Amir Amini, Ph.D., is Professor and Endowed Chair in Bioimaging in the ECE Dept. at the University of Louisville. He received B.S. in Electrical Engineering from the University of Massachusetts, Amherst with high honors when at 18 he was the youngest graduate of the University and Ph.D. in Electrical Engineering and Computer Science from University of Michigan, Ann Arbor. After postdoctoral work on biomedical imaging, he was on faculty at Yale as Assistant Professor. He then moved to Washington University in St. Louis where he was Assistant Professor and then Associate Professor with tenure. He has been at University of Louisville since August 2006 where he directs the Medical Imaging Laboratory and conducts research in the area of computational imaging, cardiovascular imaging, and on medical image analysis including deep learning. Dr. Amini is a Fellow of the American Institute of Medical and Biological Engineering (AIMBE), the International Society for Optics, Photonics, and Imaging (SPIE), and the Institute of Electrical and Electronics Engineers (IEEE) for his contributions to biomedical imaging. He is Vice President for Publications at IEEE Engineering in Medicine and Biology Society for the term 2020-2021.
Professor David Clifton is Professor of Clinical Machine Learning and leads the Computational Health Informatics (CHI) Lab. He is Official Fellow in AI & ML at Reuben College, a Research Fellow of the Royal Academy of Engineering, 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.
Dario Farina (Fellow IEEE 2018) received Ph.D. degrees in automatic control and computer science and in electronics and communications engineering from the Ecole Centrale de Nantes and Politecnico di Torino, respectively, and an Honorary Doctorate degree in Medicine from Aalborg University. He is currently Full Professor and Chair in Neurorehabilitation Engineering at the Department of Bioengineering of Imperial College London. He has previously been Full Professor at Aalborg University and at the University Medical Center Göttingen, Georg-August University, where he founded and directed the Department of Neurorehabilitation Systems, acting as the Chair in Neuroinformatics of the Bernstein Focus Neurotechnology Göttingen. His research focuses on biomedical signal processing, neurorehabilitation technology, and neural control of movement. Within these areas, he has (co)-authored more than 500 papers in peer-reviewed Journals. Among other awards, he has been the recipient of the 2010 IEEE Engineering in Medicine and Biology Society Early Career Achievement Award and received the Royal Society Wolfson Research Merit Award. Professor Farina has been the President of the International Society of Electrophysiology and Kinesiology (ISEK) and is currently the Editor-in-Chief of the official Journal of this Society, the Journal of Electromyography and Kinesiology. He is also currently an Editor for Science Advances, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Robotics and Bionics, Wearable Technologies, the Journal of Physiology, and IEEE Reviews in Biomedical Engineering. He has been elected Fellow IEEE, AIMBE, ISEK, and EAMBES.
Dr. Hongen Liao received his B.S. degree in mechanics and engineering sciences from Peking University, Beijing, China, in 1996, and the M.E. and Ph.D. degrees in biomedical precision engineering from the University of Tokyo, Tokyo, Japan, in 2000 and 2003, respectively. He was a Research Fellow of Japan Society for the Promotion of Science (JSPS). Since 2004, he has been a faculty member at the Graduate School of Engineering, The University of Tokyo, where he became an Associate Professor in 2007. He has been selected as a National “Thousand Talents” Distinguished Professor, National Recruitment Program of Global Experts, China since 2010, and is currently a Full Professor and Vice Director in the Department of Biomedical Engineering, School of Medicine, Tsinghua University, China.
He is an Associate Editor of International Conference of IEEE Engineering in Medicine and Biology Society (Since 2008), the Organization Chair of Medical Imaging and Augmented Reality Conference (MIAR) 2008, the Program Chair of the Asian Conference on Computer-Aided Surgery (ACCAS) 2008 and 2009, the Tutorial co-chair of the Medical Image Computing and Computer Assisted Intervention Conference (MICCAI) 2009, the Publicity Chair of MICCAI 2010, the General Chair of MIAR 2010 and ACCAS 2012, the Workshop Chair of MICCAI 2013, and the General Co-chair of MIAR 2016, ACCAS 2018. He has served as a President of Asian Society for Computer Aided Surgery and Co-chair of Asian-Pacific Activities Working Group, International Federation for Medical and Biological Engineering (IFMBE).
Massimo Mischi (Senior Member, IEEE) received the M.Sc. degree in electronic engineering from La Sapienza University, Rome, Italy, in 1999, and the Ph.D. degree in electrical engineering from the Eindhoven University of Technology (TU/e), Eindhoven, The Netherlands, in 2004. In 2007, he was an Assistant Professor with the Electrical Engineering Department, TU/e. In 2011, he was an Associate Professor with TU/e and founded the Biomedical Diagnostics Research Laboratory, with focus on model-based quantitative analysis of biomedical signals with applications ranging from electrophysiology to diagnostic imaging. He is currently a Full Professor with the Electrical Engineering Department, TU/e. He has coauthored over 300 peer-reviewed publications, 13 patents, one book, and several book chapters. Prof. Mischi is a Board Member of the Imaging Section of the European Association of Urology, the Secretary of the Dutch Society of Medical Ultrasound, and the Chairman of the IEEE EMBS Benelux Chapter. He was a recipient of the STW VIDI Grant in 2009, the ERC Starting Grant in 2011, and the ERC Proof of Concept in 2019 for his research on angiogenesis imaging.
Subhas (M’97, SM’02, F’11) holds a B.E.E. (gold medallist), M.E.E., Ph.D. (India) and Doctor of Engineering (Japan). He has over 30 years of teaching, industrial and research experience.
Currently he is working as a Professor of Mechanical/Electronics Engineering, Macquarie University, Australia and is the Discipline Leader of the Mechatronics Engineering Degree Programme. He is also the Director of International Engagement for the School of Engineering of Macquarie University. His fields of interest include Smart Sensors and sensing technology, instrumentation techniques, wireless sensors and network (WSN), Internet of Things (IoT), wearable sensors, numerical field calculation, electromagnetics etc. He has supervised over 40 postgraduate students and over 100 Honours students. He has examined over 60 postgraduate theses.
He has published over 400 papers in different international journals and conference proceedings, written nine books and forty-two book chapters and edited eighteen conference proceedings. He has also edited thirty-five books with Springer-Verlag and thirty journal special issues. He has organized over 20 international conferences as either General Chairs/co-chairs or Technical Programme Chair. He has delivered 359 presentations including keynote, invited, tutorial and special lectures.
He is a Fellow of IEEE (USA), a Fellow of IET (UK), a Fellow of IETE (India), a Topical Editor of IEEE Sensors journal, and an associate editor of IEEE Transactions on Instrumentation and Measurements and an Associate Editor of IEEE Systems Journal. He is the Editor-in-Chief of he International Journal on Smart Sensing and Intelligent Systems He is a Distinguished Lecturer of the IEEE Sensors Council from 2017 to 2022. He is the Founding Chair of the IEEE Sensors Council New South Wales Chapter.
Dr. Mohamad Sawan (S’88-M’89-SM’96-F’04) received a Ph.D. degree in 1990 in electrical engineering from Sherbrooke University, Canada. He joined Polytechnique Montreal in 1991, where he is currently a professor of microelectronics and biomedical engineering. Dr. Sawan is leading the Microsystems Strategic Alliance of Quebec (ReSMiQ), one of the largest research centers in Canada. He is founder of the Polystim Neurotechnologies Laboratory at Polytechnique including two major research infrastructures intended to build advanced medical devices. He is founder/cofounder of several international conferences, and cofounder and Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems, and Associate Editor of the IEEE Transactions on Biomedical Engineering, and of several other international Journals. He is also 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 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.
Dr. Sawan has published more than 800 peer-reviewed papers, two books, 13 book chapters, and has been awarded 15 patents. Among these patents are the urinary bladder implant, the visual stimulator for blinds, and several other medical devices. He has trained several hundred engineering undergraduate students, and more than 100 master’s and 38 Ph.D. students. Currently, he is supervising 30 research personnel (Master’s and Ph.D. students and other professionals).
Dr. Sawan has received several awards, among them the Shanghai International Collaboration Award, the Queen Elizabeth II Golden Jubilee Medal, the Bombardier Award for technology transfer, the Jacques-Rousseau Award for achieved results in multidisciplinary research activities, the medal of merit from the President of Lebanon for his outstanding contributions, and the Barbara Turnbull Award for spinal cord research in Canada.
Edward Sazonov (IEEE M’02, SM’11) received the diploma of systems engineer from Khabarovsk State University of Technology, Russia, in 1993, and his doctorate in computer engineering from West Virginia University in Morgantown, West Virginia, in 2002. Currently he is a professor in the electrical and computer engineering department at The University of Alabama College of Engineering in Tuscaloosa, Alabama, and the head of the Computer Laboratory of Ambient and Wearable Systems. His research interests span wireless, ambient and wearable devices, and methods of biomedical signal processing and pattern recognition. Devices developed in his laboratory include a wearable sensor for objective detection and characterization of food intake, a highly accurate physical activity and gait monitor integrated into a shoe insole, a wearable sensor system for monitoring of cigarette smoking, and others. His research has been supported by the National Science Foundation, National Institutes of Health, National Academies of Science, as well as by state agencies and private industry and foundations.
Dr. Natalia Trayanova is the inaugural Murray B. Sachs Endowed Professor in the Department of Biomedical Engineering and a professor in the Department of Medicine at Johns Hopkins University. She is also faculty of the Institute for Computational Medicine and director of the Computational Cardiology Laboratory. Trayanova is known for her groundbreaking work in computational cardiology, for which she received the NIH Director’s Pioneer Award in 2013. Also the inaugural William R. Brody Faculty Scholar at Johns Hopkins University, Trayanova is a Fellow of the International Academy of Medical and Biological Engineering, Heart Rhythm Society, American Heart Association, Biomedical Engineering Society, and the American Institute for Medical and Biological Engineering.
The basic science research in Trayanova’s Computational Cardiology Laboratory focuses on understanding the pathological electrophysiological and electromechanical behavior of the heart, with emphasis on the mechanisms for cardiac arrhythmogenesis and pump dysfunction. Importantly, Trayanova’s work also has a strong translational component, which centers on improving the diagnosis and treatment of cardiovascular disease. Using a personalized MRI-based simulation approach, Trayanova is developing new methods for the risk stratification of sudden cardiac death and improving the accuracy and success of atrial and ventricular ablation therapies. Through her cardiac models, which simulate the electrical, mechanical, and physiological properties of individual patients’ hearts, Trayanova is pioneering advances in personalized medicine for patients with cardiovascular disease. Her first-of-their-kind virtual hearts are already being used in the clinic to assess patient risk and guide anti-arrhythmia interventions. Research in Trayanova’s laboratory is supported by grants from NIH, NSF, and the American Heart Association, and has resulted in more than 250 peer-reviewed publications in journals such as Nature Communications (featured article), Journal of Clinical Investigation, PNAS (featured article), and Science Translational Medicine.
Trayanova is actively involved in the commercialization of her technologies, with more than a dozen awarded or pending patents and additional research support from TEDCO’s MII Innovation Commercialization Program. She is the founder and chief scientific officer of Cardiosolv Ablation Technologies, a startup company that develops computational strategies to improve the treatment of ventricular tachycardia, a life-threatening arrhythmia.
Trayanova has received numerous honors and recognitions, including the Discovery Innovation Award from Johns Hopkins University, the Outstanding Researcher and Excellence in Research and Scholarship Awards from Tulane University, and the Fulbright Distinguished Research Award. She has also received awards for excellence in teaching. In addition to serving as chair of the Gordon Research Conference on Cardiac Arrhythmia Mechanisms, Trayanova has presented both nationally and internationally, with more than 250 invited talks, keynotes, and plenary lectures. Her work has received widespread media coverage, including a TEDx Talk in 2017; interviews by the BBC, NPR, and the Economist; and numerous features in outlets such as Scientific American, NBC News, the Baltimore Sun, the Huffington Post, Science Daily, HealthTech Insider, Futurity, and Engadget.
Among her professional activities, Trayanova is associate editor or editorial board member of a number of journals, including Heart Rhythm, Circulation: Arrhythmias and Electrophysiology, Journal of Interventional Cardiology, and Frontiers in Computational Physiology and Medicine. Trayanova has served as a member of the NIH ESTA and MABS study sections, among others. She currently serves on the FDA CIPA Steering Committee and the American Heart Association Research Funding Subcommittee. As an advocate for the federal funding of scientific research, Trayanova was one of four NIH-funded researchers selected to participate in a 2017 Capitol Hill briefing organized by United for Medical Research and House Appropriations Subcommittee Chairman Mike Simpson.
Dr. May Dongmei Wang is a full professor in the Joint Biomedical Engineering Department of Georgia Tech and Emory University, a Georgia Cancer Coalition Scholar, Georgia Tech Petit Institute Faculty Fellow, Director of Biomedical Big Data Initiative, a Kavli Fellow, and a Fellow of the American Institute for Biological and Medical Engineering (AIMBE). She earned BEng from Tsinghua University China, MSs, and PhD from Georgia Institute of Technology. Her research is in Biomedical Big Data Analytics with a focus on Biomedical and Health Informatics (BHI) for predictive, personalized, and precision health (pHealth). In FDA-organized MAQC international consortium, she led the comprehensive RNA-Seq data analysis pipeline study.
Dr. Wang published over 200 peer-reviewed conference and journal articles in referred journals (e.g. Briefings in Bioinformatics, BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of American Medical Informatics Association, Journal of Biomedical and Health Informatics-JBHI, Journal of Pathology Informatics, Proceedings of National Academy of Sciences-PNAS, Annual Review of Medicine, Nature Protocols, Circulation Genetics, IEEE Trans. on Biomedical Engineering-TBME, Annual Review of Biomedical Engineering etc.) and conference proceedings, and delivered more than 200 invited and keynote lectures. She received Outstanding Faculty Mentor Award for Undergraduate Research at Georgia Tech, and a MilliPub Award (for a high-impact paper that has been cited over 1,000 times) from Emory University.
Dr. Wang has served as an Emerging Area Editor for PNAS, Senior Editor for JBHI, an Associate Editor for TBME, and a panelist in NIH, and NSF review panels. She has helped organize ACM Bioinformatics, Computational Biology, and Health Informatics Conferences and IEEE International Conference on Biomedical and Health Informatics. Dr. Wang is elected as the Vice Chair for 2018 Gordon Research Conference (GRC) on Advanced Health Informatics, and has served in IEEE Big Data Initiative (BDI) Steering Committee.
Dr. Wang is Georgia Tech Biomedical Informatics Program Co-Director in Atlanta Clinical and Translational Science Institute (ACTSI), and Co-Director of Georgia-Tech Center of Bio-Imaging Mass Spectrometry. Her research has been supported by NIH, NSF, CDC, Georgia Research Alliance, Georgia Cancer Coalition, Emory-Georgia Tech Cancer Nanotechnology Center, Children’s Health Care of Atlanta, Atlanta Clinical and Translational Science Institute (ACTSI), and industrial partners such as Microsoft Research and HP.