Professor Amir Amini 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 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 IEEE, AIMBE, and SPIE for his contributions to biomedical imaging. He was Vice President for Publications of IEEE Engineering in Medicine and Biology Society (2020-2021).
Professor Laura Astolfi is a Professor in the Department of Computer, Control, and Management Engineering at Sapienza University of Rome, Italy, where she heads the Laboratory of Bioengineering and Bioinformatics. She is an Associate Editor of Medical & Biological Engineering & Computing and IEEE Reviews in Biomedical Engineering (RBME). Her research activity focuses on the modeling of brain activity and connectivity, EEG applications to neurorehabilitation, hyperscanning, cognition, and social neuroscience. She was an EMBS AdCom Member, Chair of the Technical Committee in Biomedical Signal Processing and Theme Chair for EMBC13/17/19. She received several awards, among which the Best Under-40 Researcher IBM Award, the Trainee Travel Award by the Human Brain Mapping Society, the Young Investigator Competition by the ISBET Society, the Young Investigator Award by the Brain Connectivity Society, the Young Investigator Award by the International Society for Functional Source Imaging. She is a Fellow of EAMBES and a Member of the Scientific Board of ISBET.
Professor Berj L. Bardakjian is a Professor in the Department of Electrical and Computer Engineering, and the Institute of Biomedical Engineering at the University of Toronto. He is an associate editor for the IEEE Transactions on Biomedical Engineering and Annals of Biomedical Engineering. He has over 150 peer-reviewed publications and four patents. His main research interests are neural engineering, electrical rhythms of the brain, EEG based classification of brain states, detection/prediction and abolishment of epileptic seizures, modeling of nonlinear neural systems, signal processing of nonstationary bioelectric signals, biological clocks, and biomedical applications of machine learning approaches. He was a Medical Research Council of Canada (MRC) postdoctoral fellow in the Department of Physiology, and an MRC Scholar in the Institute of Biomedical Engineering, at the University of Toronto. He received the “Bionetics Outstanding Canadian Bioengineer” Award from the Canadian Medical and Biological Society (CMBES). His research funding is provided by grants from CIHR, NSERC, and the Ontario Brain Institute.
Prof. Gert Cauwenberghs is Professor of Bioengineering and Co-Director of the Institute for Neural Computation at UC San Diego, La Jolla CA. His research focuses on micropower integrated biomedical circuits, neuron-silicon and brain-machine interfaces, neuromorphic engineering, and adaptive intelligent systems.
He is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute for Medical and Biological Engineering (AIMBE). He served IEEE in a variety of roles including as Distinguished Lecturer of the IEEE Circuits and Systems Society, as VP of Technical Activities on the Executive Committee of the IEEE Engineering in Medicine and Biology Society, on the Steering Committee of IEEE Brain, and as Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems.
Dr. Rosa H. M. Chan is an Associate Professor in the Department of Electrical Engineering at City University of Hong Kong. Her research interests include computational neuroscience, neural prosthesis, and wearable computing. She received her Ph.D. in Biomedical Engineering in 2011 from University of Southern California, where she also earned her M.Sc. degrees in Electrical Engineering and Aerospace Engineering. In 2013, she co-received Outstanding Paper Award from IEEE Transactions on Neural Systems and Rehabilitation Engineering for cognitive prosthesis modeling research. Currently, she also contributes to the editorial board of Journal of Neural Engineering and IEEE Open Journal of Engineering in Medicine and Biology. Dr. Chan serves as VP (Finance) of IEEE Engineering in Medicine and Biology Society (EMBS) for 2024-25. She chaired Hong Kong-Macau Joint Chapter of IEEE EMBS in 2014, and was elected to IEEE EMBS Administrative Committee (AdCom) as Asia Pacific Representative (2018-22) and VP-Elect (Finance) in 2023.
Professor Dario Farina is a Professor and Chair in Neurorehabilitation Engineering at 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. He has been the recipient of the IEEE EMBS Early Career Achievement Award and the Royal Society Wolfson Research Merit Award. He is a Past President of the International Society of Electrophysiology and Kinesiology (ISEK). He is the Editor-in-Chief of Journal of Electromyography and Kinesiology, 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 is an elected Fellow of IEEE, AIMBE, ISEK, and EAMBES.
Professor Cuntai Guan is a President’s Chair Professor in the School of Computer Science and Engineering, Director of the Artificial Intelligence Research Institute, Director of the Centre for Brain-Computing Research, and Co-Director of S-Lab for Advanced Intelligence, at the Nanyang Technological University, Singapore. His research interests include brain-computer interfaces, machine learning, medical signal and image processing, and neural and cognitive rehabilitation. He is a recipient of the Annual BCI Research Award, the King Salman Award for Disability Research, the IES Prestigious Engineering Achievement Award, the Achiever of the Year (Research) Award, and the Finalist of President Technology Award. He is an elected Fellow of IEEE, AIMBE, NAI, and the Academy of Engineering Singapore.
Professor Yufei Huang is Professor of Medicine at the University of Pittsburgh and Leader in AI for Cancer Research at UMPC Hillman Cancer Center. Dr. Huang has multi-disciplinary expertise in cancer genomics, clinical informatics, and AI/machine learning. His current research focuses on studying the functions of m6A methylation in cancer and cancer viruses and developing AI and informatics tools for spatial single cell sequencing data analysis and visualization. He was a recipient of NSF CAREER Award, UTSA Presidential Achievement Award on Research Excellence, UPMC Hillman Senior Fellow for Innovative Cancer Research, and multiple best paper awards including Best Paper Award of IEEE Signal Processing Magazine. He has served as Associate Editor for journals including IEEE Transactions on Signal Processing, BMC Systems Biology, Frontiers Genetics, and Neurocomputing. Currently, he serves as the Chair of the IEEE EMBS Biomedical and Health Informatics Technical Committee and is the General Chair of the 2023 IEEE-EMBS BHI Conference.
Professor Hongen Liao is currently a Full Professor and Vice Director in the Department of Biomedical Engineering, School of Medicine, Tsinghua University, China. He was previsouly 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. Dr. Liao is the Organization Chair of Medical Imaging and Augmented Reality Conference (MIAR) 2008, 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.
Dr. Zhongming Liu is an Associate Professor of Biomedical Engineering, Electrical and Computer Engineering at the University of Michigan, where he directs the Laboratory of Integrated Brain Imaging and Engineering Preclinical Imaging Center. He is also an Associate Editor of IEEE Transactions on Biomedical Engineering. His research includes development of advanced techniques for imaging, recording, stimulating, and modeling the brain to accelerate progress in neuroscience, neural engineering, and artificial intelligence. His research program has been continuously funded by NIH, NSF, DARPA etc. and has been recognized with a number of awards, including the Innovative New Scientist in Biobehavioral Research from National Institute of Mental Health, Faculty Award of Excellence from Purdue University, Best Dissertation Award from University of Minnesota, and >20 paper or abstract awards from international conferences.
Prof. Dr. Natalie Mrachacz-Kersting, received her Ph.D. degree in biomedical engineering from Aalborg University in 2005, and currently holds the Chair for Neuroscience and Neuroscience in Sport at the Albert-Ludwigs University of Freiburg, Germany. She is the Practitioner Representative for the IEEE Engineering Medicine and Biology Society, Chair of the IEEE WI(BM)E and on the Initiative Steering Committee of the IEEE Brain. She has previously held positions at Aalborg University, Denmark, FH Dortmund and at the University of Auckland, New Zealand. Natalie does research in Medical Technology, Biomedical Engineering and Neuroscience. She has authored over 80 articles in peer- reviewed journals, over 130 conference articles/abstracts, ten book chapters and one book. She is working on several projects specifically within the area of Brain-Computer-Interfaces (BCIs) involving patient populations such as those suffering from stroke or ALS. Dr. Mrachacz-Kersting received several awards including the international BCI award in 2017.
Prof. Dr. Gernot Müller-Putz is University Professor and head of the Institute of Neural Engineering and the Graz BCI-Lab, at Graz University of Technology. He received his PhD in electrical engineering in 2004 and his habilitation in medical informatics from Graz University of Technoloy in 2008. Since 2014 he is full professor for semantic data analysis. His research interest are biosignal analysis, brain-computer interfaces for motor control and communication and the human somatosensory system. Furthermore, he is known as organizer of the Graz BCI Conference. He is Associate Editor for IEEE TBME, Brain-Computer Interfaces and Editor in Chief of Frontiers in Human Neuroscience: Brain-Computer Interfaces. In 2015, he was awarded with a Consolidator Grant from the European Research Council. In May 2017 he received the Ludwig-Guttman Award from the German Medical Spinal Cord Injury Association (DMGP). In May 2018 he was elected to the Board of Directors of the International BCI Society. He is founding member and scientific Co-Director of the NeuroIS Society.
Professor Ichiro Sakuma received the B.S., the M.S., and Ph.D. degrees in precision engineering from the University of Tokyo, in 1982, 1984, and 1989, respectively. He was an Associate Professor at the Department of Applied Electronic Engineering, Tokyo Denki University, Saitama, Japan, from 1991 to 1999. He was research instructor at Department of Surgery, Baylor College of Medicine, Houston, Texas from 1990 to 1991. He was an Associate Professor and a Professor of Graduate School of Frontier Sciences, The University of Tokyo, from 1999 to 2006. He is currently a Professor of Medical Device Development and Regulation Research Center, Department of Bioengineering, and Department of Precision Engineering, School of Engineering, and the Director of Research Institute for Biomedical Science and Engineering at the University of Tokyo. His research interests include computer aided Surgery, medical devise for minimally invasive therapy, visualization and analysis of cardiac arrhythmia, and regulatory sciences for medical device development.
Professor Mohamad Sawan is currently a chair professor at Westlake University, China. He was previously a professor at Polytechnique Montreal. He was the Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems, and is an Associate Editor of the IEEE Transactions on Biomedical Engineering and of several other international Journals. He served as Conference Chair of Annual International Conference of IEEE EMBS in 2019. He is also a member of the Board of Governors of IEEE CAS Society. He is Fellow of the IEEE, the Canadian Academy of Engineering, and the Engineering Institute of Canada. Dr. Sawan has received several awards, including 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.
Professor Natalia Trayanova is 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 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 AIMBE. Her basic science research focuses on understanding the pathological electrophysiological and electromechanical behavior of the heart. Her work also has a strong translational component, which centers on improving the diagnosis and treatment of cardiovascular disease. She has received a number of awards 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.
Professor 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 International Academy of Medical and Biological Engineering, IEEE and AIMBE. Her research is in Biomedical Big Data Analytics with a focus on Biomedical and Health Informatics (BHI) for predictive, personalized, and precision health (pHealth). 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, and an Associate Editor for TBME. 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.
Professor Geng Yang received the B.Eng. and M.Sc. degrees in instrument science and engineering from the College of Biomedical Engineering and Instrument Science, Zhejiang University (ZJU), Hangzhou, China, in 2003 and 2006, respectively, and the Ph.D. degree in electronic and computer systems from the Royal Institute of Technology (KTH), Stockholm, Sweden, in 2013. From 2013 to 2015, he was a Postdoctoral Researcher with the iPack VINN Excellence Center, the School of Information and Communication Technology, KTH. He has been selected as National Distinguished Young Talents of China since 2016. Currently he is a Full Professor and Vice Dean of the School of Mechanical Engineering, Zhejiang University, China. He is an Associate Editor of IEEE Journal of Biomedical and Health Informatics, and an Associate Editor of Bio-Design and Manufacturing. His research interests include hybrid integration of flexible circuits & sensors, bio-inspired flexible and stretchable sensors for robot sensing and human-robot interaction, as well as key enabling technologies for Human-Cyber-Physical-System and Healthcare4.0.
Siyang Zheng is a Professor of Biomedical Engineering and Electrical and Computer Engineering at Carnegie Mellon University. He received his Ph.D. in electrical engineering from California Institute of technology. His primary research focus revolves around advancing micro/nano technologies to facilitate crucial biomedical applications and pioneer next-generation healthcare solutions. His research operates at the intersection of materials, devices, and medicine. Previously, Professor Zheng has made significant contributions in the development of technologies for isolating and analyzing circulating tumor cells, for which he received NIH Director’s New Innovator Award in 2012. Currently, his research spans diverse and compelling areas, including investigating the biological mechanisms, diagnostic capabilities and therapeutic potentials of extracellular vesicles, exploring the use of nanomaterials and nanomaterial-integrated devices for clinical applications, and developing organ-on-chip platforms.