Professor and Chief Imaging Physicist 

Duke University, USA

Medical Imaging

PhD, Msc, MEng

1. Zarei M, Abadi E, Samei E. A truth-based primal-dual learning approach to reconstruct
CT images utilizing the virtual imaging trial platform. SPIE International Symposium on
Medical Imaging, San Diego, CA, February 2022. Proc. SPIE Medical Imaging (in print,
2022).
2. Gann A, Abadi E, Zarei M, Solomon J, Sauer TJ, Samei E. Minimum Detectable Change
in Radiomics Features Across CT Imaging Conditions and Nodule Sizes. SPIE
International Symposium on Medical Imaging, San Diego, CA, February 2022. Proc. SPIE
Medical Imaging (in print, 2022).
3. Tanaka R, Segars WP, Abadi E, Minami S, Samei E. Optimization of imaging conditions
in pediatric dynamic chest radiography: A virtual imaging trial. SPIE International
Symposium on Medical Imaging, San Diego, CA, February 2022. Proc. SPIE Medical
Imaging (in print, 2022).
4. Clark D, Abadi E, Felice N, Segars WP, E. Samei, Badea C. Cardiac CT reconstruction for
vendor-neutral virtual imaging trials. SPIE International Symposium on Medical Imaging,
San Diego, CA, February 2022. Proc. SPIE Medical Imaging (in print, 2022).
5. Min Z, Sauer TJ, Segars WP, Abadi E, Samei E. Algorithm-based modeling of trabecular
bone structures for use with XCAT phantoms. SPIE International Symposium on Medical
Imaging, San Diego, CA, February 2022. Proc. SPIE Medical Imaging (in print, 2022).

Ehsan Samei, PhD, DABR, FAAPM, FSPIE, FAIMBE, FIOMP, FACR is a board-certified medical physicist and professor at Duke University, where he serves as Chief Imaging Physicist, director of the Ravin Advanced Imaging Laboratories, and director of the Center for Virtual Imaging Trials. He has been a founding force behind major scientific, educational, and professional initiatives in medical physics, including the Duke Medical Physics Graduate and Residency Programs, the Duke Clinical Imaging Physics Group, the Society of Directors of Academic Medical Physics Programs, the Center for Virtual Imaging Trials, and the Medical Physics 3.0 initiative.  Author of over 320 referred papers, he is passionate about bridging the gap between scientific scholarship and clinical practice through virtual clinical trials, clinically-relevant metrologies, and Medical Physics 3.0. He aims towards quantitative patient-centric use of imaging, effectual realization of translational research, and clinical processes that are based on evidence. Dr. Samei has been an active contributor to major professional organizations, major journals, and grant agencies, and has held elected leadership positions including the presidency of the SDAMPP, the chairmanship of the SPIE International Medical Imaging Symposium, and the upcoming presidency of the AAPM.

Senior Medical Physics Specialist

Icon Cancer Centre

Radiation Oncology Medical Physics

Doctor of Philosophy

Yunfei Hu is a Senior Medical Physics Specialist working at Icon Cancer Centre Gosford. He is particularly interested in imaging, adaptive radiotherapy, and artificial intelligence in radiotherapy. Valuing research as much as clinical practice, Yunfei has so far published a few papers in different areas of radiotherapy and is actively engaged in implementing new technologies within Icon Cancer Centre.

Deputy Director

Department of Radiation Oncology, Fudan University Shanghai Cancer Center

Radiation therapy physics

Ph.D

Professor & Director of Physics, Department of Radiotherapy of Cancer Hospital

National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Application of artificial intelligence in radiation therapy

2017.09-2019.07, Postdoc, University of Pennsylvania & American College of Radiology (ACR)

Published 33 papers as first author and corresponding author (only partly shown)
(1) Men Kuo*, Geng Huaizhi, Zhong Haoyu, Fan Yong, Alexander Lin, Xiao Ying. A deep learning model for predicting xerostomia due to radiotherapy for head-and-neck squamous cell carcinoma in the RTOG 0522 clinical trial. International Journal of Radiation Oncology - Biology - Physics, 2019,105(2):440-447. 
(2) Men Kuo, Chen Xinyuan, Yang Bining, Zhu Ji, Yi Junlin, Wang Shulian, Li Yexiong, Dai Jianrong*. Automatic segmentation of three clinical target volumes in radiotherapy using lifelong learning. Radiotherapy and Oncology, 2021,157:1-7. 
(3) Men Kuo, Dai Jianrong, Li Yexiong. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks. Medical Physics, 2017, 44(12): 6377-6389. 
(4 )Men Kuo*, Pamela Boimel, James Janopaul-Naylor, Zhong Haoyu, Huang Mi, Geng Huaizhi, Cheng Chingyun, Fan Yong, John P Plastaras, Edgar Ben-Josef, Xiao Ying. Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy. Physics in Medicine and Biology, 2018, 63(18): 185016. 
(5) Men Kuo*, Geng Huaizhi, Cheng Chingyun, Zhong Haoyu, Huang Mi, Fan Yong, John P Plastaras, Alexander Lin, Xiao Ying. Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades. Medical Physics, 2019, 46(1): 286-292.

Kuo Men, PhD in Medical Physics, Associate Researcher, Director of Physics Department of Radiotherapy of Cancer Hospital. Deputy head of medical physics of Radiation Oncology Branch of the Chinese Medical Association, member of the Standing Committee of the Particle Accelerator Branch of the Chinese Physical Society, member of the Academic Committee of the Asia-Pacific Medical Physics Society, and a member of the Radiotherapy Professional Committee of the China Anti-Cancer Association, etc.

Major in application of artificial intelligence in radiation therapy. Won the titles of Rising Star of Beijing Science and Technology, Young Scientist of International Organization of Medical Physics (IOMP), etc. I have presided over 3 National Natural Science Foundation of China (1 youth project) and 1 provincial and ministerial level project. Have published 33 papers (including 26 SCI) as the first / Corresponding author and have obtained 2 authorized invention patents. Participated in the research and development of automatic delineation system of radiotherapy target as the main contributor, and won the "30 Best Cases of Artificial Intelligence Application in Medical Health" by the National Health Commission.

Vice Director, Chief Physicist

Vice Director, Chief Physicist

Medical Physics

Ph.D, Tsinghua University (Peking Union Medical College)

Part of publications:
1.    Zhang J, Cheng Z, Fan Z, Zhang Q, Zhang X, Yang R, Wen J. A feasibility study for in vivo treatment verification of IMRT using Monte Carlo dose calculation and deep learning-based modelling of EPID detector response. Radiat Oncol. 2022;17(1):31. 
2.    Jun Li, Xile Zhang, Yuxi Pan, Hongqing Zhuang, Ruijie Yang. Comparison of Ray Tracing and Monte Carlo Calculation Algorithms for Spine Lesions Treated With CyberKnife. Front Oncol, 2022;12:898175.
3.    Wenbin Wu, Runhong Lei, Kai Niu, Ruijie Yang and Zhiqiang He. Automatic Segmentation of Colon, Small Intestine and Duodenum Based on Scale Attention Network. Med Phys, 2022, In Press. 
4.    Wangjiang Wu, Junda Qu, Jing Cai, and Ruijie Yang. Multi-Resolution Residual Deep Neural Network for Improving Pelvic CBCT Image Quality. 2022, Medical Physics. 49(3):1522-1534. 
5.    Zhang Qilin, Bao Peng, Qu Ang, Jiang Weijuan, Jiang Ping, Zhuang Hongqing, Dong Bin, Yang Ruijie. The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer. J Appl Clin Med Phys. 2022, e13583.
6.    Jun Zhang, Ziting Fan, Xile Zhang, Ruijie Yang, Junhai Wen. Development of an electronic portal imaging device dosimetry method. Diagnostics (Basel). 2021;11(9):1654. 
7.    Haonan Xiao, Xinzhi Teng, Chenyang Liu, Tian Li, Ge Ren, Ruijie Yang, Dinggang Shen, Jing Cai. A Review of Deep Learning-Based Three-dimensional Medical Image Registration Methods. Quant Imaging Med Surg 2021;11(12):4895-4916.
8.    Jun Zhang, Xiuqing Li, Miaomiao Lu, Qilin Zhang, Xile Zhang, Ruijie Yang, Maria F. Chan and Junhai Wen. A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device. Radiation Oncology (2021) 16:232.
9.    Li Jun, Zhang Xile, Pan Yuxi, Zhuang Hongqing, Wang Junjie Yang Ruijie. Assessment of Delivery Quality Assurance for Stereotactic Radiosurgery With Cyberknife. Front. Oncol, 2021, 11:751922.  
10.    Xi Liu, Kai-Wen Li, Ruijie Yang, Li-Sheng Geng. A Review on Deep Learning-based Automatic Segmentation for Lung Cancer Radiotherapy. Frontiers in Oncology, 2021;11:717039.
11.    Gong Wang, Hao Wang, Hongqing Zhuang, Ruijie Yang. An Investigation of Non-coplanar Volumetric Modulated Radiation Therapy for Locally Advanced Unresectable Pancreatic Cancer Using A Trajectory Optimization Method. Front Oncol. 2021; 11: 717634.
12.    Shuming Zhang, Hao Wang, Suqing Tian, Xuyang Zhang, Jiaqi Li, Runhong Lei, Mingze Gao, Chunlei Liu, LiYang,Xinfang Bi,Linlin Zhu, Senhua Zhu, Ting Xu and Ruijie Yang. A slice classification model facilitated 3D encoder-decoder network for segmenting organs at risk in head and neck cancer. J Radiat Res. 2021, 62(1):94-103.
13.    Runhong Lei, Xile Zhang, Jinna Li, Haitao Sun, Ruijie Yang. Auxiliary Structures-assisted Radiotherapy Improvement for Advanced Left Breast Cancer. Frontiers in Oncology, 2021, 11:702171. 
14.    R. Yang, X. Yang, L. Wang, D. Li, Y. Guo, Y. Li, Y. Guan, X. Wu, S. Xu, S. Zhang, M. Chan, L. Geng, J. Sui, Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario, Radiotherapy and oncology, 2021. 161:230-240.
15.    Le wang, Jiaqi Li, Shuming Zhang, Xile Zhang, Qilin Zhang, Maria F Chan, Ruijie Yang,and Jing Sui. Multi-task autoencoder based classification-regression (ACLR) model for patient-specific VMAT QA. 2020. Phys. Med. Biol. 65 235023. 
16.    Mingqing Wang, Qilifn Zhang, Sai Kit Lam, Jing Cai, Ruijie Yang. A review on application of deep learning algorithms in external beam radiotherapy automated treatment planning. Frontiers in Oncology. 2020, 580919.
17.    Yuxi Pan, Ruijie Yang, Shuming Zhang, Jiaqi Li, Jianrong Dai, Junjie Wang, Jing Cai. National survey of patient specific IMRT quality assurance in China. Radiation Oncology, 2019, 14:69. 
18.    Jiaqi Li, Xile Zhang, Jun Li, Rongtao Jiang, Jing Sui, Ruijie Yang, and Maria F. Chan. Impact of Delivery Characteristics on Dose Delivery Accuracy of Volumetric Modulated Arc Therapy for Different Treatment Sites. Journal of Radiation Research, 2019, 60(5): 603–611.
19.    Jia Qi Li, Le Wang, Xile Zhang, Lu Liu, Jun Li Maria, Jing Sui, Ruijie Yang. Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy. International Journal of Radiation Oncology Biology & Physics. 2019, 105(4):893-902.

Ruijie Yang received his Ph.D. degree in medical physics from Tsinghua University (Peking Union Medical College), Beijing, China in 2007. He is an associate professor, vice director and chief physicist in Department of Radiation Oncology in Peking University Third Hospital. He is the author of more than 100 peer-reviewed papers and 10 grants, including the National Key Research and Development Program of China. His research interests include AI in radiation oncology, seed implant and high dose rate (HDR) for brachytherapy, treatment planning optimization, image-guided intensity-modulated radiation therapy and SBRT/SRS. He is an associate editor of Journal of Applied Clinical Medical Physics, reviewer of International Journal of Radiation Oncology Biology & Physics, Radiotherapy & Oncology and Medical Physics, et al. He is also the reviewer of National Science Foundation of China, Department of Science and Technology, and State Food and Drug Administration of China. He is a Committee Member, vice director in education and training subcommittee of Chinese Society of Medical Physics, Member, TG-AI4 Radiology, ITU & WHO FG-AI4Health, International Electrotechnical Commission, Equipment for radiotherapy, nuclear medicine & radiation dosimetry, IEC 62/SC 62C/WG 1, the lead country coordinator of the international collaborative program in Improving the Quality of Radiotherapy，IAEA RCA Programme RAS6101. Dr. Yang was a recipient of the American Brachytherapy Society Seattle Prostate Program Fellowship in 2009, and the American Brachytherapy Society HDR Brachytherapy Scholarship in 2014.

Chairman

Hong Kong Institution of Physicists in Medicine

Radiation Oncology Physics

Ph.D. 

51 peer-reviewed papers, book chapters and abstracts/presentations

Professor Kin Yin Cheung is a Senior Medical Physicist at the Medical Physics Department, Hong Kong Sanatorium & Hospital (HKSH); Adjunct Professor at School of Medical & Health Sciences, Tung Wah College; and Adjunct Associate Professor at the Department of Clinical Oncology, Chinese University of Hong Kong. He is a Certified Medical Physicist, Chartered Engineer, and Chartered Radiation Protection Professional. Before joining the HKSH, Professor Cheung has been practicing in the public hospital system in Hong Kong for over 30 years. He has made significant contributions from the physics and technology aspects in the development of radiation oncology facilities and services in Hong Kong. His current main interest is in MR-guided radiation therapy and proton therapy. He has published/presented more than 264 scientific peer-reviewed papers, abstracts, book chapters, and presentations in major international conferences. Professor Cheung is an Honorary Member of Hong Kong College of Radiologists, Fellow of IOMP, Fellow of IUPEM, Fellow of IPEM, Fellow of HKIE, Member of SRP, Member of AAPM, and Member of ASTRO. He is the Chairman of Hong Kong Institution of Physicist in Medicine, Registrar of the International Medical Physicist Certification Board, Founding President of AFOMP (2000-03), Past-President of IOMP (2012-15), and Past-President of IUPESM (2015-18). He has been a longtime supporter and facilitator for international collaboration on development of the international infrastructures and platforms for promoting the visibility, standard of practice and professional status of medical physicists.

Medical Physicist

Hong Kong Sanatorium & Hospital

Motion tracking, MR-guided radiotherapy and proton therapy

PhD

B. Yang, J. Yuan, D.M.C. Poon, H. Geng, W. Lam, K.Y. Cheung and S.K. Yu, Assessment of planning target volume margins in 1.5 T magnetic resonance-guided stereotactic body radiation therapy for localized prostate cancer, Prec Radiat Oncol. 2022; 6:127-135. doi: https://doi.org/10.1002/prro6.1155.

C. Kong, T. Chiu, H. Geng, W. Lam, B. Yang, C. Cheung, & S. Yu, Dosimetric comparison of Synchrony® real-time motion tracking treatment plans between CyberKnife robotic radiosurgery and Radixact system for stereotactic body radiation therapy of lung and prostate cancer. Journal of Radiotherapy in Practice, 1-8 (2022)

D.M.C. Poon, B. Yang, H. Geng, O.L. Wong, S.T. Chiu, K.Y. Cheung, S.K. Yu, G. Chiu and J. Yuan, Analysis of online plan adaptation for 1.5T magnetic resonance-guided stereotactic body radiotherapy (MRgSBRT) of prostate cancer, J. Cancer Res Clin. Oncol. 2022; 24:1–10.;

B. Yang, K.K. Tang, C.Y. Huang, H. Geng, W.W. Lam, Y.S. Yeung, M.Y. Tse, K.K. Lau, K.Y. Cheung and S.K. Yu, Out-of-field dose and its constituent components for a 1.5 T MR-Linac, Phys. Med. Biol. 2021; 66:225012.

B. Yang, J. Yuan*, K.Y. Cheung, C.Y. Huang, D.M.C. Poon and S.K. Yu, Magnetic Resonance-Guided Radiation Therapy of Patients With Cardiovascular Implantable Electronic Device on a 1.5 T Magnetic Resonance-Linac, Pract. Radiat. Oncol. 2022; 12(1):e56-e61. doi: 10.1016/j.prro.2021.08.011. (*Co-first author)

D.M.C. Poon, J. Yuan, O.L. Wong, B. Yang, S.T. Chiu, K.Y. Cheung, G. Chiu and S.K. Yu, 1.5T Magnetic Resonance-Guided Stereotactic Body Radiotherapy for Localized Prostate Cancer: Preliminary Clinical Results of Clinician- and Patient-Reported Outcomes, Cancers, 2021; 13, 4866

C. Xue, J. Yuan, D.M.C. Poon, Y.H. Zhou, B. Yang, S.K. Yu and K.Y. Cheung, Reliability of MRI radiomics features in MR-guided radiotherapy for prostate cancer: Repeatability, reproducibility, and within-subject agreement, Med. Phys.  2021;48(11):6976-6986. doi: 10.1002/mp.15232

B. Yang, K.K. Tang, H. Geng, W.W. Lam, Y.S. Wong, C.Y. Huang, T. L. Chiu, C. W. Kong, C. W. Cheung, K.Y. Cheung and S.K. Yu, Comparison of modeling accuracy between Radixact^® and CyberKnife^® Synchrony respiratory tracking system, Biomed Phys. Eng. Express 2021; 7:067001

B. Yang, Y.S. Wong, W.W. Lam, H. Geng, C.Y. Huang, K.K. Tang, W.K. Law, C.C. Ho, P.H. Nam, K.Y. Cheung and S.K. Yu, Initial clinical experience of patient-specific QA of treatment delivery in online adaptive radiotherapy using a 1.5 T MR-Linac, Biomed Phys. Eng. Express 2021; 7:035022

C.Y. Huang, B. Yang*, W.W. Lam, K.K. Tang, T.C. Li, W.K. Law, K.Y. Cheung and S.K. Yu, Effects on skin dose from unwanted air gaps under bolus in an MR-guided linear accelerator (MR-linac) system, Phys. Med. Biol. 2021; 66:065021 (*Co-first author)

S. H. Yoo, H. Geng, W.W. Lam, C.W. Kong, B. Yang, T. L. Chiu, P.M. Wu, K.Y. Cheung and S.K. Yu, Study on treatment planning for the prostate in proton therapy with oxygen enhancement ratio effect, Journal of the Korean Physical Society, 2020; 77(7): 613-23

B. Yang, W.K.R. Wong, W.W. Lam, H. Geng, C.W. Kong, K.Y. Cheung and S.K. Yu, A novel method for monitoring the constancy of beam path accuracy in CyberKnife, Journal of Applied Clinical Medical Physics, 2019; 20(5): 109-119.

B. Yang, T.L. Chiu, W.K. Law, H. Geng, W.W. Lam, T.M. Leung, L.H. Yiu, K.Y. Cheung and S.K. Yu, Performance evaluation of the CyberKnife system in real-time target tracking during beam delivery using a moving phantom coupled with tow-dimensional detector array, Radiol. Phys. Technol. 2019; 12:86

B. Yang, H. Geng, Y.Ding, C.W. Kong, C.W. Cheung, T.L. Chiu, W.W. Lam, K.Y. Cheung and S.K. Yu, Development of a Novel Methodology for QA of Respiratory Gated and VMAT Beam Delivery Using Octavius 4D Phantom, Med. Dosim. 2019; 44:83

Dr. Bin YANG obtained his Bachelor’s degree in science with honor of excellent graduate from Nanjing University in 2007. In 2011, he graduated from the University of Hong Kong with a Doctor of Philosophy (Ph.D). After his graduation, he joined Hong Kong Sanatorium & Hospital as a medical physicist and was granted the professional qualification of Certified Medical Physicist by Hong Kong Institution of Physicists in Medicine (HKIPM) with a demonstrated working experience and qualification in radiotherapy. He has been serving as a councilor member of HKIPM since 2019 and as an education and training committee member of Asian-Oceania Federation of Organization for Medical Physics (AFOMP) since 2018.
He has published more than twenty research works in intentional journals and given more than fifty oral and poster presentations in intentional conferences. His research interests are mainly in motion tracking techniques, MR-guided radiotherapy and proton therapy.

Group leader

National Institutes for Quantum and Radiological Science and Technology

Image processing, Image guidance, Treatment planning, Machine learning

March, 2000    Allied Health Sciences (B.S.)    Osaka University, Faculty of Medicine, Japan
March, 2002    Medicine (M.S.)    Osaka University, School of Medicine, Japan
March, 2006    Medicine (PhD)    Osaka University, School of Medicine, Japan

1. Report of AAPM Task Group 290: Respiratory motion management for particle therapy, Medical Physics 49(2022)
2. The markerless lung target tracking AAPM grand challenge (MATCH) results, Medical Physics 49(2021)
3. Simulated four-dimensional CT for markerless tumor tracking using a deep learning network with multi-task learning, Physica Medica 80(2020)

My group and I have previously developed the Area-detector CT (ADCT) scanner collaborated with Toshiba Medical Systems. This ADCT has 320 multi-slice CT and powerful tool in the diagnostic field, especially in the cardiac CT imaging without ECG-gating (one-beat imaging). My group and I developed CT reconstruction algorithm, image processing to apply the ADCT to clinic. Today the ADCT is available as commercial CT “Aquilion One” and in use for diagnostic filed and therapeutic field at most hospital in Japan, and many worldwide. I applied the ADCT to IGRT for 4D imaging for treatment planning. More recently my research interests have shifted towards the 4D treatment planning and beam delivery. For particle scanning beam treatment, the scanning allows for real 3D dose conformation of the target and additionally enables the delivery of IMPT fields, however, it is strongly affected by interplay effect. We, therefore, try to explore the motion management to improve dose conformation to the moving target. We developed phase-controlled rescanning and 4D carbon-ion scanning beam treatment planning using 4DCT and integrated into clinic. Another challenge in particle scanning beam irradiation, gating strategy should be changed respiratory phase-based gating to tumor amplitude-based gating to irradiate treatment beam when tumor is positioned at the decided by treatment planning. To do so, we integrated real-time marker-less tumor tracking for respiratory gating.

Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia

Professor Dr. Kwan Hoong Ng was born on 13 February 1954, and raised in Kuala Lumpur. Following secondary education at the Methodist Boys School, he pursued his tertiary education in Physics in Universiti Malaya (UM) in 1978. He went on to receive his M.Sc. (Medical Physics) from the University of Aberdeen and Ph.D. (Medical Physics) from the Department of Pathology, UM (1995). He is certified by the American Board of Medical Physics (1999), and a fellow of the Institute of Physics (UK and Malaysia), the International Organization for Medical Physics (IOMP), and the Academy of Sciences Malaysia. He was also admitted into the Academy of Medicine, Malaysia

Professor Ng’s contributions are highly regarded in the areas of breast imaging, radiological protection, radiation dosimetry, medical physics education, and risk communication. He also continues to pursue new discoveries with international research collaborators on breast density, image processing, and radiation dosimetry. His body of work has enabled the early detection and risk management of breast cancer for millions around the world.

Professor Ng is currently Honorary Professor at the Department of Biomedical Imaging, UM. He started his career at UM as a scientific officer in 1985, and later as a lecturer (1990) rising in rank to professor (2001). He was a visiting scholar at the University of Wisconsin, Madison, USA during 1995-1997. Upon returning to UM, he established UM’s Master of Medical Physics programme in 1998, being the only post-graduate medical physics academic programme outside the UK and Ireland which is accredited by the UK Institute of Physics and Engineering in Medicine. It has since produced over 120 graduates. He has also been actively contributing to the education of radiologists, clinical oncologists, biomedical engineers and allied health professionals.

Professor Ng has held visiting professorship at Jinan University, China; Chang Gung University and Kaoshiung Medical University, Taiwan; Chulalongkorn University, Thailand;  University of Newcastle and University of Sydney, Australia; and University of Sao Paolo, Brazil.

He served as chairman of the IOMP international advisory board (2003-2006); and chairman of its publication committee. In recognition of his dedication and contribution in the education and training of medical physicists and health personnel, as well as the advancement of the profession, Prof Ng was honoured as one of the top 50 medical physicists in the world by the IOMP in 2013.

A multidisciplinary expert, Professor Ng also served as a consultant on the International Atomic Energy Agency (IAEA) since 1993. As part of the expert mission, he has delivered conference lectures, drafted and reviewed codes, guidelines, and reports with notable contributions, including to these: “Diagnostic Radiology Physics - A Handbook for Teachers and Students”; “Clinical Training of Clinical Medical Physicists Specializing in Diagnostic Radiology”; and the “The Fukushima Daiichi Accident”. Between 2014 and 2017, Professor Ng established the ASEAN College of Medical Physics (ACOMP) and the South East Asian Federation of Organizations of Medical Physicists (SEAFOMP), and co-founded the Asia-Oceania Federation of Organizations of Medical Physicists (AFOMP).

His extensive and pioneering research on breast cancer imaging, education initiatives and leadership won him the world's highest rank and most prestigious award in medical physics - the  Marie Sklodowska-Curie Award in 2018. He is currently the first and only Asian and one of only 8 persons worldwide to have been conferred this highly coveted accolade since 2000, as recognised by IOMP which represents 25,000 of the world’s leading medical physicists. 

He was a member of the international advisory committee on electromagnetic frequency (EMF) of the World Health Organization in 2005. He has also served as a consulting expert for the International Commission on Non-Ionizing Radiation Protection (ICNIRP) in 2008.  He was conferred the inaugural International Union for Physical and Engineering Sciences in Medicine (IUPESM) Fellowship by IOMP in 2020.

In recognition of his unparalleled work as a medical physics pioneer whose research in radiation medicine has contributed significantly to the fight against breast cancer globally, Professor Ng was awarded the prestigious Merdeka Award for Outstanding Scholastic Achievement in 2020.

As further testament to his significant work, Professor Ng was elected as a fellow of The World Academy of Sciences (TWAS). Here, Professor Ng will uphold TWAS’ shared belief that developing nations can collectively address challenges such as hunger, disease and poverty by building strength in science and engineering, while supporting sustainable prosperity through research, education, policy, and diplomacy.

Professor Ng has authored and co-authored over 300 papers in international peer-review journals, 80 conference proceedings papers, 25 book chapters and has co-edited 12 books.  He is in the editorial and advisory board of more than 12 journals. His most recent book, "Medical Physics during the COVID-19 Pandemic," which features over 90 authors from over 40 countries, was published in 2021.  An accomplished speaker, Professor Ng has presented over 600 scientific papers, more than 350 of them being invited lectures.

Professor Ng is married to Madam Sia Leng Suan, and they are blessed with two children and three lovely grandchildren.

He enjoys classical music, in particular the works of Beethoven and Tchaikovsky, and devotes his time to charity and humanitarian works when he isn’t strolling in the local parks, or in the library burrowing in intriguing books.

Professor Ng remains committed to scientific research and education. He continues to channel his expertise for the benefit of UM, advancing the love for science especially amongst underprivileged communities, and raising the prestige of Malaysian scientists in the international arena. In particular, through the International Leadership and Mentoring Programme that nurtures early-career medical physicists, especially from developing countries into inspiring leaders of their field.

His life motto takes on that of Saint Augustine: “Humility, gratitude and charity.  Humility is the foundation of all the other virtues.”

Director of Medical Physics

Kaohsiung Chang Gung Memorial Hospital

Medical Physics

Master of Science

H Li, W Hrinivich, H Chen, K Sheikh, M Ho, R Ger, D Liu, R Hales, K Voong, A  Halthore, and C Deville, Evaluating Proton Dose and Associated Range Uncertainty Using Daily Cone-Beam CT. Front Oncol. 2022; 12.
C Liu, M Ho, J Park, W Hsi, X Liang, Z Li, Y Song, H Feng, Y Zhang, Fast MCsquare-Based Independent Dose Verification Platform for Pencil Beam Scanning Proton Therapy. Technology in Cancer Research & Treatment, Vol 20, 2021.
B.Hoppe, J Bates, N Mendenhall, C Morris, D Louis, M Ho, R Hoppe, M Shaikh, Z Li, S Flampouri. The Meaningless Meaning of Mean Heart Dose in Mediastinal Lymphoma in the Modern Radiation Therapy Era. Practical Radiation Oncology, Vol 10, Issue 3, Pages e147-e154, 2020.

Meng Wei Ho received the MSc degree in the Department of Nuclear Science at National Tsing Hua University, Hsinchu, Taiwan. He worked as a medical physicist at University of Florida Health Proton Therapy Institute, and senior clinical physicist in the Department of Radiation Oncology at Johns Hopkins University. He is currently the director of medical physics in the Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital, Taiwan. His current research interests include planning scripting, automatic planning, LET based optimization, and QA automation.

Medical Physicist & Commissioning Lead

National Taiwan University Cancer Center

Therapeutic physics, particle therapy, simulation, image processing

2007-2015, Ph.D. , Medical Physics in Department of Biomedical Engineering, Environmental Sciences, National Tsing Hua Univ., Taiwan
2006-2007, Master program, in Medical Physics in Department of Biomedical Engineering, Environmental Sciences, National Tsing Hua Univ., Taiwan
2002-2006, B.S. in Department of Medical Imaging and Radiological Science, Kaohsiung Medical Univ., Taiwan

1. Y.-C. Tsai, C.-C. Wang, C.-W. Wang, H.-K. Liang, S.-F. Wang, C.-J. Wu, C.-S. Lin* (2022). Efficient method for whole-breast irradiation therapy using halcyon linear accelerators, J. Appl. Clin. Med. Phys., e13635
2. C.S. Lin*, Y.C. Tsai, C.W. Wang, C.C. Wang, H.K. Liang (2022) Preliminary volume dose evaluation of dose to medium vs. dose to water reporting mode of Acuros PT in Eclipse, PTCOG, 60th Annual Conference
3. Y. Lin, C. Yu, C. Lin, C. Wang, C. Lee, H. Lin* (2021) MVCT-assisted Metal Artifact Correction for CT enabled by Deep Learning, IEEE NSS MIC
4. CS Lin*, M Kang, Y Wu, S Huang, J Zhou, S Tang, Q Chen, F Yu, C.B. Simone, H Lin* (2020) Effective validation of proton PBS commissioning: cross-center dosimetric comparison, PTCOG, 59th Annual Conference
5. YC Tsai*, CS Lin, C Chong, SH Lu, CW Wang, SH Kuo (2020) A retrospective analysis of margin design and immobilization strategies for lung cancers for a new proton center, PTCOG, 59th Annual Conference
6. SH Lu*, YC Tsai, CS Lin, C Chong, CW Wang, SH Kuo (2020) Margin design for breast cancers for a new proton center: a retrospective study, PTCOG, 59th Annual Conference
7. M Kang, L Hu, YT Wu, WJ Xiong, F Yu, Q Chen, CS Lin, C Ackerman, JQ Zhang, HB Lin* (2020) Reference Dose Measurement of Proton Beams With Solid Water Phantom, PTCOG, 59th Annual Conference
8. CS Lin*, YC Tsai, C Chong, SH Lu, CW Wang, SH Kuo (2019) Comparison of proton therapy with pencil scanning beams, Rapid-Arc technique, and high energy electron beams for boosting tumor bed of hypofractionated radiation therapy on patients with early-stage breast, AAPM, 61^th Annual Conference

Chang-Shiun Lin is currently a Medical Physicist and lead of proton commissioning project of National Taiwan University Cancer Center. He received his Ph.D degree in Biomedical Engineering and Environmental Sciences from National Tsing-Hua University and subsequently joined National Taiwan University Cancer Center (NTUCC). From 2017 to 2019, NTUCC sent Dr. Lin to Paul Scherrer Institute, California Proton Therapy Center, Maryland Proton Therapy Center, and New York Proton Center as a visiting medical physicist for clinical and academic communications. His research interest and expertise include medical imaging, physics in radiation therapy and nuclear medicine, applications of Monte Carlo simulation, and radiation measurement. 

Medical Physicist

China Medical University Hospital

Clinical radiotherapy technology

•    M.S. in animal MR Imaging, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University
•    B.S. in Medical Imaging and Radiological Science, Chang Gung University

1.    Pan, C. H., Shiau, A. C., Li, K. C., Hsu, S. H., & Liang, J. A. (2019). The irregular breathing effect on target volume and coverage for lung stereotactic body radiotherapy. Journal of applied clinical medical physics, 20(7), 109-120.
2.    Lu, L. S., Pan, C. H., Lin, Y. H., Lai, H. Y., Tai, C. J., Hsu, C. Y., ... & Ting, L. L. (2016). Salvage concurrent chemoradiation therapy stabilizes progression of recurrent intimal sarcoma of the left atrium: a case report. 放射治療與腫瘤學, 23(4), 277-284.
3.    高怡慈, 潘佳欣, 吳竟輔, 陳東河, 許芳齊, 李欣倫, ... & 鄭秀成. (2016). 臨床磁振導航聚焦超音波系統的位置穩定性分析: 一年的經驗. 放射治療與腫瘤學, 23(2), 107-114.
4.    Liu, H. L., Hua, M. Y., Chen, P. Y., Chu, P. C., Pan, C. H., Yang, H. W., ... & Wei, K. C. (2010). Blood-brain barrier disruption with focused ultrasound enhances delivery of chemotherapeutic drugs for glioblastoma treatment. Radiology, 255(2), 415-425.
5.    Liu, H. L., Pan, C. H., Ting, C. Y., & Hsiao, M. J. (2010). Opening of the blood-brain barrier by low-frequency (28-kHz) ultrasound: a novel pinhole-assisted mechanical scanning device. Ultrasound in medicine & biology, 36(2), 325-335.

Technical Chief of Radiology Department

Far Eastern Memorial Hospital

medical physics, SBRT, total skin irradiation, deep learning

Ph.D. of Department of Biomedical Imaging and Radiological Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.

2020-Present Technical Chief of Radiology Department, Far Eastern Memorial Hospital, Taiwan. 
2008-Present Medical Physicist and Senior Radiation Protection Personnel, Far Eastern Memorial Hospital, Taiwan. 
2003-2007 Radiation Therapist and Senior Radiation Protection Personnel, Far Eastern Memorial Hospital, Taiwan. 
2002-2003 Medical Physicist and Senior Radiation Protection Personnel, MacKay Memorial Hospital, Taiwan. 
1999-2002 Radiation Therapist, MacKay Memorial Hospital, Taiwan.

1.    Pei-Yu Hou, Chen-Hsi Hsieh, Le-Jung Wu, Chen-Xiong Hsu, Deng-Yu Kuo, Yueh-Feng Lu, Hui-Ju Tien, Hsiu-Wen Hsiao, Pei-Wei Shueng, Shih-Ming Hsu. Modern Rotational Radiation Techniques with Volumetric Modulated Arc Therapy or Helical Tomotherapy for Optimal Sparing of the Lung and Heart in Left-Breast Cancer Radiotherapy Plus Regional Nodal Irradiation: A Comparative Dosimetric Analysis. Cancers, 2021, 13.20: 5043. IF: 6.639.
2.    Hui‑Ju Tien, Hsin‑Chih Yang, Pei‑Wei Shueng, Jyh‑Cheng Chen. Cone-beam CT image quality improvement using Cycle-Deblur consistent adversarial networks (Cycle-Deblur GAN) for chest CT imaging in breast cancer patients. Scientific Reports, 2021, 11.1: 1-12. IF: 4.379
3.    Kuan‑Heng Lin, Chen‑Xiong Hsu, Shan‑Ying Wang, Greta S. P. Mok, Chiu‑Han Chang, Hui‑Ju Tien, Pei‑Wei Shueng, Tung‑Hsin Wu. Volume-based algorithm of lung dose optimization in novel dynamic arc radiotherapy for esophageal cancer. Scientific Reports, 2021, 11.1: 1-9. IF: 4.379
4.    Hsin-Pei Yeh, Yu-Chuen Huang, Li-Ying Wang, Pei-Wei Shueng, Hui-Ju Tien, Chiu-Han Chang, San-Fang Chou, and Chen-His Hsieh. Helical tomotherapy with a complete-directional-complete block technique effectively reduces cardiac and lung dose for left-sided breast cancer. The British journal of radiology, 2020, 93.1108: 20190792. IF: 3.039
5.    Yu-Fang Lin, Pei-Wei Shueng, Tyng-Luen Roan, Duo-Hao Chang, Yen-Chen Yu, Che-Wei Chang, An-Ta Kuo, Yo-Shen Chen, Hsiu-Wen Hsiao, Hui-Ju Tien and Chen-Hsi Hsieh. Tomotherapy as an Alternative Irradiative Treatment for Complicated Keloids. Journal of Clinical Medicine, 2020, 9.11: 3732. IF: 4.241
6.    Chi-Yeh Wu, Tzu-Lun Huang, Hsin-Hua Nien, Pei-Wei Shueng, Hui-Ju Tien, Hsin-Pei Yeh, Chen-Hsi Hsieh. Noncoplanar volumetric modulated arc therapy for patient with optic nerve sheath meningioma: a case report and literature review. Therapeut Radiol Oncol. 2020;4:18. (non-SCI)
7.    Yu-Fang Lin, Pei-Wei Shueng, H.H. Lin, Hui-Ju Tien, Lu-Han Lai. An efficient treatment planning approach to reduce the critical organ dose in volumetric modulated arc therapy for synchronous bilateral breast cancer patients. Radiation Physics and Chemistry, 2020, 174: 108957. IF: 2.858
8.    Chen-Hsi Hsieh, Hui-Ju Tien, Yuan-Bin Yu, Yuan-Hung Wu, Pei-Wei Shueng, Yueh-Feng Lu1, Shan-Ying Wang, and Li-Ying Wang. Simultaneous integrated boost with helical arc radiotherapy of total skin (HEARTS) to treat cutaneous manifestations of advanced, therapy-refractory cutaneous lymphoma and leukemia - dosimetry comparison of different regimens and clinical application. Radiat Oncol. 2019 Jan 28;14(1):17. doi: 10.1186/s13014-019-1220-5. (co-first author) IF: 3.481
9.    Chen-Hsi Hsieh, Pei-Wei Shueng, Li-Ying Wang, Yu-Chuen Huang, Li-Jen Liao, Wu-Chia Lo,Yu-Chin Lin, Le-Jung Wu and Hui-Ju Tien. Impact of postoperative daily image-guided intensity-modulated radiotherapy on overall and local progression-free survival in patients with oral cavity cancer. BMC Cancer. 2016 Feb 23;16(1):139. doi: 10.1186/s12885-016-2165-9. IF: 4.430

Hui-Ju Tien, Ph.D. is a medical physicist of radiation oncology. Dr. Tien earned a doctoral degree from National Yang Ming Chiao Tung University of Department of Biomedical Imaging and Radiological Sciences in 2021. She joined Far Eastern Memorial Hospital in 2003 where she served as a radiation therapist for four years and medical physicist for fifteen years. She is the Technical Chief of Radiology Department. Her clinical practice and research interests are stereotactic body radiotherapy, total skin irradiation, and deep learning for image quality improvement. She earned the 2016 Medical Charity Award from the New Taipei City government for her clinical performance and research.

Director of Treatment Planning

University Of Texas Southwestern Medical Center

Treatment Planning, Adaptive Therapy, AI In Medicine

PhD, National Tsing Hua University

Dr. Mu-Han Lin is an Associate Professor and the Director of Treatment Planning at the Department of Radiation Oncology, UT Southwestern Medical Center, in Dallas, Texas. Dr. Lin background is in Medical Physics from the National Tsing-Hua University, Taiwan in 2010. After her PhD she received her residency training from Fox Chase Cancer Center, Philadelphia in 2013. She then worked as a faculty physicist at the University of Maryland, Baltimore and joined UTSW in 2016. Dr. Lin is actively involved in the clinical implementation of artificial intelligence and automation for treatment planning and adaptive therapy. She is a member of the working group in treatment planning in AAPM and the lecturer in AAPM summer school and multiple national/international meetings. 

Professor

University of Texas MD Anderson Cancer Center

Diagnostic Medical Physics, MRI Physics, Functional MRI

2005, Resident, Imaging Physics, UT MD Anderson Cancer Center
2000, PhD, Medical Physics, UT Health Science Center at San Antonio
1994, MS, Nuclear Science, National Tsing Hua University, Taiwan
1992, BS, Physics, National Tsing Hua University, Taiwan

(Selected, *corresponding author)
1.    Hsu AL, Chen HS, Hou P, Wu CW, Johnson JM, Noll KR, Prabhu SS, Ferguson SD, Kumar VA, Schomer DF, Chen JH, Liu HL*. Presurgical resting-state functional MRI language mapping with seed selection guided by regional homogeneity. Magn Reson Med 2020; 84(1):375-383.
2.    Sanders JW, Chen HS, Johnson JM, Schomer DF, Jimenez JE, Ma J, Liu HL*. Synthetic generation of DSC-MRI-derived relative CBV maps from DCE MRI of brain tumors. Magn Reson Med. 2021;85(1):469-479. 
3.    Noll KR, Chen HS, Wefel JS, Kumar VA, Hou P, Ferguson SD, Rao G, Johnson JM, Schomer DF, Suki D, Prabhu SS, Liu HL*. Alterations in functional connectomics associated with neurocognitive changes following glioma resection. Neurosurgery. 2021;88(3):544-551.
4.    Chen HS, Kumar VA, Johnson JM, Chen MM, Noll KR, Hou P, Prabhu SS, Schomer DF, Liu HL*. Effect of brain normalization methods on the construction of functional connectomes from resting-state functional MRI in patients with gliomas. Magn Reson Med. 2021;86(1):487-498.
5.    Yeh MY, Chen HS, Hou P, Kumar VA, Johnson JM, Noll KR, Prabhu SS, Ferguson SD, Schomer DF, Peng HH, Liu HL*. Cerebrovascular Reactivity Mapping Using Resting-State Functional MRI in Patients with Gliomas. J Magn Reson Imaging. 2022 Apr 9. Online ahead of print.

Dr. Liu is a Professor in the Department of Imaging Physics, Division of Diagnostic Imaging at the University of Texas MD Anderson Cancer Center (MD Anderson). After completed his PhD study in August 2000, Dr. Liu returned to Taiwan and became an Assistant professor in the Department of Medical Imaging and Radiological Sciences (MIRS) at the Chang Gung University (CGU). He also served as a medical physics consultant in the Department of Medical Imaging and Intervention at the Chang Gung Memorial Hospital. Dr. Liu was promoted to Associate Professor in 2003 and Full Professor in 2008. During 2004-2005, Dr. Liu was awarded a fellowship from the Radiological Society of North America to attend the Imaging Physics Residency Program at the MD Anderson. He completed the American Board of Radiology examinations and became a board-certified Diagnostic Medical Physicist in 2005. Dr. Liu then returned to his faculty position in Taiwan and served as Associate Chair of the MIRS at CGU during 2006-2010. In 2014, Dr. Liu moved back to Texas and served as a tenured Professor (clinical track) at his current department. He became Director of Imaging Physics Residency Program in 2016. At MD Anderson, Dr. Liu is leading technical development and clinical service of the presurgical functional MRI and the advanced brain tumor imaging programs. Dr. Liu has more than 20 years of experience in advanced neuroimaging and imaging physics. His research interest is on development of perfusion and functional MRI methods for management of neurological diseases. He has been serving as a PI or a co-investigator in research grants from NIH (US) and MOST (Taiwan). He has authored over 130 peer-reviewed articles in scientific journals, and frequently lectured at national and international conferences including AAPM and ISMRM.

Medical Physicist

Peter MacCallum Cancer Centre

Radiation oncology physics

Certified Medical Radiation Physicists (Radiation Oncology), ACPSEM 2015

PhD, University of Wollongong, 2010

B.Sc. (Physics, Honours Class 1), University of Wollongong, 2005

29

Google scholar profile

Nick completed his PhD in radiobiological optimisation and interface dosimetry with the Centre for Medical Radiation Physics at the University of Wollongong. Nick then completed post-doctoral research with the University of Wisconsin-Madison and clinical radiotherapy physics training at Peter MacCallum Cancer Centre, where his research interests included use of image registration techniques in adaptive radiotherapy and functional imaging. Nick is currently a Medical Physicist and Research Lead at Peter MacCallum Cancer Centre where his research interests are in stereotactic ablative body radiotherapy, upright radiation therapy and use of functional imaging in radiation therapy.

Unit Head, Radiation Protection of Patients Unit

International Atomic Energy Agency

International Atomic Energy Agency

B.Sc., M.Sc., Ph.D.

Vice Dean of School of Basic Medical Science, Chief medical physicist & Director of Radiotherapy Center of First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China

Chair of Education and Training Committee (ETC) of Asian-Oceania Federation of Organizations for Medical Physics (AFOMP)

Medical physics

2007-2011, University of Toledo, PhD

Head Medical Physics 

ASLCN1

Health Physics

Graduate School

High School Diploma    Classics high school-leaving exam
University Degree          Physics 
Specialization                Medical Physic
Military Service              Fire Department
Voluntary Work             From 1991 to March 1994 – Civil Protection, Borgo   S. Dalmazzo Forest Firefighting Association

Order:A member of the Piedmont and Aosta Valley Order of Chemists and Physicists, Radiation Protection Expert III 

Associations: Associate of AIFM, part of the working groups on Lasers and NOIR (Not Only Ionization Radiation) and EFOMP  

Occupation:National Healthcare Manager

Job and position held: 
• From 2/avril/1993 to 28 feb 1998
Physicist in the Radiotherapy of the Santa Croce Hospital- Cuneo 
• From 1 march 1998 to 30 apr 2009
Prevention and Protection Service Manager/ Director and Radiation Protection Expert of the Local Health Company-Cuneo
• From 1 May 2009 to date
Manager of Medical Physics S.S. of Local Health Company Cuneo 1 (Company of the National Health Service)
Main responsibilities Dealing in a broad sense with radiation protection in its various interpretations regarding ionizing (radon included) and not ionizing radiations.
• Member of the technical agency for Cat. B IR practice clearance from 4/4/1998 to date.
• Member of the Supervisory Commission from December 1997 to date on behalf of Local Health Area - Cuneo.
• From 2009 to date Laser Safety Officer
• From 2019 Cooperation (as per Dossier 3/2014/A/14000) Piedmont Region in the drafting of guidelines with regard to home radiology  
• Member of the Technical Panel envisaged by Regional Decree n° 35-792 of 20 Dec 2019 regarding MRI. 
Didactic
• organisation providing education: University of Turin 
• From 2015 – to date
School: Specialization in Medical Physics
Teaching: Electromagnetic fields and non-ionizing radiation (FIS0060- FIS OO7)
• From 2013 – to date 
Department of Sciences of Public Health and Pediatrics
Teaching: Experimental statistics in the health sector (MED2888B-MED/01)

(Risk Assessment and Management of a 15watt 1470 nm vascular surgery laser) 
Valutazione dei Rischi e management di un laser per chirurgia vascolare da 15 watt a 1470 nm the Veins Magazine N°2 2019 pag 21-24 

From Medical Physics to Antropology https://www.fisicamedica.it/comment/785#comment-785
Blog NOIR AIFM2020

Photon Counting as a valuable technology for breast screening: low glandular doses and good image quality. M. Porzio – L. Gentile poster id 896 European Congress of Medical Physics Turin 2020-21

Fully automated water – equivalent diameter and SSDE computation for CT image in clinical workflow. M. Porzio – L. Gentile poster id 897 European Congress of Medical Physics Turin 2020-21

(Home-based Radiology Activities: Indications and Recommendations. Intersocial Document)
Attività di Radiologia Domiciliare: Indicazioni e Raccomandazioni . Documento Intersocietario SIRM-AIFM Bruno Accarino, Ottavio Davini, Luca Gentile et al 
ISBN: 979- 12- 80086-47-1 ISBN (e-book): 979- 12-80086-46-4

Professor

Kyushu University

Medical image analysis, Radiomics, Image-based medical AI

BS in 1989 and an MS in 1991 in electronics and information engineering
PhD in engineering from Kyoto Institute of Technology in 1996

Hidetaka Arimura received a BS in 1989 and an MS in 1991 in electronics and information engineering, and his PhD in engineering from Kyoto Institute of Technology in 1996. He used to work for Shimadzu Corporation from 1991 to 1996, Tokyo Women’s Medical University from 1996 to 1998, Hiroshima International University from 1998 to 2002, and the University of Chicago from 2002 to 2004. He is currently working as a professor in Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University. His research interests include imaging biopsy with radiomics in cancer diagnosis and treatment based on data science and the development of fundamental technologies for AI-aided high precision radiotherapy.

Group Leader

National Institute for Quantum Medical Sciences, QST

Charged-particle therapy, biological modeling, dose calculation

Received a Ph.D. from Tokyo Institute of Technology, Japan in 2006

• T. Inaniwa, N. Kanematsu, M.Shinoto, et al., “Adaptation of stochastic microdosimetric kinetic model to hypoxia for hypo-fractionated multi-ion therapy treatment planning,” Phys. Med. Biol. 66, 205007-1-16 (2021).
• T. Inaniwa, Y. Abe, M. Suzuki, et al., “Application of lung substitute material as ripple filter for multi-ion therapy with helium-, carbon-, oxygen-, and neon-ion beams,” Phys. Med. Biol. 66, 055002-1-10 (2021).
• T. Inaniwa, M. Suzuki, S. H. Lee, et al., “Experimental validation of stochastic microdosimetric kinetic model for multi-ion therapy treatment planning with helium-, carbon-, oxygen-, and neon-ion beams,” Phys. Med. Biol. 65, 045005-1-11 (2020).
• T. Inaniwa, S. H. Lee, K. Mizushima, et al., “Nuclear-interaction correction for patient dose calculations in treatment planning of helium-, carbon-, oxygen-, and neon-ion beams,” Phys. Med. Biol. 65, 025004-1-12 (2020).
  T. Inaniwa, “Advancement of microdosimetric kinetic model in heavy-ion therapy,” Journal of Physics 1662, 012022-1-5 (2020).

Taku Inaniwa, Ph.D, is a group leader of treatment beam research group at the Institute for Quantum Medical Science, National Institutes for Quantum and Radiological Science and Technology (QST) in Japan. His research focuses on developing dose calculation algorithms and biological models used for charged-particle therapy treatment planning.  He has contributed more than 100 peer reviewed publications. Three of his first author publications have been selected as Highlights from Physics in Medicine and Biology. He is a member of international scientific advisory board of the journal. For his works, he has received several national and international awards.

Assistant Professor

University of Utah

Therapeutic Radiology

Ph.D.

1.    Su FC, Paxton A, St. James S, Li X, Price R, Salter B, Sarkar V (2022)
A Workflow to Accurately Delineate Implanted hardware in Proton Planning. Med. Phys. 49(6): 4206
2.    Su FC, Li X, Zhao H, Bhagroo S, Rassiah P, Salter B, Sarkar V (2022)
Initial Assessments of Delta4 TPV, a Monte Carlo-Based Second Check Software. Med. Phys. 49(6): 4208
3.  Li X, Su FC, Sarkar V, Zhao H, Ibanez S, Kunz JN, Nelson G, Huang Y J (2022).  Impact of detector selection on commissioning of Leipzig surface applicators with improving immobilization in high-dose-rate brachytherapy. Brachytherapy, 21(4):511-519.
4.  Kraus RD, Weil CR, Su FC, Cannon DM, Burt LM, Mendez JS (2022).  Incidence and Extent of Disease Progression on MRI between Surgery and Initiation of Radiotherapy in Glioblastoma Patients. Neuro-Oncol. Pract., In Press.
5.  Li X, Huang YJ, Rahimi R, Zhao H, Kunz JN, Sunneja G, Su FC (2022).  A novel approach for Venezia ovoid commissioning with a comprehensive analysis of source positions in high-dose-rate brachytherapy. Brachytherapy, In revision.

Frances Su, Ph.D., is an Assistant Professor in the Department of Radiation Oncology at the University of Utah Hunstman Cancer Institute with over thirteen years of experience as a clinical physicist. With a focus on management of treatment planning systems (TPS) and brachytherapy, Dr. Su has made significant contributions to her field in radiation therapy.
Graduating from Chang Gung University with a B.S. degree in Radiological Sciences, she continued her education at National Tsinghua University where she received her M.S. in Atomic Sciences (focused on Medical Physics). She then pursued her Ph.D. in Therapeutic Medical Physics at the University of Texas Health Science Center at San Antonio - making her an internationally recognized expert in the field of therapeutic medical physics. 
Dr. Su has held faculty positions at Yale University School of Medicine and the University of Utah, where she currently leads the department's HDR brachytherapy program. Her research interests are in the area of developing and implementing new technology for TPS management and brachytherapy, as well as investigating optimal workflows to streamline clinical processes and improve efficiency - resulting in numerous publications on these topics. 
As an accomplished medical physicist, Dr. Su is dedicated to providing quality radiation treatments to her patients and expanding access to innovative cancer therapies. She is also a member of the proton physics team for the Orrin G. Hatch proton center, which is the first and only one in the Mountain West area to provide proton treatment services for patients, particularly those with pediatric cancer. Dr. Su also focuses on teaching medical physics to M.D.- and Ph.D.-level residents at University of Utah School of Medicine. She is also a mentor for TPS management for the department's physics residency program.

Chief Medical Physicist

Evercare Hospital Chattogram

Radiation Oncology Physics

Doctorate

Dr Md Akhtaruzzaman (Akhtar) has completed his graduation in Medical Physics in 2009 from the Department of Medical Physics & Biomedical Engineering of Gono Bishwabidyalay (University), Dhaka, Bangladesh. In the same year, he got the opportunity to start his professional career as a faculty member at the same university for his academic excellence.
Dr Akhtaruzzaman is currently working as a Chief Medical Physicist at the Evercare Hospital Chattogram, Bangladesh. In the meantime, he has awarded Doctor of Philosophy (PhD) in medical physics (2015-2019) from the Maria-Sklodowska Curie National Research Institute of Oncology, Warsaw, Poland. He also has served the Maria-Sklodowska Curie National Research Institute of Oncology as a Medical Physics Specialist from February 2016 to August 2018.
He has attended a considerable number of national and international conferences/seminars and delivered oral and poster presentations. He has published his research works in national and international journals.
Moreover, more than 10 projects/thesis have been supervised by him. He is also a member of the Science Committee of Asia-Oceania Federation of Organizations for Medical Physics (AFOMP).
Medical physics education, quality radiotherapy treatment and better radiological diagnosis are still in a developing phase in Bangladesh. To uplift the situation incessantly, Bangladesh Medical Physics Society (BMPS) is working hard for a more effective medical physicist community. Dr Akhtaruzzaman currently, is serving BMPS as President.

Department Manager (Medical Physicist)

Clinical Oncology Department, Queen Elizabeth Hospital, Hong Kong

Radiotherapy Physics, Health Physics

PhD

Dr. Francis Lee received his PhD in Medical Imaging in the Chinese University of Hong Kong. He joined the Queen Elizabeth Hospital and completed resident physicist training in 2007. In 2011, he received the professional qualification as Certified Medical Physicist in Radiotherapy Physics from HKAMP and ABR. In 2017, he received the certification in Health Physics from ABMP. He is the author / co-author of 25 articles in peer-review journal and 30 abstracts in international conferences.
Dr. Lee is now the Department Manager of the Medical Physics Division in Queen Elizabeth Hospital, Hong Kong. He is the journal reviewer for the Hong Kong College of Radiology, and abstract reviewer for the ‘ESTRO meets Asia’ in 2018 & 2019. He is the adjunct assistant professor in the University of Hong Kong and the City University of Hong Kong. Dr. Lee has also served as the chairperson for the Examination Committee of HKAMP from 2015-2021, and as board committee member in the International Medical Physics Certification Board since 2020.

PRESIDENT AFOMP
SWASTHYA KALYAN GROUP

Dr. Arun Chougule is the  Dean & Chief Academic Officer at Swasthya Kalyan Group of Institutes, Jaipur and Ex. Senior Professor and Head of Department of Radiological Physics, SMS Medical College & Hospitals, Jaipur, Ex. Pro Vice Chancellor, Rajasthan University of Health Sciences and Dean Faculty of Paramedical Science, Jaipur India. He has 37 years of professional and teaching experience in medical physics. He is considered as one of the pioneers in radiation experiment dosimetry and radiobiology in India. He has been on many significant positions and member to countless committee and organizations. He is the past President of Association of Medical Physicist of India (AMPI) and currently he is President of Asia-Oceania Federation of Organization for Medical Physics (AFOMP) and Chair of education and training committee of International Organization of Medical Physics (IOMP), Chairman IOMP Accreditation Board. He is member of Board of Directors of International Medical Physics Certification Board [IMPCB]. He has more than 120 publications in national and international journals and presented more than 350 papers in national and international conferences. He has been authoring to two books. His research interest includes radiation biology, experimental dosimetry in teletherapy, radiation safety and protection in radiology and radiotherapy, QA-QC in Radiology.

He has served as an expert to IAEA and has been regular associate to ICTP for 8 years. He has done a significant work for radiation safety Training programs of VLIR, Belgium, for many years as key resource person. He has been awarded with numerous fellowships and awards mainly IOMP-IDMP 2016 for contribution of Medical Physics, AFOMP Member Excellent Presentation Awards, Outstanding Faculty award 2019 SMS Medical College, Govt. of Rajasthan, Dr. Farukh Abdulla Sher – e- Kashmir best researcher award for 2011-12. Recently he has been awarded as AFOMP outstanding medical physicists 2020 for his contribution to Medical Physics education, research, and professional development. His contribution to health sciences and awarded prestigious fellow National Academy of Medical Sciences- FAMS in 2020. He has been awarded Fellow of IOMP- FIOMP in 2021. Prestigious Prof L.S. Ramaswamy Oration award 2022.

He is associated with over 27 national and international scientific organizations, Associate editor of 4 international journals and editorial board member of many journals. He is associate with many NGO’s working in the field of cancer awareness. He is very widely travelled across the world.

ASST.PROFESSOR, RADIATION ONCOLOGY (MEDICAL PHYSICS)

ALL INDIA INSTITUTE OF MEDICAL SCIENCES, NEW DELHI

RADIATION ONCOLOGY MEDICAL PHYSICS

PhD in RADIATION ONCOLOGY

6 Papers as Co-authors and 8 Scientific presentations

Dr.Subramani Vellaiyan currently working as Assistant Professor of Radiation Oncology Medical Physics and heading the Medical Physics in the Department of Radiation Oncology at All India Institute of Medical Sciences (AIIMS), New Delhi, India. He has experience in the field of Radiation Oncology Medical Physics for more than 25 years. He completed the PhD in 2006. He had undergone two months practical training on IMRT at McGill University, Canada in 2002. He has been involving in the Medical Physics Education and Training to M.D Radiation Oncology program for the last 25 years at AIIMS New Delhi. 
Dr.Subramani, as a chief-supervisor, successfully guided six students for PhD Program in Medical Physics of Bharathiar University, Coimbatore, Tamilnadu. In 2018, he had organized, first-ever 2 days national symposium on “High-Precision Radiation Oncology: Quality and Safety Perspective” at AIIMS, New Delhi. He has been involving in the establishment of Radiation Oncology facility at AIIMS-National Cancer Institute, India and mentoring Clinical Medical Physicists in the same institute, since 2015. He has been involved in setting-up of several newer Radiation Oncology facilities as an technical expert in various government organizations in India.
He had delivered more than 60 invited guest lectures on advanced Radiation Oncology Medical Physics aspects, chaired several scientific sessions and participated in several debates and panel discussions in the national and international professional organization's annual and periodic scientific meetings. He made scientific contribution as author/co-author in around 50 scientific publications.  
He was honoured to hold the position as a national Secretary of Association of Medical Physicists of India (AMPI) from 2015-2018 and also now holding the same position as national Secretary of AMPI for the year 2021-2024. Since 2015, he has been serving as Member in the Science Committee of International Organization for Medical Physics (IOMP). Also, he has been serving as an Editor, Newsletter of Asia-Oceania Federations of Organization for Medical Physics (AFOMP) since June 2019.

President

Japan Society of Medical Physics

Particle Therapy

Ph. D (Osaka University)

Name: Shigekazu Fukuda
DOB: May/07/1965

Position
Section Manager of Quality Control Section
QST Hospital, Quantum Medical Science Directorate
National Institutes for Quantum Science and Technology (QST)
4-9-1, Anagawa, Inage-ku, Chiba-shi 263-8555, Japan
e-mail fukuda.shigekazu@qst.go.jp

EDUCATION
1994 Doctor of Philosophy 
Physics Graduate School of Science, Osaka University, Osaka, Japan
1991 Master of Engineering 
M.S Physics Graduate School of Science, Osaka University, Osaka, Japan 
1989  Bachelor of Engineering 
Physics School of Science, Osaka University, Osaka, Japan

POSITIONS AND EMPLOYMENT
2019/Apr-present    Section Manager of Quality Control Section, QST Hospital, National Institutes for Quantum and Radiological Science and Technology (QST)
2017/Apr-2019/Mar   Section Manager of Quality Control Section
Clinical Research Cluster, National Institute of Radiological Sciences (NIRS)
National Institutes for Quantum and Radiological Science and Technology (QST)
2016/Apr-2017/Mar   Deputy Section Manager of Quality Control Section
Clinical Research Cluster, National Institute of Radiological Sciences (NIRS)
National Institutes for Quantum and Radiological Science and Technology (QST)
2009/Jan-2016/Mar   Head of Heavy Particle Faculty Section 
Dept. of Accelerator and Medical Physics, Research Center for Charged Particle Therapy, National Institute of Radiological Sciences (NIRS)
1997/Apr-2008/Dec    Senior Researcher of Particle Therapy Division
The Wakasa-wan Energy Research Center (WERC)
1994/Apr-1997/Mar    Doctoral Research Fellow of Linac Accelerator Laboratory
RIKEN

OTHER PROFESSIONAL AFFLIATION
Medical physicist certified by Japanese Board for Medical Physicist Qualification

TEACHING EXPERIENCE
Teaching, Radiological physics, Chiba University, 2011-present
Teaching, Advanced Radiotherapy, Komazawa University, 2014-present
Organization and Moderation of Medical Physics course, QST/NIRS,  2011-present

PROFESSIONAL MEMBERSHIP
JSMP, President, 2020-present
JSMP, Executive Board Member, 2012-2018, 2020-present
JSMP, Chair of International Affairs Committee, 2010-2014, 2016-2018
JBMP, Executive Board Member, 2012-present
IOMP, Member of Professional Relations Committee (PRC), 2012-present
AFOMP, Member of Professional Development Committee (PDC), 2012-2018
AFOMP, Chair of Education & Training Committee (ETC), 2015-2018

Professor

University of Ulsan College of Medicine

Radiotherapy physics

1995, PhD, Physics, Yonsei University, Korea

1)    H Lee et al,  Fluence-map generation for prostate intensity-modulated radiotherapy planning using a deep-neural-network, Scientific Reports,  (2019) 9:15671
2)    H Kim et al,  Abdominal multi-organ autosegmentation using 3D-patchbased deep convolutional neural network,  Scientific Reports, (2020) 10:6204
3)    S Kim et al, Clinical implementation of a widefeld electron arc technique with a scatterer for widespread Kaposi’s sarcoma in the distal extremities,  Scientific Reports, (2020) 10:9693
4)    H Lee et al,  On-beam computed tomography reconstruction for radiotherapy verification from projection image differences caused by motion during treatment,  Phys Med Biol 65 (2020) 055001
5)    P Keall et al,  AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy, Med Phy, (2021) e44

Dr. Cho received his PhD in Physics from Yonsei University in 1995 and then began to work as a radiation oncology physicist for Hallym Sacred Heart Hospital and associate professor in Hallym University College of Medicine. 
He worked as a visiting scholar at Stanford University during 2007-2010, and received the John S. Laughlin Science Council Research Symposium Award in AAPM 2009 Annual Meeting. He currently works as a senior medical physicist at Asan Medical Center and Professor of University of Ulsan College of Medicine. He served as President of the Korean Society of Medical Physics for 2020-2021. He is certified by the Korean Board of Medical Physic in Radiotherapy Physics and his major research interests include IMRT QA, motion management, IGRT. He was a member of AAMP Task Group 264: Safe Clinical Implementation - of MLC Tracking in Radiotherapy. He holds over 10 research grants and has more than 60 publications.

Professor in Medical Radiation

University of South Australia, Adelaide, Australia

Radiation Oncology Medical Physics, Radiation Biology

MSC Nuclear Physics (Comenius University, 1988), MSc Medical Physics (University of Adelaide, 1994), PhD Nuclear Physics (Australian National University, 1998)

Professor Bezak is internationally recognised for her work in cancer radiation biology, Monte Carlo modelling of radiation damage, novel microdosimetry techniques for targeted radio-immunotherapies for cancer, medical physics education and others. She has been awarded several national and international awards for her research work and international services to medical physics.  Her expertise includes tumour and radiotherapy modelling and radiation track simulations, normal tissue complications, risk of second primary cancers modelling and has published extensively in this area.  Throughout her 22 year career, she held numerous leadership positions, including Director, Medical Physics, RAH (2007); Professor in Medical Radiation, UniSA (2015), Director; Translational Cancer Research Centre, Cancer Research Institute UniSA (2018), Professorial Lead UniSA (2020) and Secretary General and now Vice-President of the International Organization for Medical Physics and others. She was CI/PI on competitive research grants awarded a total of ~$3 million. She was a member of industry teams awarded (through competitive tenders) multimillion dollar federal funding (~$55 mill) to establish radiation oncology/cancer centres. She is a senior author of ~180 refereed publications, 3 books and ~280 conference presentations (50 invited/keynote). To date, she supervised 5 postdoctoral fellows, 27 PhD students, 13 MSc students, over 10 Honours students. As professorial lead she supervises and mentors ~15 level A-D academics. She was a co-author of the Australian Academy of Science report on future accelerators in Australia. She has strong relationships with the health sector nationally (e.g. working on rapid cancer reviews for Australian state governments), manufacturers and consumers/Cancer Voices and NASA. Additionally, she was a member of the National Radiation Oncology Tripartite Committee that developed quality and performance standards for Radiation Oncology in Australia. She is a co-author of the Australian Tripartite National Plan for Radiation Oncology 2012-2022.

Secretary General

IUPESM

Medical Physics

•      1995-2000: MSc in Computer Science and Medical Equipment

•      1999-2000: MSc in Medical Radiation Physics (IPEM recognized)

•      2002-2006: PhD in Diagnostic Radiology

•      2006: Medical Physics College, ICTP.

• Tabakov, S., Milano, F., Stoeva, M.,  et. al. Encyclopaedia of Medical Physics, CRC Press, London, 2nd Edition, 2021, CRC Press, Taylor & Francis Group, ISBN 9780367693756
• Nk, K., Stoeva, M., Medical Physics During the COVID-19 Pandemic - Global Perspectives in Clinical Practice, Education and Research, 2021, CRC Press, Taylor & Francis Group, ISBN 9781138592148
• Frize, M., Lhotska, L., Marcu, L.G., Stoeva, M. et. al. (2021), The impact of COVID-19 pandemic on gender-related work from home in STEM fields—Report of the WiMPBME Task Group. Gender Work Organ. https://doi.org/10.1111/gwao.12690
• Barabino, G., Frize, M., Ibrahim, F. et al. Solutions to Gender Balance in STEM Fields Through Support, Training, Education and Mentoring: Report of the International Women in Medical Physics and Biomedical Engineering Task Group. Sci Eng Ethics 26, 275–292 (2020).
• Bezak, E.; Carson-Chahhoud, K.V.; Marcu, L.G.; Stoeva, M. at al. The Biggest Challenges Resulting from the COVID-19 Pandemic on Gender-Related Work from Home in Biomedical Fields—World-Wide Qualitative Survey Analysis. Int. J. Environ. Res. Public Health 2022, 19, 3109. https://doi.org/10.3390/ijerph19053109
• Tabakov, S., Stoeva, M. Collaborative networking and support for medical physics development in low and middle income (LMI) countries. Health Technol. 11, 963–969 (2021). https://doi.org/10.1007/s12553-021-00591-1

PRESIDENT AFOMP
SWASTHYA KALYAN GROUP

Dr. Arun Chougule is the Dean & Chief Academic Officer at Swasthya Kalyan Group of Institutes, Jaipur and Ex. Senior Professor and Head of Department of Radiological Physics, SMS Medical College & Hospitals, Jaipur, Ex. Pro Vice Chancellor, Rajasthan University of Health Sciences and Dean Faculty of Paramedical Science, Jaipur India. He has 37 years of professional and teaching experience in medical physics. He is considered as one of the pioneers in radiation experiment dosimetry and radiobiology in India. He has been on many significant positions and member to countless committee and organizations. He is the past President of Association of Medical Physicist of India (AMPI) and currently he is President of Asia-Oceania Federation of Organization for Medical Physics (AFOMP) and Chair of education and training committee of International Organization of Medical Physics (IOMP), Chairman IOMP Accreditation Board. He is member of Board of Directors of International Medical Physics Certification Board [IMPCB]. He has more than 120 publications in national and international journals and presented more than 350 papers in national and international conferences. He has been authoring to two books. His research interest includes radiation biology, experimental dosimetry in teletherapy, radiation safety and protection in radiology and radiotherapy, QA-QC in Radiology.
He has served as an expert to IAEA and has been regular associate to ICTP for 8 years. He has done a significant work for radiation safety Training programs of VLIR, Belgium, for many years as key resource person. He has been awarded with numerous fellowships and awards mainly IOMP-IDMP 2016 for contribution of Medical Physics, AFOMP Member Excellent Presentation Awards, Outstanding Faculty award 2019 SMS Medical College, Govt. of Rajasthan, Dr. Farukh Abdulla Sher – e- Kashmir best researcher award for 2011-12. Recently he has been awarded as AFOMP outstanding medical physicists 2020 for his contribution to Medical Physics education, research, and professional development. His contribution to health sciences and awarded prestigious fellow National Academy of Medical Sciences- FAMS in 2020. He has been awarded Fellow of IOMP- FIOMP in 2021. Prestigious Prof L.S. Ramaswamy Oration award 2022.
He is associated with over 27 national and international scientific organizations, Associate editor of 4 international journals and editorial board member of many journals. He is associate with many NGO’s working in the field of cancer awareness. He is very widely travelled across the world. 

Professor

Institute for Integrated Radiation and Nuclear Science, Kyoto University

Medical Physics

March 2004, Doctor of Engineering, Ph.D., Kyushu University, Department of Applied Quantum Physics and Nuclear Engineering, Fukuoka Japan

1. N. Hu, H. Tanaka, et al., Radiat. Oncol., 24;16(1):243,2021
2. A. Sasaki, H. Tanaka*, et al.,Biomed. Phys. Eng. Express,8, 015015,2021
3. K. Okazaki, H. Tanaka*, et al., Nucl. Instrum. Methods. Phys. Res. B,992,  165026, 2021
4. N. Hu , H. Tanaka, et al., Phys. Med. ,82, 17-24,2021
5. N. Matsubayashi, H. Tanaka*, et al., Radiat. Meas. , 140, 106489, 2021

Hiroki Tanaka is a professor in the Department of Particle Radiation Medical Physics at the Institute for Integrated Radiation and Nuclear Science, Kyoto University. He is involved in research on the medical physics of accelerator-based boron neutron capture therapy (BNCT). He succeeded in developing the world's first accelerator-based BNCT system and was awarded the 2021 Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology in Japan.

Department of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia

Professor Dr. Kwan Hoong Ng was born on 13 February 1954, and raised in Kuala Lumpur. Following secondary education at the Methodist Boys School, he pursued his tertiary education in Physics in Universiti Malaya (UM) in 1978. He went on to receive his M.Sc. (Medical Physics) from the University of Aberdeen and Ph.D. (Medical Physics) from the Department of Pathology, UM (1995). He is certified by the American Board of Medical Physics (1999), and a fellow of the Institute of Physics (UK and Malaysia), the International Organization for Medical Physics (IOMP), and the Academy of Sciences Malaysia. He was also admitted into the Academy of Medicine, Malaysia

Professor Ng’s contributions are highly regarded in the areas of breast imaging, radiological protection, radiation dosimetry, medical physics education, and risk communication. He also continues to pursue new discoveries with international research collaborators on breast density, image processing, and radiation dosimetry. His body of work has enabled the early detection and risk management of breast cancer for millions around the world.

Professor Ng is currently Honorary Professor at the Department of Biomedical Imaging, UM. He started his career at UM as a scientific officer in 1985, and later as a lecturer (1990) rising in rank to professor (2001). He was a visiting scholar at the University of Wisconsin, Madison, USA during 1995-1997. Upon returning to UM, he established UM’s Master of Medical Physics programme in 1998, being the only post-graduate medical physics academic programme outside the UK and Ireland which is accredited by the UK Institute of Physics and Engineering in Medicine. It has since produced over 120 graduates. He has also been actively contributing to the education of radiologists, clinical oncologists, biomedical engineers and allied health professionals. 

Professor Ng has held visiting professorship at Jinan University, China; Chang Gung University and Kaoshiung Medical University, Taiwan; Chulalongkorn University, Thailand;  University of Newcastle and University of Sydney, Australia; and University of Sao Paolo, Brazil. 

He served as chairman of the IOMP international advisory board (2003-2006); and chairman of its publication committee. In recognition of his dedication and contribution in the education and training of medical physicists and health personnel, as well as the advancement of the profession, Prof Ng was honoured as one of the top 50 medical physicists in the world by the IOMP in 2013. 

A multidisciplinary expert, Professor Ng also served as a consultant on the International Atomic Energy Agency (IAEA) since 1993. As part of the expert mission, he has delivered conference lectures, drafted and reviewed codes, guidelines, and reports with notable contributions, including to these: “Diagnostic Radiology Physics - A Handbook for Teachers and Students”; “Clinical Training of Clinical Medical Physicists Specializing in Diagnostic Radiology”; and the “The Fukushima Daiichi Accident”. Between 2014 and 2017, Professor Ng established the ASEAN College of Medical Physics (ACOMP) and the South East Asian Federation of Organizations of Medical Physicists (SEAFOMP), and co-founded the Asia-Oceania Federation of Organizations of Medical Physicists (AFOMP). 

His extensive and pioneering research on breast cancer imaging, education initiatives and leadership won him the world's highest rank and most prestigious award in medical physics - the  Marie Sklodowska-Curie Award in 2018. He is currently the first and only Asian and one of only 8 persons worldwide to have been conferred this highly coveted accolade since 2000, as recognised by IOMP which represents 25,000 of the world’s leading medical physicists.  

He was a member of the international advisory committee on electromagnetic frequency (EMF) of the World Health Organization in 2005. He has also served as a consulting expert for the International Commission on Non-Ionizing Radiation Protection (ICNIRP) in 2008.  He was conferred the inaugural International Union for Physical and Engineering Sciences in Medicine (IUPESM) Fellowship by IOMP in 2020.

In recognition of his unparalleled work as a medical physics pioneer whose research in radiation medicine has contributed significantly to the fight against breast cancer globally, Professor Ng was awarded the prestigious Merdeka Award for Outstanding Scholastic Achievement in 2020. 

As further testament to his significant work, Professor Ng was elected as a fellow of The World Academy of Sciences (TWAS). Here, Professor Ng will uphold TWAS’ shared belief that developing nations can collectively address challenges such as hunger, disease and poverty by building strength in science and engineering, while supporting sustainable prosperity through research, education, policy, and diplomacy. 

Professor Ng has authored and co-authored over 300 papers in international peer-review journals, 80 conference proceedings papers, 25 book chapters and has co-edited 12 books.  He is in the editorial and advisory board of more than 12 journals. His most recent book, "Medical Physics during the COVID-19 Pandemic," which features over 90 authors from over 40 countries, was published in 2021.  An accomplished speaker, Professor Ng has presented over 600 scientific papers, more than 350 of them being invited lectures. 

Professor Ng is married to Madam Sia Leng Suan, and they are blessed with two children and three lovely grandchildren.

He enjoys classical music, in particular the works of Beethoven and Tchaikovsky, and devotes his time to charity and humanitarian works when he isn’t strolling in the local parks, or in the library burrowing in intriguing books.

Professor Ng remains committed to scientific research and education. He continues to channel his expertise for the benefit of UM, advancing the love for science especially amongst underprivileged communities, and raising the prestige of Malaysian scientists in the international arena. In particular, through the International Leadership and Mentoring Programme that nurtures early-career medical physicists, especially from developing countries into inspiring leaders of their field. 

His life motto takes on that of Saint Augustine: “Humility, gratitude and charity.  Humility is the foundation of all the other virtues.”

Medical Physicist

Proton Therapy Pte. Ltd., Singapore Institute of Advanced Medicine, Singapore

Radiation Therapy Physics

Ph.D.  •  Med. Sc.  •  MMed.Phys.

1.    Wei Yang Calvin Koh, Hong Qi Tan, Yan Yee Ng, Yen Hwa Lin, Khong Wei Ang, Wen Siang Lew, James Cheow Lei Lee, Sung Yong Park. Quantifying systematic RBE-weighted dose uncertainty arising from multiple variable RBE models in organ-at-risk. Advances in Radiation Oncology, Articles in Press. (ISI indexed)
2.    Yen Hwa Lin, Hong Qi Tan, Jun Hao Phua, Lloyd Kuan Rui Tan, Zubin Master, Khong Wei Ang, James Cheow Lei Lee, Sung Yong Park. The accuracy of different dose calculation algorithms for pencil beam with range shifter in heterogeneous medium interface. International Journal of Particle Therapy. Spring; 7(4):74-199 (ISI indexed)
3.    Aik Hao Ng, Ana Carolina Albernaz Sirico, Alejandro Henyer Lopez Gonzales, Anh Tung Hoang, Do Duc Chi, Heru Prasetio, I B Uwadiae, Josilene Cerqueira Santos, Koeurn Chhoeurt, Leya A Thomas, Louise Giansante, Luiza F Goulart, L J Rojas , Lukmanda Evan Lubis, Mei Yu Yeh, Nhu Tuyen Pham, P M Trejo-Garcia, Samuel C S Cheng, Dang Quoc Soai, T Sanghangthum Vannyat Ath, V H Guerra, Yen Hwa Lin, Eva Bezak, Robert Jeraj, Tomas Kron, Kwan Hoong Ng. Nurturing a global initiative in medical physics leadership and mentoring. Medical Physics International Journal, Volume 8, 467–474. (non-ISI indexed)
4.    Josilene Cerqueira Santos, Luiza F Goulart, Louise Giansante, Yen Hwa Lin, Ana Carolina Albernaz Sirico, Aik Hao Ng, Virginia Tsapaki, Eva Bezak, Kwan Hoong Ng. Leadership and mentoring in medical physics: The experience of a medical physics international mentoring program. Physica Medica: European Journal of Medical Physics, Volume 76, 337–344. (ISI indexed)
5.    Yen Hwa Lin, Hong Qi Tan, Lloyd Kuan Rui Tan, Khong Wei Ang, James Cheow Lei Lee, Sung Yong Park. Dosimetric evaluation of range shifter designs based on beam data generated from GEANT4 code. International Journal of Particle Therapy. Spring; 6(4):45-491 (ISI indexed)

Yen Hwa is a physicist in field of radiation therapy. She received her PhD from Hiroshima University in 2017. Her research interests are focused on improving the efficiency and accuracy of the radiotherapy treatment planning and delivery process. She is one of the pioneer mentees from the group of Medical Physics: Leadership and Mentoring Programme led by Professor Kwan Hoong NG (University of Malaya, Malaysia) since 2016.

Chairman, Southport co. Ltd.

B.S., Computer science, National Chiao Tung University, Taiwan

M.S., Electrophysics, National Chiao Tung University, Taiwan

Mr. I-Jan Chen is the Co-founder and the Chairman of Southport co. Ltd. After getting his bachelor's degree in computer science at National Chiao Tung University, he changed his interest to physics. In the first year of the graduate school of Electro-physics in NCTU, he published a series of experimental work on spintronics and nano-magnetism in nanowire and quantum dot. A new theoretical model, which included the quantum confinement effect into mean-field theory, to describe the giant internal magnetic field in magnetic atom doped quantum dot was established and proved by experiment in his research. After receiving his master's degree and finishing the military service, Mr. Chen built up the world's first Radio-frequency Scanning tunneling microscope during the research assistant work in the Center of Condensed Matter Sciences at National Taiwan University.
His interdisciplinary experience and observation of future technology trends led him to start up the Southport Co. Ltd. with other 3 co-founders in Sep. 2014. The spirit and specialty of Southport are to use the cross-disciplinary knowledge, including optics, material science, and biomedical science, with the new electro-optic technology of digital optics, also known as software-defined optics, to identify and solve the problems in microscopic imaging in different fields of applications. In the last seven years, Southport has accomplished in-vivo high-speed imaging, in-vivo neuroimaging, super-resolution imaging, nanomaterial inspection, quantum light source, compound semiconductor inspection, and 3D microstructure imaging. In 2021, The first software-defined microscope, named Fourier microscope, has been announced by Southport. This is the first time an all-in-one optical microscope can communicate with the digital world, including AI, or other software technologies.

• 2008 Excellent Thesis Award for Graduate Students of the Physical Society of the Republic of China (Taiwan)
• 2010 Outstanding Soldier Medal of the National Army of the ROC.
• 44th Silver Medal of National Army Literature and Art Award
• 2013 FITI Innovation and Entrepreneurship Incentive Competition, Entrepreneurial Excellence Award
• 2020 Golden Peak Award of Innovative Research and development of The Year
• 2020 Golden Peak Award of Enterprise Initiators of The Year
• 28^th Taiwan Small and Medium Enterprises Innovation Award

"Radio Frequency Reflectometry Scanning Tunneling Microscope" US (US88663311), Taiwan, German, and China patents granted

 "Radio-frequency reflectometry scanning tunneling microscope " US 9304146

 "Size Effects on Thermal Treatment and Room-Temperature Ferromagnetism in High-Vacuum Annealed ZnCoO Nanowires", J. Phys. Chem. C 112, 9168 (2008)

  "Cross-Sectional Shape Modulation of Physical Properties in ZnO and Zn1-xCoxO Nanowires", New J. Phys.10, 033017 (2008)

  “Size-dependent magnetization and high-vacuum annealing enhanced ferromagnetism in Zn1-xCoxO nanowires”, J. Nanosci. Nanotechnol. 8, 202 (2008)

 “Effects of heat treatment of selective laser melting printed ti-6al-4v specimens on surface texture parameters and cell attachment” Applied Sciences (Switzerland). March 2021, 11, 5, p. 1-14 14 p., 2234.

Associate Principal Investigator and Director of Laboratory Animal Center

Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes

Analytical Chemistry, Biomedical Imaging

Ph.D., Department of Chemistry, National Tsing Hua University (2004)
M.Sc., Department of Nuclear Science, National Tsing Hua University (1998)
B.Sc., Department of Chemistry, National Tsing Hua University (1996)

1.    Qiu, S.B. et al. Protection-Free Strategy for the Synthesis of Boro-Depsipeptides in Aqueous Media under Microwave-Assisted Conditions. Molecules 27 (2022). doi: 10.3390/molecules27072325
2.    Chen, Y.C. et al. The nephrotoxic potential of polystyrene microplastics at realistic environmental concentrations. Journal of Hazardous Materials 427, 127871 (2022). doi: 10.1016/j.jhazmat.2021.127871
3.    Chen, Y.W. et al. Salvage boron neutron capture therapy for malignant brain tumor patients in compliance with emergency and compassionate use: evaluation of 34 cases in Taiwan. Biology (Basel) 10 (2021). doi: 10.3390/biology10040334
4.    Liang, S.K. et al. FOXM1 is required for small cell lung cancer tumorigenesis and associated with poor clinical prognosis. Oncogene 40, 4847-4858 (2021). doi: 10.1038/s41388-021-01895-2
5.    Huang, L.C.S. et al. Boron-rich, cytocompatible block copolymer nanoparticles by polymerization-induced self-assembly. Polymer Chemistry 12, 50-56 (2021). doi: 10.1039/d0py00710b

Jen-Kun Chen is a multidisciplinary trained scientist with expertise in analytical chemistry, biomedical imaging and nanomedicine. Dr. Chen’s lab is interested in the delivery of particles/drugs through inhalation or intranasal administration. He has established research platforms to evaluate nanotoxicity using in vitro (cell-based) and animal-based methodology. To observe biological responses in animals, Dr. Chen involves research in molecular imaging technology, for example, SPECT/CT imaging to evaluate acute lung injury (ALI) and CT imaging for lung cancer animal models. Importantly, Dr. Chen’s lab is capable of using analytical technology (ICP-MS, LC-MS) and imaging technology (PET and IVIS) to explore the pharmacokinetics and biodistribution of small molecules, peptides, proteins and antibodies in laboratory animals. In recent years, Dr. Chen establish an analytical method to investigate the excretion of boronophenylalanine (BPA) in patients treated by boron neutron capture therapy (BNCT).

1.    Attending Physician, Division of Radiotherapy, Department of Oncology, Taipei Veterans General Hospital 
2.    Councilor of Taiwan Society for Therapeutic Radiology and Oncology 
3.    Assistant Professor, Faculty of Medicine, National Yang Ming Chao Tung University. 
4.    Clinical Associate Professor, Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology

1.    Department of Oncology, Taipei Veterans General Hospital 
2.    Faculty of Medicine, National Yang Ming Chao Tung University. 
3.    Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology
4.    Taiwan Society for Therapeutic Radiology and Oncology 

1.    Radiation Oncology (Radiobiology). 
2.    High Radiobiological Effectiveness Radiotherapy ( Boron Neutron Capture Therapy)

Dr. Yi-Wei Chen graduated from Institute of Clinical Medicine, National Yang-Ming Chao Tung University and got his PhD degree in 2012. He also worked as an attending physician in Department of Oncology, Taipei Veterans General Hospital. His clinical work is to use radiotherapy for cancer patients, including brain tumor (Both adults and children), head and neck cancers, chest cancers (Lung cancer, esophageal cancer and some thymic tumors). Recently since 2017, Dr. Chen started to use BNCT (Boron Neutron Capture Therapy) for some clinical terminal stage cancer patients, including recurrent malignant brain tumor and recurrent head and neck cancers, by compassionate application. His clinical BNCT experience is outstanding and become an expert in this field.  

Professor

Nuclear Science and Technology Development Center, National Tsing Hua University, Taiwan

Research on BNCT                                    
The new Boron drug development. 
The pharmacokinetics and radiobiological effects of BNCT.

Graduate training as a Radiobiologist at Institute of Radiation Biology in 1985 and PhD at Institute of Life Science, National Tsing Hua University, Taiwan, in 1990.

1.    Chen Y. W., Y. Y. Lee, and C. F. Lin, et al., Compassionate Treatment of Brainstem Tumors with Boron Neutron Capture Therapy: A Case Series. Life, 2022, 12: 566. 
2. Chen Y. W., Y. Y. Lee, and C. F. Lin, et al., Salvage Boron Neutron Capture Therapy for Malignant Brain Tumor Patients in Compliance with Emergency and Compassionate Use: Evaluation of 34 Cases in Taiwan. Biology, 2021, 10(4): 334.
3. Lin Y. C., F. I. Chou, J. W. Lia, et al., The Effect of Low-Dose Gamma Irradiation on the Uptake of Boronophenylalanine to Enhance the Efficacy of Boron Neutron Capture Therapy in an Orthotopic Oral Cancer Model. Radiation Research, 2021, 195(4) :347-354. Corresponding author.
4. Chen K. H., Z. Y. Lai, D. Y. Li, Y. C. Lin, F. I. Chou and Y. J. Chuang. Analysis of DNA Damage Responses After Boric Acid-mediated Boron Neutron Capture Therapy in Hepatocellular Carcinoma. Anticancer Research, 2019, 39: 6661-6671.  
5. Hung Y. H., Y. C. Lin, Suitability of boric acid as a boron drug for boron neutron capture therapy for hepatoma. Applied Radiation and Isotopes, 2020, 164: October 109254. Corresponding author.
6. Lin Y. C., F. I. Chou, B. H. Yang, C. W. Chang, Y. W. Chen and J. J. Hwang. Similar T/N ratio between 18F-FBPA diagnostic and BPA therapeutic dosages for boron neutron capture therapy in orthotropic tongue cancer model. Annals of Nuclear Medicine, 2020, 34: 58–64. Corresponding author.
7. Jiang S. H., Y. W. Hsueh Liu, F. I. Chou, et al., The overview and prospects of BNCT facility at Tsing Hua Open-pool reactor. Applied Radiation and Isotopes, 2020, 161: 109143.
8. Lan T. L., F. I. Chou, K. H. Lin, et al.,P. S. Pan, J. C Lee, W. S Huang, Y. M. Liu, Y. Chao, Y. W. Chen. Using salvage Boron Neutron Capture Therapy (BNCT) for recurrent malignant brain tumors in Taiwan. Applied radiation and isotopes, 2020,  160: June 109105.  
9. Hung Y. S. Y. C. Lin et al., Y. T. Lin, et al., Therapeutic Efficacy and Radiobiological Effects of Boric Acid-mediated BNCT in a VX2 Multifocal Liver Tumor-bearing Rabbit Model. Anticancer Research, 2019, 39 (10): 5495-5504. Corresponding author.

•    Join The BNCT Development in Taiwan, and started 30 years of BNCT research, in 1992.. 
•    As the Director of Nuclear Science and Technology Development Center (NSTDC), National Tsing Hua University, 2007~2010.
     Coordinated the International, Interdisciplinary BNCT Research Projects for the Clinical Trial and basic research and initiated the clinical BNCT.
•    Organization of ICNCT-18 in Taipei, that was a scientific and social gathering of the BNCT community in 2018
•    As a member of the Executive Committee the International Society for Neutron Capture Therapy, and of the Board of Councilors (end 2012)

1. Professor, 2. Professor, 3. Medical Director, 4. Consultant, 5. President

1.    Taipei Veterans General Hospital (VGHTPE), Taiwan
2.    School of Medicine, National Yang Ming Chiao Tung University (NYCU), Taiwan
3.    Taiwan AI Labs, Taipei, Taiwan
4.    CMU Hospital, Taichung, Taiwan
5.    The World Federation of Neuroradiological Societies (WFNRS)

1. Radiology, 2. Neuroradiology, 3. Brain Tumors diagnosis and management, 4. Fetal Imaging, 5. Stereotactic Radiosurgery, 6. Radiology Department Administration Service, 7. International Imaging Society Service, 8. Artificial Intelligence in Medical Imaging

1974-1981 Medical Doctor, China Medical University, Taiwan

1989-1993 PhD, Karolinska Institute, Stockholm, Sweden 

1.    Hundreds of publications and hundreds of domestic and international invited speeches.
2.    Five SCI Journals cover story papers

Professor Wan-Yuo Guo is a neuroradiologist/radiologist at VGHTPE and a Professor of School of Medicine, NYCU, Taiwan. After fundamental radiology training for five years at VGHTPE, he received a four-year grant from VGHTPE and took a doctoral program at the Karolinska Institute (KI), Stockholm, Sweden. At KI, he built up basic training and research skill in stereotactic neuroimaging and radiosurgery. The time in Sweden fostered Dr. Guo to be an enthusiastic clinical practitioner and a devoted researcher in Neuroradiology. He received domestic and international research grants consecutively in the last decades. Dr. Guo’s collaborators and publications in the field of radiology cover a variety of expertise connection, namely neurosurgery, obstetrics, pediatrics, perinatology, pathology, fetal brain volumetry and morphometry, neurology, anesthesiology, psychiatry, neurophysiology, radiation biology, molecular imaging, medical physics, signal analysis, computer science and biostatistics.  

Dr. Guo has been enthusiastically engaged to the domestic and international neuroradiological societies. For WFNRS, he served as the member of Nominating Committee in 1998, the member of the Commission on Research in 2000, the commission on Training and Standards in 2003 and, the Member-at-Large (2006-2010). In 2010, he was elected as the President of XXI SNR (the World Congress of Neuroradiology). In 2018 he hosted XXI SNR in Taipei, Taiwan as the President. Dr. Guo is experienced and skilled in organizing international congresses up to thousands of participants with high scientific standard.  
 Dr. Guo’s recent research scope has further extended to the field of AI in medical imaging since 2018. The extension stands mainly on the strong foundation of imaging dataset from the Department of Radiology at VGHTPE and the close collaboration with data scientists at National yang Ming Chiao Tung University and other major AI research institutes, including Taiwan AI Labs, in Taiwan.  

Postdoctoral Researcher

Institute of Biophotonics, National Yang Ming Chiao Tung University

Medical Image Processing; Machine Learning; Deep Learning

2017-2021       PhD  Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University

2015-2017       MS   Department of Biomedical Imaging and Radiological Sciences, National Yang Ming University

2011-2015       BS    Department of Biomedical Imaging and Radiological Science, China Medical University

1. Hong, J. S., Tzeng, Y. H., Yin, W. H., Wu, K. T., Hsu, H. Y., Lu, C. F., ... & Wu, Y. T. (2022). Automated coronary artery calcium scoring using nested U-Net and focal loss. Computational and Structural Biotechnology Journal, 20, 1681-1690.
2. Hong, J. S., Hermann, I., Zöllner, F. G., Schad, L. R., Wang, S. J., Lee, W. K., ... & Wu, Y. T. (2022). Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network. Sensors, 22(3), 1260.
3. Chen K. M., Lee B. C., Chen P. T., Liu K. L., Lin K. H., Chang C. C., Wu T. H., Hong J. S., Lin Y. H. (2021). Evaluation of abdominal computed tomography scans for differentiating the discrepancies in abdominal adipose tissue between two major subtypes of primary aldosteronism. Frontiers in endocrinology, 12.
4. Chen K. M., Chang Y. L., Wu T. H., Lee B. C., Chen P. T., Liu K. L., Hong J. S., Chang C. C., Wu V. C., and Lin Y. H., on behalf of the TAIPAI Study Group (2021). Aldosterone-producing adenoma-harbouring KCNJ5 mutations is associated with lower prevalence of metabolic disorders and abdominal obesity. Journal of Hypertension, 39(12), 2353-2360.
5. Hermann, I., Martínez-Heras, E., Rieger, B., Schmidt, R., Golla, A. K., Hong, J. S., Lee, W. K., Wu, Y. T., Nagetegaal, M., Solana, E., Llufriu, S., Gass, A., Schad, L. R., Weingärtner, S., & Zöllner, F. G. (2020). Accelerated white matter lesion analysis based on simultaneous T1 and T2∗ quantification using Magnetic Resonance Fingerprinting and Deep Learning. Magnetic Resonance in Medicine, 86(1), 471-486.
6. Hong, J. S., Lin, C. J., Lin, Y. H., Lee, C. C., Yang, H. C., Meng, L. H., ... & Wu, Y. T. (2020). Machine Learning Application With Quantitative Digital Subtraction Angiography for Detection of Hemorrhagic Brain Arteriovenous Malformations. IEEE Access, 8, 204573-204584.
7. Hong, J. S., Kao, Y. H., Chang, F. C., & Lin, C. J. (2019). Validating the automatic independent component analysis of DSA. American Journal of Neuroradiology, 40(3), 540-542.

Dr. Jia-Sheng Hong, Ph.D., is currently a postdoctoral researcher and has the board certification of a radiological technologist. He has studied in the field of radiology and medical imaging from BS to Ph.D. His main research interests include medical image processing, machine learning, and deep learning. He has collaborated with the Taipei Veterans General Hospital to apply machine learning methods to detect the hemorrhage of arteriovenous malformation in the brain. His Ph.D. research, in collaboration with the University of Heidelberg, Germany, is dedicated to using deep learning for a technique in magnetic resonance imaging, namely reconstruction optimization of magnetic resonance fingerprinting. In addition, he collaborated with the Cheng Hsin General Hospital on the automatic detection of cardiac coronary artery calcification using deep learning. Furthermore, he recently collaborated with the Taichung Veterans General Hospital to develop a methodology to automatically detect and segment the arteriovenous malformations on brain magnetic resonance imaging.  Dr. Hong is interested in applying artificial intelligence to medical image processing.

Research assistant

Institute of Biophotonics, National Yang Ming Chiao Tung University

Medical images and signals processing
Computer-aided diagnostic system
Machine learning

Ph.D

1. Yen-Ling Chen, Pei-Chi Tu, Tzu-Hsuan Huang, Ya-Mei Bai, Tung-Ping Su, MuHong Chen, Yu-Te Wu (2021, Aug). Identifying subtypes of bipolar disorder based on clinical and neurobiological characteristics. Scientific Report, 11:1782.
2. Tzu-Hsuan Huang, Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Yen-Ling Chen, Hsiu-Mei Wu, Wan-You Guo, Yu-Te Wu (2021, Jun). Detection of Vestibular Schwannoma on Triple-parametric Magnetic Resonance Images Using Convolutional Neural Networks. Journal of Medical and Biological Engineering, 41(5), 626-635.
3. Yen-Ling Chen, Pei-Chi Tu, Tzu-Hsuan Huang, Ya-Mei Bai, Tung-Ping Su, MuHong Chen, Yu-Te Wu (2020, Oct). Using Minimal-Redundant and MaximalRelevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder. Frontiers in Neuroscience, 14:563368.
4. Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te Wu (2020, Jul). Combining analysis of multiparametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. Artificial Intelligence in Medicine, 107(101911):1-8.

Dr. Tsz-Hsuan Huang received his Bachelor's degree in Physics from National Tsing Hua University and Ph.D degree in biophotonics from National Yang Ming Chiao Tung University. Dr. Huang specializes in medical signal and image processing and medical applications of artificial intelligence (AI) methods. He is familiar with programming languages for data science, and specializes in graphical user interface (GUI) design and programming applications of machine learning and deep learning methods. His current research interests include brain-computer interface, EEG and physiological signal analysis, medical imaging, brain tumor detection, X-ray object detection, etc. He is currently working as a research assistant at National Yang Ming Jiaotong University to assist in the project of brain tumor classification and detection, and also assists in related courses including machine learning, deep learning, and linear algebra, etc.

Medical Physicist

Department of Oncology, Taipei Veterans General Hospital

Radiation therapy, boron neutron capture therapy, treatment planning system

Ph.D. Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University

1.    Chen, Y.-W., Y.-Y. Lee, C.-F. Lin, T.-Y. Huang, S.-H. Ke, P.-F. Mu, P.-S. Pan, J.-K. Chen, T.-L. Lan and P.-C. Hsu (2022). "Compassionate treatment of brainstem tumors with boron neutron capture therapy: A case series." Life 12(4): 566.
2.    Chen, Y.-W., Y.-Y. Lee, C.-F. Lin, P.-S. Pan, J.-K. Chen, C.-W. Wang, S.-M. Hsu, Y.-C. Kuo, T.-L. Lan and S. P. Hsu (2021). "Salvage boron neutron capture therapy for malignant brain tumor patients in compliance with emergency and compassionate use: evaluation of 34 cases in Taiwan." Biology 10(4): 334.
3.    Jiang, S.-H., Y.-W. H. Liu, F.-I. Chou, H.-M. Liu, J.-J. Peir, Y.-H. Liu, Y.-S. Huang, L.-W. Wang, Y.-W. Chen and S.-H. Yen (2020). "The overview and prospects of BNCT facility at Tsing Hua Open-pool reactor." Applied Radiation and Isotopes 161: 109143.
4.    Lan, T.-L., F.-I. Chou, K.-H. Lin, P.-S. Pan, J.-C. Lee, W.-S. Huang, Y.-M. Liu, Y. Chao and Y.-W. Chen (2020). "Using salvage Boron Neutron Capture Therapy (BNCT) for recurrent malignant brain tumors in Taiwan." Applied Radiation and Isotopes 160: 109105.
5.    Chen, Y.-W., J.-C. Lee, T.-L. Lan, F.-I. Chou, W.-S. Huang, K.-H. Lin, P.-S. Pan, Y.-C. Kuo, S.-M. Hsu and J. Chen (2019). "Boron Neutron Capture Therapy-A New Generation of Targeted Charged-Particle Radiotherapy." Biomedical Journal of Scientific & Technical Research 13(1): 9687-9689.

•    Assistant Professor, Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, 2013 - now
•    Medical Physicist, Department of Oncology, Taipei Veterans General Hospital, 2012 – now
•     Researcher of Medical Physicist, Osaka Heavy Ion Therapy Center (HIMAK)

Postdoctoral Research Fellow

National Yang Ming Chiao Tung University

Neuroimage, Machine learning

PhD

Wei-Kai Lee is a postdoctoral research fellow at National Yang Ming Chiao Tung University. He completed his PhD program in Department of Biomedical Imaging and Radiological Sciences at National Yang Ming Chiao Tung University. He started his research on neuroimaging since 2017, including the field of neuro-oncology and neurodegenerative disease. Until now, he has published 6 peer-reviewed articles and 2 international conference papers related to the quantitative neuroimage analysis in brain MRI, reconstruction of MR fingerprinting and the application of machine learning in intracanial tumor segmentation.

Vice President

IFMBE

Biomedical Engineering

Kang-Ping Lin obtained his Ph.D. degree in 1994 at the University of California, Los Angeles (UCLA) in Biomedical Physics.

• Kang-Ping Lin, Ren-Shyan Liu, Bang-Hung Yang, “Future Trends and Challenges of Molecular Imaging and AI Innovation”, 2022, Springer Nature
• Hsu-Heng Yen, Ping-Yu Wu, Mei-Fen Chen, Wen-Chen Lin, Cheng-Lun Tsai, Kang-Ping Lin , “Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature” , 2021 , Journal of Clinical Medicine , vol.10 , p.3527-3527
• Shun-Ping Wang, Kun-Jhih Lin, Cheng-En Hsu, Chao-Ping Chen, Cheng-Min Shih, Kang-Ping Lin , “Biomechanical Comparison of a Novel Implant and Commercial Fixation Devices for AO/OTA 43-C1 Type Distal Tibial Fracture” , 2021 , Applied Sciences , vol.11 , p.4395-4395
• Han-Kuei Wu, Ming-Yang Chang, Hao-Min Cheng, Po-Chi Hsu, Lun-Chien Lo, Li-Chuan Chen, Kang-Ping Lin, Hen-Hong Chang , “Low central blood pressure and sympathetic activity predispose for the development of intradialytic hypotension” , 2021 , Medicine , vol.100 , p.e25299-e25299
• Hsu-Heng Yen, Ping-Yu Wu, Pei-Yuan Su, Chia-Wei Yang, Yang-Yuan Chen, Mei-Fen Chen, Wen-Chen Lin, Cheng-Lun Tsai, Kang-Ping Lin , “Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease” , 2021 , Journal of Medical and Biological Engineering (JMBE) , vol.41 , p.504-513
• Meilan Jimmy Hasugian, Wen-Chen Lin, Mei-Fen Chen, Bang-Hung Yang, Ren-Shyan Liu, Kang-Ping Lin , “Auto-ROIs of bone scan image using thin-plate spline with specific bone landmarks” , 2020 , Health and Technology , vol.10 , p.1469-1484
• Bang Hung Yang, Kang Ping Lin, Mei Fen Chen, Jui Hung Weng, Pan Fu Kao, Wen Chen Lin, Ren Shyan Liu , “Automatic Striatal ROI Delineation for Semi quantitative Analysis of 99mTc-TRODAT Brain SPECT Imaging” , 2020 , Journal of Medical and Biological Engineering (JMBE) , vol.40 , p.428-439
• Patent: Wenzheng Lin, Kangping Lin, "Method and System for Automated Localization of Striatum imaging in Nuclear Medicine and Calculation of Striatum Specificity Uptake Rate", Inventions , 2020 , Republic of China Taiwan , I686178 (2020.3)

Kang-Ping Lin is the Distinguished Professor of Electrical Engineering and the Director of Technology Translation Center for Medical Device at Chung-Yuan Christian University (CYCU), Taiwan. He serves several positions including the President of Taiwanese Society of Molecular Imaging (2019~2022), the Editor-in-Chief of JMBE and HEAL, the Vice-President of the IFMBE (2022~2025), member of the Administrative Council of IUPESM and coo-coordinator of the IUPESM Medical Engineering and Physics initiative. 
His research interests include handheld medical devices, physiological signal processing, and medical image processing. In addition to his research work, he has long been involved in continuing education and training programs in clinical engineering.
Professional Achievements:
• Served for 35 years in Taiwanese Society of Biomedical Engineering (TSBME) as Secretariat assistant, Treasurer, President, Committee Chair, EiC of Society Journal. TSBME today has more than 1600 members, ~600 active BMEs and CEs.
• Served as the Director at Medical Technological Division, BME Center, Industrial Technology Research Institute, Taiwan., that founded several BME companies, and who served as CEO for 9 years at DailyCare Biomedical Inc..
• Contributed as PI to more than 100 research projects in BME mostly based on bioelectronics, biomedical information and medical imaging applications for diagnostic purposes with 19 granted patents and hundreds scientific journal papers.
• Established “Center for Technology Translation on Medical Device” in Chung Yuan Christian University, for developing of industry, academia and medicine oriented medical devices.
• Supervised 8 PhD dissertations and 108 MS theses.
Awards & Honors:
• Fellow, International Union for Physical and Engineering Sciences in Medicine (IUPESM) (2020)
• Wei Han Biomedical Engineering Service Award, Taiwanese Society of Biomedical Engineering (2019)
• Antonio Hernandez International Clinical Engineering Award, American College of Clinical Engineering (ACCE) (2017)
• Outstanding Engineering Professors Award, Chinese Institute of Engineers (2018)
• Fellow, International Academy of Medical & Biological Engineering (IAMBE) (2013)

Director, Department of Nuclear Medicine & Xi-Yun PET Center

Cheng-Hsin General Hospital

Professor, Biomedical Imaging and Radiological Sciences

Division of Nuclear Medicine, National Yang Ming Chiao Tung University

Physician scientist, National PET/Cyclotron Center

Taipei Veterans General Hospital 

1971-1977  MD  National Defense Medical Center, Taipei, Taiwan

1977-1982  Resident, Department of Nuclear Medicine, Taipei Veterans General Hospital

1990           Fellow, PET Center in KAFA, Julich and Department of Neurology, Köln University Hospital, Germany

1991           Fellow, PET Center in the Institute of Neurology, McGill University, Canada

1994           Fellow, PET Center in Iowa University Hospital, U.S.A.

Molecular-Genetic Imaging of Small Animal

Nuclear Oncology

Neuronuclear Medicine

Nuclear Endocrinology

Emergency Medical Planning and Management of Radiation Accident

2011  The Outstanding Research Award, Taipei Veterans General Hospital.

1995  The Outstanding Research Award, (Intra-arterial I-131 lipiodol and histoacryl in treatment of hepatoma), Atomic Energy Council, R.O.C.

1. Chen YA, Li JJ, Lin SL, Lu CH, Chiu SJ, Jeng FS, Chang CW, Yang BH, Chang MC, Ke CC, Liu RS*. Effect of Cerenkov Radiation-Induced Photodynamic Therapy with ¹⁸F-FDG in an Intraperitoneal Xenograft Mouse Model of Ovarian Cancer.  J. Mol. Sci. 2021, 22(9), 4934; https://doi.org/10.3390/ijms22094934
2. Chen YA, Lu CH, Ke CC, Chiu SJ, Jeng FS, Chang CW, Yang BH, Liu RS*. Mesenchymal Stem Cell-Derived Exosomes Ameliorate Alzheimer’s Disease Pathology and Improve Cognitive Deficits. Biomedicines 2021, 9, 594. https://doi.org/10.3390/biomedicines9060594.
3. Chen YA, Lu CH, Ke CC, Chiu SJ, Chang CW, Yang BH, Gelovani JG, Liu RS*. Evaluation of Class IIa Histone Deacetylases Expression and In Vivo Epigenetic Imaging in a Transgenic Mouse Model of Alzheimer’s Disease; J. Mol. Sci. 2021;22(16), 8633.  https://doi.org/10.3390/ijms22168633
4. Chen YA, Ho CL, Ku MT, Hue L, Lu CH, Chiu SJ, Chang WY and Liu RS*. Detection of Cancer Stem Cells by EMT-Specific Biomarker-based Peptide Ligands. Scientific Reports 2021;17;11(1):2243, 2021.
5. Chen YA, Lu CH, Ke CC and Liu RS*. Mesenchymal Stem Cell-Derived Extracellular Vesicle-Based Therapy for Alzheimer’s Disease: Progress and Opportunity. Membranes 2021; 11(10), 796

Associate Professor

Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taiwan

Magnetic Resonance Imaging, Radiomics, Machine Learning, Cancer Imaging

2007-2012 Ph.D., Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taiwan

1.    Chia-Feng Lu, Fei-Ting Hsu, Kevin Li-Chun Hsieh, Yu-Chieh Jill Kao, Sho-Jen Cheng, Bo-Kai Hsu, Ping-Huei Tsai, Ray-Jade Chen, Chao-Ching Huang, Yun Yen, Cheng-Yu Chen. Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas. Clinical Cancer Research, 24(18):4429-4436, 2018. (IF=12.531, Q1)
2.    Huai-Che Yang, Chih-Chun Wu, Cheng-Chia Lee, Huai-En Huang, Wei-Kai Lee, Wen-Yuh Chung, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te Wu, Chia-Feng Lu*. Prediction of Pseudoprogression and Long-term Outcome of Vestibular Schwannoma after Gamma Knife Radiosurgery based on Preradiosurgical MR Radiomics. Radiotherapy and Oncology, 155:123-130, 2021. (IF=6.280, Q1)
3.    Chien-Yi Liao, Cheng-Chia Lee, Huai-Che Yang, Ching-Jen Chen, Wen-Yuh Chung, Hsiu-Mei Wu, Wan-You Guo, Ren-Shyan Liu, Chia-Feng Lu*. Enhancement of Radiosurgical Treatment Outcome Prediction Using MRI Radiomics in Patients with Non-Small Cell Lung Cancer Brain Metastases. Cancers, 13:4030, 2021 (IF=6.639, Q1) 
4.    Po-Chien Shen, Wen-Yen Huang, Yang-Hong Dai, Cheng-Hsiang Lo, Jen-Fu Yang, Yu-Fu Su, Ying-Fu Wang, Chia-Feng Lu*, Chun-Shu Lin*. Radiomics-based predictive model of radiation induced liver disease in hepatocellular carcinoma patients receiving stereotactic body radiotherapy. Biomedicines, 10(3), 597, 2022. (SCI, 2020 IF=6.081, Q1)
5.    Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo, Yu-Te Wu. Combining analysis of multi-parametric MR images into a convolutional neural network: precise target delineation for vestibular schwannoma treatment planning. Artificial Intelligence in Medicine, 107:101911, 2020. (IF=5.326, Q1)

Dr. Chia-Feng Lu is a board-certified radiological technologist and associate professor in Taiwan. A major research focus recently is to develop image platforms in quantifying tumor phenotypes using MR/CT radiomics and performing neurological studies of fNIRS, fMRI, and DTI. The issue of patentability and the subsequent technique transfer for the developed techniques and platforms is of interest to him. For the past nine years, he designed and taught more than fifteen courses related to the computer sciences, programming language, medical imaging techniques, and image analysis for undergraduate and graduate students. Not only in-class teaching, he is continuously providing online self-learning materials, including more than 350 YouTube teaching videos that accumulated over 98-thousand-hour viewing time. He was awarded the College Outstanding Teaching Award in School of Biomedical Science and Engineering and participated in the innovative teaching program to redesign the course of programming language and implement new teaching technologies to enhance student learning. He works closely with colleagues and students to continuously improve the teaching and learning environment in high education of medical imaging. 

Personal website: http://cflu.lab.nycu.edu.tw 

Distinguished Professor and R&D Deputy Dean, College of Biomedical Science and Engineering

National Yang Ming Chiao Tung University

Medical Image Analysis, AI applications in medicine

Ph.D. in Electrical Engineering, University of Pittsburgh, Pittsburgh, USA

1. Jia-Sheng Hong Yun-Hsuan Tzeng, Wei-Hsian Yin , Kuan-Ting Wu , Huan-Yu Hsu , Chia-Feng Lu , Ho-Ren Liu*, Yu-Te Wu*, Automated coronary artery calcium scoring using nested U-Net and focal loss, Computational and Structural Biotechnology Journal (2022), doi: https://doi.org/10.1016/j.csbj.2022.03.025
2. Jia-Sheng Hong , Ingo Hermann , Frank Gerrit Zöllner, Lothar R. Schad , Shuu-Jiun Wang, Wei-Kai Lee, Yung-Lin Chen, Yu Chang and Yu-Te Wu*, Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network. SENSORS 2022, 22, 1260. https://doi.org/10.3390/s22031260
3. Jr-Wei Wu, Pi-Yi Lai, Yung-Lin Chen, Yen-Feng Wang, Jiing-Feng Lirng, Shu-Ting Chen, Kuan-Lin Lai, Wei-Ta Chen, Yu-Te Wu*, Shuu-Jiun Wang*. The Use of Neuroimaging for Predicting Sumatriptan Treatment Response in Patients with Migraine. Frontiers in Neurology 2022, DOI: 10.3389/fneur.2022.798695
4. Szu-Yu Lin, Chi-Wen Jao, Po-Shan Wang, Michelle Liou, Jun-Liang Wu, Hsiao Chun, Ching-Ting Tseng, Yu-Te Wu*. Differences in Physiological Signals due to Age and Exercise Habits of Subjects During Cycling Exercise. SENSORS 2021, 21, 7220. https://doi.org/10.3390/s21217220
5. Chun-Yi Lin, Chia-Feng Lu, Han-Mei Lu, Chi-Wen Jao, Po-Shan Wang, Yu-Te Wu*. Using Fuzzy Classifier in Ensemble Method for Motor Imagery Electroencephalography Classification. International Journal of Fuzzy Systems 2021; https://doi.org/10.1007/s40815-021-01108-8
6. Yen-Ling Chen, Pei-ChiTu, Tzu-Hsuan Huang, Ya-Mei Bai, Tung-Ping Su, Mu-Hong Chen & Yu-Te Wu*. Identifying subtypes of bipolar disorder based on clinical and neurobiological characteristics. Scientific Reports 2021;11(17082)
7. Tzu-Hsuan Huang, Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Yen-Ling Chen, Hsiu-Mei Wu, Wan-You Guo, Yu-Te Wu*. Detection of Vestibular Schwannoma on Triple-parametric Magnetic Resonance Images Using Convolutional Neural Networks. Journal of Medical and Biological Engineering; 2021, https://doi.org/10.1007/s40846-021-00638-8.
8. Cheng-chia Lee, Wei-Kai Lee, Chih-Chun Wu, Chia-Feng Lu, Huai-Che Yang, Yu-Wei Chen, Wen-Yuh Chung , Yong-Sin Hu , Hsiu-Mei Wu , Yu-Te Wu*, Wan-Yuo Guo*^, Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery 2021; Scientific Report,  11(3106):doi.org/10.1038/s41598-021-82665-8
9. Ko-Kung Chen, Chung-Jung Lin, Wan-Yuo Guo, Wei-Fa Chu and Yu-Te Wu*. Estimating blood flow velocity using time-resolved 3D angiography and derived physical law of contrast media. PHYSIOLOGICAL MEASUREMENT 2021:doi.org/10.1088/1361-6579/abe022
10. Jia-Sheng Hong, Chung-Jung Lin, Yue-Hsin Lin, Cheng-Chia Lee, Huai-Che Yang, Ling-Hsuan Meng, Te-Ming Lin, Yong-Sin Hu, Wan-You Guo, Wei-Fa Chu, Yu-Te Wu*. Machine Learning Application with Quantitative Digital Subtraction Angiography for Detection of Hemorrhagic Brain Arteriovenous Malformations. IEEE Access 2020; 8: 204573-204584
11. Wei-Kai Lee, Chih-Chun Wu, Cheng-Chia Lee, Chia-Feng Lu, Huai-Che Yang, Tzu-Hsuan Huang, Chun-Yi Lin, Wen-Yuh Chung, Po-Shan Wang, Hsiu-Mei Wu, Wan-Yuo Guo*, Yu-Te Wu*. Combining analysis of multi-parametric MR images into a convolutional neural network: Precise target delineation for vestibular schwannoma treatment planning. ARTIFICIAL INTELLIGENCE IN MEDICINE 2020; 107(101911):1-8
12. Yen-Ling Chen, Pei-Chi Tu, Tzu-Hsuan Huang, Ya-Mei Bai, Tung-Ping Su, Mu-Hong Chen and Yu-Te Wu*. Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder. Frontiers in Neuroscience 2020; 14:563368

Yu-Te Wu received a B.S. degree in electrical engineering from National Cheng-Kung University, Tainan, Taiwan, R.O.C., in 1988, and M.S. and Ph.D. degrees in electrical engineering from the University of Pittsburgh, Pittsburgh, PA, in 1992 and 1997, respectively.  He was a Research Associate at the Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, during 1997–1998. Currently, he is a Distinguished Professor, Institute of Biophotonics, at National Yang-Ming University, Taipei, Taiwan. He has published more than 120 articles in the areas of neuroimaging, machine learning, and brain-computer interface.

Prof. Wu has long been dedicated in brain magnetic resonance (MR) imaging analysis and applications using machine learning.  The image-biomarkers, such as fractal dimension (FD), gyrification index (GI), curvedness (CVD), shape index (SI), and brain network connectivity have been applied to quantify the change of cortical morphology and network properties on structural and functional MR images, respectively.  He has investigated the modulation of structural and functional brain network and association between structural/functional alteration and clinical syndromes of neuropsychiatric and neurodegenerative disorders, such as major depressive disorder, bipolar disorder, spinocerebellar ataxia (SCA), and multiple system atrophy type C (MSA-C). In addition, these structural and functional image biomarkers subserve as important features for differentiating some neuropsychiatric and neurodegenerative disorders where the structural changes of the cerebrum and cerebellum are difficult to identified via visual inspection.

In recent years, Prof. Wu has collaborated with the Gamma Knife team at Taipei Veterans General Hospital (VGHTPE) and Dept. of Radiation Oncology at Taichung Veterans General Hospital, Taiwan, to develop a gamma knife treatment decision assisting system for vestibular schwannoma, meningioma and brain metastasis. The goals of this study include the development of deep-learning based method for automate tumor segmentation and application of deep-learning model to predict the treatment response. In addition, He also collaborated with the Department of Radiology, VGHTPE, in the application of machine learning for quantitative digital subtraction angiography for improvement of hemorrhagic risk stratification of brain arteriovenous venous malformations.

Dr. Chih-Kuang Yeh received his B.S., M.S. and Ph.D. degrees in biomedical engineering from Chung-Yuan Christian University, Chung-Li, Taiwan, in 1995 and National Cheng-Kung University, Tainan, Taiwan, in 1997, and in electrical engineering from National Taiwan University, Taipei, Taiwan in 2004, respectively. In 2005, he joined Department of Biomedical Engineering and Environmental Sciences in National Tsing Hua University from 2005 as faculty member. He is a distinguished professor at National Tsing Hua University since 2015. His current research interests include ultrasound molecular theranostics and ultrasound physics. Dr. Yeh collaborated with researchers in the areas of biology, genes, and cancer and assessed tumor theranostics using self-designed ultrasound imaging system and contrast agents. Dr. Yeh proposed the concept of smart, multifunctional ultrasound contrast agents capable of facilitating focus ultrasound while serving as drug carrying vehicles and protecting drugs from rapid degradation for tumor treatment. Now, he is a senior member of IEEE, technical program committee of IEEE International Ultrasonics Symposium (IUS) and served as convener of Biomedical Engineering of Taiwan MOST from 2019 to 2021. He owned the outstanding research award of MOST in 2020 and also published over 145 research papers.