Dr. James C. L. Chow | Quantum Computing | Best Researcher Award

Dr. James C. L. Chow | Quantum Computing | Best Researcher Award

Princess Margaret Cancer Centre, Canada.

Dr. James Chun Lam Chow, PhD, FCCPM, FInstP, FIET, SMIEEE, PPhys, CPhys, CSci, is a distinguished medical physicist specializing in radiation oncology and artificial intelligence applications in healthcare. He is currently an Associate Professor in Material Science and Engineering at the University of Toronto and a Clinician Investigator at the Princess Margaret Cancer Research Institute. With over two decades of experience in medical physics, his research focuses on AI-driven healthcare solutions, radiation therapy optimization, and Monte Carlo simulations for cancer treatment.

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Education🎓

Dr. James C. L. Chow earned his PhD in Physics from the University of Hong Kong in 1995 under the supervision of Prof. Peter Fung, following a BSc in Applied Physics (First Class Honours) from City University of Hong Kong in 1992. He was awarded a Croucher Postdoctoral Fellowship at the University of Cambridge (1995-1997), then continued his research as a Postdoctoral Researcher at the University of Toronto (1997-1998) and later as a Postdoctoral Fellow at McMaster University (1998-2000). Transitioning into medical physics, he completed his Medical Physics Residency at the London Regional Cancer Centre (2000-2002), gaining clinical expertise in radiation therapy and medical imaging.

Professional Experience🌟

Dr. James C. L. Chow is an accomplished medical physicist and academic with extensive experience in radiation oncology and materials science. He is currently an Associate Professor in the Department of Materials Science and Engineering at the University of Toronto (2025–Present) and has been an Associate Professor in the Department of Radiation Oncology at the University of Toronto since 2019. In addition to his academic roles, he serves as a Medical Physicist at Princess Margaret Cancer Centre (2005–Present), where he also leads as the Physics On-Call Lead (2010–Present). His research contributions are further reflected in his role as a Clinician Investigator at the Princess Margaret Cancer Research Institute (2023–Present) and his affiliation with the Acceleration Consortium at the University of Toronto (2024–Present).

Previously, Dr. Chow held multiple key positions, including Assistant Professor in Radiation Oncology at the University of Toronto (2006–2019) and Medical Physics Site Lead for Skin Cancer at Princess Margaret Cancer Centre (2010–2015). Before joining Princess Margaret, he worked as a Medical Physicist and Deputy Radiation Safety Officer at Grand River Regional Cancer Centre (2002–2005). He has also contributed to academia as an Adjunct Professor at Ryerson University and the University of Waterloo (2005–2010). His career reflects a deep commitment to advancing medical physics, cancer treatment, and interdisciplinary research in materials science and engineering.

Research Interests📚

Dr. Chow’s research focuses on:

Radiation Oncology & Medical Physics: Treatment optimization using Monte Carlo simulations

Artificial Intelligence in Healthcare: AI-driven diagnostic tools and chatbot applications in oncology

Nanotechnology in Radiation Therapy: Gold nanoparticle-enhanced radiotherapy

Clinical Data Analysis: Predictive modeling for cancer treatment outcomes

Awards & Recognitions🏆

2024 Outstanding Reviewer, Nuclear Engineering and Technology Journal

2024 Most-Viewed Article, JMIR Cancer

2024 Outstanding Author of the Year, AIMS Biophysics Journal

2019 Top Peer Reviewer, Web of Science Group

2012 Outstanding Reviewer, Medical Physics Journal

2010 SciNet Local Resource Allocation Award (1 million supercomputing hours for Monte Carlo simulations)

Selected Publications📖

Gold nanoparticles for drug delivery and cancer therapy
S Siddique, JCL Chow
Applied Sciences 10(11), 3824 (2020) – Cited: 382

Chatbot for health care and oncology applications using artificial intelligence and machine learning: Systematic review
L Xu, L Sanders, K Li, JCL Chow
JMIR Cancer 7(4), e27850 (2021) – Cited: 375

Application of nanomaterials in biomedical imaging and cancer therapy
S Siddique, JCL Chow
Nanomaterials 10(9), 1700 (2020) – Cited: 325

Irradiation of gold nanoparticles by X‐rays: Monte Carlo simulation of dose enhancements and the spatial properties of secondary electron production
MKK Leung, JCL Chow, BD Chithrani, MJG Lee, B Oms, DA Jaffray
Medical Physics 38(2), 624-631 (2011) – Cited: 311

Machine learning in healthcare communication
S Siddique, JCL Chow
Encyclopedia 1(1), 220-239 (2021) – Cited: 142

 

 

Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

Northwestern Polytechnical University, China.

Prof. Wen Jiang is a distinguished researcher and academic with a Ph.D. from Northwestern Polytechnical University, Xi’an, China (2009). She currently serves as a professor in the School of Electronics and Information at Northwestern Polytechnical University. Her work focuses on cutting-edge areas like information fusion, artificial intelligence, remote sensing image processing, and intelligent algorithm security, making her a leader in her field.

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Education 🎓

Prof. Wen Jiang has an impressive academic background in information systems and engineering. She earned her Ph.D. in Information Systems from Northwestern Polytechnical University, Xi’an, China, in 2009, where her research focused on innovative data systems and intelligent technologies. Prior to that, she completed her Master’s degree in Information Engineering at Information Engineering University, Zhengzhou, China, in 1997, gaining in-depth knowledge of advanced engineering concepts. She began her academic journey with a Bachelor’s degree in Information Engineering from the same university in 1994, building a strong foundation for her pioneering contributions to the field.

Experience 🏫

Prof. Wen Jiang is a Professor at the School of Electronics and Information, Northwestern Polytechnical University, where she has made a significant impact in academia. She is highly regarded for mentoring aspiring researchers and leading innovative projects in advanced technologies. Her leadership and expertise have been instrumental in driving forward research in areas like artificial intelligence, information fusion, and algorithm security..

Research Interests 🔍

Information Fusion:
Integrating data from diverse sources to enable smarter and more efficient decision-making processes, crucial for applications in defense, healthcare, and industry.

Artificial Intelligence:
Advancing machine learning and intelligent systems to solve complex problems and enhance automation across various domains.

Remote Sensing Image Processing:
Developing cutting-edge tools for environmental monitoring, urban planning, disaster management, and mapping applications.

Intelligent Algorithm Security:
Ensuring the robustness, reliability, and safety of AI-driven solutions to address vulnerabilities in critical systems.

Publications Top Notes 📚

A New Data Augmentation Method Based on Mixup and Dempster-Shafer Theory IEEE Transactions on Multimedia, 2024
Contributors: Zhuo Zhang, Hongfei Wang, Jie Geng, Xinyang Deng, Wen Jiang. Link

A Novel Air Target Intention Recognition Method Based on Sample Reweighting and Attention-Bi-GRU IEEE Systems Journal, 2024
Contributors: Yu Zhang, Weichen Ma, Fanghui Huang, Xinyang Deng, Wen Jiang. Link

Causal Intervention and Parameter-Free Reasoning for Few-Shot SAR Target Recognition IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Weichen Ma, Wen Jiang. Link

CMSE: Cross-Modal Semantic Enhancement Network for Classification of Hyperspectral and LiDAR Data IEEE Transactions on Geoscience and Remote Sensing, 2024, Contributors: Wenqi Han, Wang Miao, Jie Geng, Wen Jiang. Link

Dual-Path Feature Aware Network for Remote Sensing Image Semantic Segmentation IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Shuai Song, Wen Jiang. Link