KEYNOTE SPEAKER I

Prof. Mohamad Sawan

IEEE Fellow

Center of Excellence in Biomedical Research on Advances-on-Chips Neurotechnologies, Westlake University, CHN    

Research Area：Advanced Medical Devices

Dr. Mohamad Sawan is an internationally renowned scientist in the field of smart medical devices. He has made significant contributions in implantable and wearable medical devices based on smart microsystems. Professor Sawan got a Ph.D. in Electrical Engineering from University of Sherbrooke in 1990, was a postdoc fellow in Biomedical Engineering in McGill University in 1991, and was assistant professor, associate professor and full professor from 1991 to 2018 in Polytechnique, the Engineering School of University of Montreal. Recently, he joined the School of Engineering of Westlake University as a Chair Professor, Founder and Principle Investigator of the Center for Biomedical Research and Innovation (CenBrain). 

Dr. Mohamad Sawan is Fellow of the IEEE, Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, and Officer of the Quebec’s National Order. He is cofounder and Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems and founder and chair of the Eastern Canadian IEEE-Solid State Circuits Society Chapter, and a member of the Board of Governors of IEEE CAS Society. He has published more than 800 peer-reviewed papers, two books, 13 book chapters, and has been awarded 15 patents. Due to his research accomplishments, Prof. Sawan has received many international awards, including the Queen Elizabeth II Golden Jubilee Medal, Barbara Turnbull Award and Lebanon Presidential Award.

KEYNOTE SPEAKER II

Prof. Hossein Hosseinkhani

Innovation Center for Advanced technology, Matrix, Inc., USA

Research Area：Biomedical Engineering, Nanotechnology, Artificial Intelligence (AI)

Dr. H. Hosseinkhani, Chemical Engineer, has broad experience in life sciences and is an expert in nanotechnology, biomaterials, drug delivery, 3D in vitro systems, bioreactor technology, and bioengineering stem cells technology. His working experience is mainly attributed to academia and industry of biomedical engineering research and development (which includes several years of basic science research experience in a number of premier institutions related to the structure and function of biomaterials, and in polymer-based and mineral-based medical implants development in the medical device industry). 

Prof. Hosseinkhani's achievements include the invention of cardiac tissue regeneration and he is a member of Tissue Engineering International Society, Biomaterials Society and American Society Gene Therapy. He has been awarded several prestigious fellowships including JSPS Fellowship of Japan, and European Marie Curie Fellowship. He authored more than 100 scientific papers published on peer-reviewed Journals, 5 books, and 10 book chapters (H-index: 46 Google Scholar). He is inventor of 16 National and International patents, several of which are licensed to companies acting in the biomedical fields and translated to 7 commercial products.

KEYNOTE SPEAKER III

Prof. Linlin Shen

IEEE Senior Member

School of Computer Scienceand Software Engineering, Shenzhen University, CHN    

Research Area：Medical Image Processing, Biomedical Optical Imaging, Deep Learning (Artificial Intelligence)

Dr. Linlin Shen, a Member of IEEE, received the B.Sc. and M.Eng. degrees from Shanghai Jiao Tong University, Shanghai, China, and the Ph.D. degree from the University of Nottingham, Nottingham, U.K. He was a Research Fellow with the University of Nottingham, working on MRI brain image processing. He is currently a Pengcheng Scholar Distinguished Professor with the School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He is also the Honorary Professor with the School of Computer Science, University of Nottingham and a Distinguished Visiting Scholar with the University of Macau, China. He serves as the Director of the Computer Vision Institute, AI Research Center for Medical Image Analysis and Diagnosis, and China-U.K. Joint Research Lab for Visual Information Processing. He is listed as the Most Cited Chinese Researchers by Elsevier. His research interests include deep learning, facial recognition, analysis/synthesis, and medical image processing. He received the Most Cited Paper Award from the Journal of Image and Vision Computing. His cell classification algorithms were the winners of the International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images held by ICIP 2013 and ICPR 2016.

KEYNOTE SPEAKER Ⅳ

Prof. SAEED ANWAR

Community Health Department, Peshawar Medical College / Director, Prime Institute of Public Health, Peshawar, Pakista

Research Area：Public Health

Dr. Saeed Anwar is a medical doctor with Masters in Public Health, Advanced Diploma in Health Professions Education and WHO Internal Fellowship in Community Mental Health. Right now, he is a Professor at community health sciences at Peshawar Medical College, the Director of the Project Support Unit of Prime Foundation, and Director of Prime Institute of Public Health (PIPH). 

Dr. Saeed’s more than twenty years long career in public health includes, inter alia managing indigenous and internationally funded public health interventions and projects, curricula development & HR capacity building, writing and managing the grants & consultancies, public health research & development. He is a published researcher with publications in high impact journals including the Lancet, Global Health. He was the winner of the BMJ (British Medical Journal) Awards, South Asia 2017 in the category 'Research Paper of the Year'. 

KEYNOTE SPEAKER Ⅴ

Prof. Zhenghua Xu

IEEE Member

School of Health Sciences and Biomedical Engineering, Hebei University of Technology

Research Area: Deep Learning, Medical Artificial Intelligence, Health Data Mining, and Reinforcement Learning

Zhenghua Xu received the B.Eng. degree from Beijing University of Posts and Telecommunications, China, the M.Phil. in Computer Science degree from The University of Melbourne, Australia, in 2012, and the D.Phil in Computer Science degree from University of Oxford, United Kingdom, in 2018. From 2017 to 2018, he worked as a Research Associate at the Department of Computer Science, University of Oxford. Prof. Xu is now a Full Professor at the Hebei University of Technology, China, and also a Distinguished Scholar of “100 Talents Plan” of Hebei Province, China. He has published more than 20 papers in top AI or database conferences, e.g., AAAI, IJCAI, ICDE, EDBT, CIKM, etc. His research focuses on topics within artificial intelligence and data mining, especially deep learning, medical artificial intelligence, health data mining, and reinforcement learning. Prof. Xu’s research is supported by the National Natural Science Foundation of China, the Natural Science Foundation of Tianjin, the “100 Talents Plan” of Hebei Province, and the Yuanguang Scholar Fund of Hebei University of Technology. Dr. Xu continuously serve as the member of Program Committee and Area Chair of several top AI conferences, e.g., AAAI, IJCAI, ECAI, MICCAI, etc. He is also the reviewer of many peer-reviewed journals, e.g., Artificial Intelligence, IEEE Transactions on Knowledge and Data Engineering, IEEE Access, IEEE Intelligent Systems, etc.