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Keynote Speakers

The keynote speakers list is ordered alphabetically

Prof. Alberto AVOLIO, BE, PhD (UNSW), FIAMBE, is Professor of Biomedical Engineering in The Australian School of Advanced Medicine at Macquarie University, Sydney, Australia. He has acquired international recognition in the field of cardiovascular haemodynamics. He has taught in the fields of cardiovascular dynamics and in the broad area of engineering in medicine and biology and has extensive experience in PhD supervision and in examination of local and international higher degree theses. Current research areas include pulsatile relationships between blood pressure and flow, characterization of pressure-dependent indices of vascular function, cellular and molecular mechanisms of arterial stiffness, pulse wave analysis and non-invasive estimation of central aortic pressure, retinal vascular function and non-invasive assessment of cerebral dynamics, cerebral aneurysms, cardiovascular modelling and biological signal processing. He has received over $7 million in collaborative research grant support and is on the assessmeant panel of national and international granting bodies. He is on the editorial board of journals of cardiovascular research and hypertension (Hypertension, Journal of Hypertension, Artery Research, Current Hypertension Reviews, Advanced Biomedical Engineering, Pulse) and is a reviewer for over 40 international scientific journals. He has over 170 publications including a book, book chapters and peer reviewed articles. Prof. AVOLIO is a Visiting Professor at the Tokyo Medical University and external assessor of Biomedical Engineering curriculum at the University of Malaya. He has recently been elected a Fellow of the International Academy of Medical and Biological Engineering.

Alberto AVOLIO

FIEEE,
Professor Emeritus,
Macquarie Medical School,
Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia

Cuffless Devices and Arterial Blood Pressure: A Challenge of Measurement and Physiology

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Prof. David Clifton is Professor of Clinical Machine Learning and leads the Computational Health Informatics (CHI) Lab. He is OCC Fellow in AI & ML at Reuben College, a Research Fellow of the Royal Academy of Engineering, Visiting Chair in AI for Health at the University of Manchester, and a Fellow of Fudan University, China. He studied Information Engineering at Oxford's Department of Engineering Science, supervised by Professor Lionel Tarassenko CBE. His research focuses on 'AI for healthcare’. In 2018, the CHI Lab opened its second site, in Suzhou (China), with support from the Chinese government. In 2019, the Wellcome Trust's first "Flagship Centre" was announced, which joins CHI Lab to the Oxford University Clinical Research Unit in Vietnam, focused on AI for healthcare in resource-constrained settings. He is a Grand Challenge awardee from the UK Engineering and Physical Sciences Research Council, which is an EPSRC Fellowship that provides long-term strategic support for nine "future leaders in healthcare." He was joint winner of the inaugural "Vice-Chancellor's Innovation Prize", which identifies the best interdisciplinary research across the entirety of the University of Oxford.

David CLIFTON

FRAE, FOCC in AI & ML
Professor of Clinical Machine Learning Department of Engineering Science, University of Oxford, UK
Associate Director of COCHE

Advances in ML for Fusing Medical Data

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Dr. Peng SHI is a professor in the Department of Biomedical Engineering at City University of Hong Kong. He received his bachelor’s degree in electrical engineering from Wuhan University and a Ph.D. degree in Biomedical Engineering from Columbia University. After his postdoctoral training at MIT in Electrical Engineering and Biological Engineering, he joined CityU Hong Kong and has been a faculty member in the BME department since 2011. Dr. SHI works at the convergence between neuroscience and engineering by taking advantage of an interdisciplinary approach that involves nano-/micro-fabrication, microfluidics, ultra-fast optics, high-resolution microscopy, and imaging processing. He focuses on solving important emerging problems in translational neuro-engineering, especially in the development of high-throughput technology and screening platform for the discovery of novel therapeutic targets. His work has led to more than 70 publications in top-tier research journals, including Nature Material Review, Science Advances, Nature communications and Advanced Materials etc., and 12 international patents and disclosures, one of which has been the foundation technology of a spin-off biotech company. Dr. SHI received the Simon’s research award in 2010, and was elected to the 1000 China Young Talent program in 2015. He also received the President Award for research excellence in 2017, outstanding supervisor award in 2018 at CityU, and a special recognition as Young Scholars by World Cultural Council in 2018. Currently, he is an associate editor for the journal Brain Research.

Peng SHI

Professor,
Department of Biomedical Engineering, City University of Hong Kong,
Senior Scientist of COCHE

Spatial-Temporal Epigenetic Profiling Based on High-Throughput Single Cell Intracellular Biopsy

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Dr. May Dongmei WANG is Wallace H. Coulter Distinguished Faculty Fellow and full professor in BME and ECE at Georgia Institute of Technology (GT) and Emory University (EU). She is Director of Biomedical Big Data Initiative, Georgia Distinguished Cancer Scholar, Petit Institute Faculty Fellow, Kavli Fellow, AIMBE Fellow, IAMBE Fellow, IEEE Fellow, and Board of Directors in American Board of AI in Medicine. Her research is in Biomedical Big Data with AI-Driven Intelligent Reality (IR) for predictive, personalized, and precision health (pHealth). During 20+ years academic professorship and ~4 years industrial research, she published 260+ articles in referred journals and conference proceedings and delivered 250+ invited and keynote lectures. Dr. WANG received BEng from Tsinghua University China, and MS with PhD degrees from GT. She is a recipient of GT Outstanding Faculty Mentor Award, and EU MilliPub Award (for a high-impact paper that is cited over 1,000 times).   Dr. WANG is the Senior Editor for IEEE Journal of Biomedical & Health Informatics (J-BHI, Impact Factor 7.02), an Associate Editor for IEEE Transactions for BME, and IEEE Reviews for BME, a panelist for NIH CDMA Study Section, NSF Smart and Connect Health, Brain Canada, and multiple European countries. She was 2016 IEEE Engineering in Medicine and Biology Society (EMBS) Annual Conference Co-Chair, 2014-2015 EMBS Distinguished Lecturer and Emerging Area Editor for Proceedings of National Academy of Sciences (PNAS). Dr. Wang has helped grow Biomedical and Health Informatics (BHI) community since 2012 and is chair for IEEE Biomedical and Health Informatics Technical Community. She currently serves in IEEE Future Directions Committee and International Academy of Medical and Biological Engineering (IAMBE) Executive Committee. At Georgia Institute of Technology (GT), Dr. WANG is in 2022 President Leading Women Program and 2021 Provost Emerging Leaders Program, and is 2018-2021 Carol Ann and David Flanagan Distinguished Faculty Fellow. She was 2015-2017 GT Biomedical Informatics Program Co-Director in Atlanta Clinical and Translational Science Institute (ACTSI), and was Director of Bioinformatics and Biocomputing Core in NIH/NCI-sponsored U54 Center for Cancer Nanotechnology Excellence, and Co-Director of GT Center of Bio-Imaging Mass Spectrometry for over 10 years. Dr. WANG’s research has been supported by NIH, NSF, CDC, Georgia Research Alliance, Georgia Cancer Coalition, Shriners’ Hospitals for Children, Children’s Health Care of Atlanta, Enduring Heart, Coulter Foundation, Microsoft Research, HP, UCB, and Amazon

May Dongmei WANG

FAIMBE, FIAMBE, FIEEE, FKavli Fellow
The Wallace H. Coulter Distinguished Faculty Fellow
Professor and Director of Biomedical Big Data,
Georgia Institute of Technology and Emory University

Advancing Biomedical AI for Addressing Global Health Challenge

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Prof. Yuan ZHANG (Senior Member, IEEE) received the M.S. degree in communication systems and the Ph.D. degree in control theory and engineering from Shandong University, Jinan, China, in 2003 and 2012, respectively. He is currently a Professor with the College of Electronic and Information Engineering, Southwest University, Chongqing, China. He was a Visiting Professor with the Computer Science Department, Georgia State University, Atlanta, GA, USA, in 2014. His current research interests include wearable sensing for smart health, machine learning for auxiliary diagnosis, and biomedical big data analytics. Prof. ZHANG is a Senior Member of Association for Computing Machinery (ACM) and a member of IEEE Engineering in Medicine and Biology Society (EMBS) Wearable Biomedical Sensors and Systems Technical Committee. He is an Associate Editor for IEEE Reviews in Biomedical Engineering, IEEE Open Journal of Engineering in Medicine and Biology, and IEEE Access. He has served as a Leading Guest Editor for six special issues of IEEE, Elsevier, Springer, and InderScience publications. He has served on the technical program committee for numerous international conferences.

Yuan ZHANG

Professor
College of Electronic and Information Engineering
Southwest University

Healthy Sleep Structure for Cardiocerebral Health-Intelligent Sleep Staging

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Prof. Metin AKAY is currently the founding chair of the new Biomedical Engineering Department and the John S. Dunn professor of biomedical engineering at the University of Houston. He received his B.S. and M.S. in Electrical Engineering from Bogazici University, Istanbul, Turkey in 1981 and 1984, respectively, and a Ph.D. degree from Rutgers University in 1990. Prof. AKAY has played a key role in promoting biomedical education in the world by writing and editing several books, editing several special issues of prestigious journals, including the Proc of IEEE, and giving more than a hundred keynote, plenary, and invited talks at international conferences, symposiums, and workshops regarding emerging technologies in biomedical engineering. His Neural Engineering and Informatics Lab is interested in developing an intelligent wearable system for monitoring motor functions in Post-Stroke Hemiplegic Patients and detecting coronary artery disease. In addition, his lab is currently investigating the effect of nicotine on the dynamics of ventral tegmental area (VTA) dopamine neural networks as well as the detection of coronary occlusions.

Metin AKAY

FIEEE, FIAMBE, FAAAS, President of IEEE EMBS Founding Chair and John S Dunn Endowed Chair Professor University of Houston

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Dr. Daniel FRANKLIN is an Assistant Professor in the Institute of Biomedical Engineering (BME) at the University of Toronto, and the Ted Rogers Chair in Cardiovascular Engineering at the Ted Rogers Centre for Heart Failure. He received his doctorate in Physics at the University of Central Florida studying light-matter interactions and developing experimental optoelectronic technologies. As a Post- Doctoral Fellow at Northwestern University, he worked with Professor John Rogers in the fields of bio-integrated electronics and soft-matter photonics. There, Dr. FRANKLIN developed novel bioresorbable materials, laser systems, and flexible wireless implants and wearables for hemodynamic monitoring. Throughout this work, he has won numerous awards including the Baxter Young Investigator Award and the Displaying Futures Award from Merck KGaA, Germany – the world’s largest producer of liquid crystal material. Now, in his new role at University of Toronto, Dr. FRANKLIN’s lab combines optics, engineering, and physiology to produce medical technologies for commercial translation, in partnership with industry-leading semiconductor manufacturers.

Daniel FRANKLIN

Assistant Professor,
Ted Rogers Chair in Cardiovascular Engineering,
Ted Rogers Center for Heart Research,
Institute of Biomedical Engineering,
Translational Biology & Engineering Program(TBEP), University of Toronto

Spectral Wearables for Continuous Hemodynamic Monitoring

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Prof. Sun DONG grew up in Beijing. He studied his doctorate degree in Hong Kong in 1994 and pursued further studies overseas. After his return to Hong Kong in 2000, he joined the City University of Hong Kong (CityU) as professor and started a high-tech company. Prior to his appointment as Secretary for Innovation, Technology and Industry, Prof. Sun DONG was CityU’s Head and Chair Professor of Department of Biomedical Engineering, and Director of Center for Robotics and Automation. Prof. Sun DONG is currently Fellow of the Canadian Academy of Engineering in Canada, Member of the European Academy of Sciences and Arts, Fellow of the International Academy of Medical and Biological Engineering, and Fellow of Institute of Electrical and Electronic Engineers (IEEE) in the USA. He has been committed in promoting higher education and frontline scientific research in Hong Kong for more than 20 years, nurturing for Hong Kong many talents in the field of innovation and technology. He was a Legislative Council Member from January to June 2022.

Dong SUN

JP, FCAE, FEASR,FIAMBE, FIEEE, FAIMBE Secretary for Innovation,
Technology and Industry, HKSAR Government

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Prof. Guangzhong YANG is the founding dean of the Medical Robotics Institute, Shanghai Jiao Tong University. He was the founding director of the Hamlyn Centre for Robotic Surgery, Imperial College London. Prof. YANG is also the Chairman of the advisory board, the UK-RAS Network (http://ukras.org). Prof. YANG’s main research interests are in medical imaging, sensing and robotics. He is a Fellow of the Royal Academy of Engineering, fellow of IEEE, IET, AIMBE, IAMBE, MICCAI, CGI and a recipient of the Royal Society Research Merit Award and listed in The Times Eureka ‘Top 100’ in British Science. Prof. YANG is the founding editor of Science Robotics– a journal of the Science family dedicated to the latest advances in robotics and how it enables or underpins new scientific discoveries. He was awarded a CBE in the Queen’s 2017 New Year Honour for his contribution to biomedical engineering.

Guangzhong YANG

FIEEE, FIET, FAIMBE, FIAMBE, FMICCAI, FCGI, Founding Dean, Chair Professor,
Medical Robotics Institute,
Shanghai Jiao Tong University

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