Expertise: Image-based mechanics, Cardiovascular Imaging, MRI of flow and motion, Biomedical Image Analysis
Dr. Amir Amini is Professor and Endowed Chair in Bioimaging at the University of Louisville. He received the B.S. degree with high honors from the University of Massachusetts at Amherst in 1983, where at 18 he was the youngest member of his graduating class, and the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1984 and 1990, respectively. His prior faculty appointments were at Yale (1992–1996) and Washington University in St. Louis (1996–2006). Dr. Amini received the National Institutes of Health FIRST Award in 1998 and University of Louisville Faculty Favorite Award in 2009 and 2011 for his course on medical imaging. He served as the chair of SPIE Medical Imaging Conference on Physiology, Function, and Structure from Medical Images between 2002-2006 and co-chaired the SPIE Medical Imaging Symposium in 2007. He is a Distinguished Lecturer of EMBS and a Fellow of the IEEE. Dr. Amini has been on the editorial board of IEEE Transactions On Medical Imaging since 1999 and the editorial board of Elsevier’s journal of Computerized Medical Imaging and Graphics since 2012.
Expertise: EEG, fMRI, MEG, Cognitive neuroscience, machine learning, connectivity, brain mapping, brain computer interface
Dr. Fabio Babiloni is currently professor of Physiology at the Faculty of Medicine of the University of Rome “La Sapienza”, Rome, Italy. He is also professor of Biomedical Engineering. He is author of 250 papers on bioengineering and neurophysiological topics on international peer-reviewed scientific journals, and more than 250 contributions to conferences and books chapters, having an H-index of 64. Prof. Babiloni is Associate Editor of “IEEE Trans. On Neural System and Rehabilitation Engineering”, “IEEE Trans. On Biomedical Engineering”, and coeditor in chief of the “International Journal of Bioelectromagnetism”. Since 2007 is IEEE-EMBS Conference Editor and for 2012-2018 was in the advisory committee of the IEEE-EMBS. His interests are in the area of applied cognitive neuroscience.
Expertise: electroencephalography (EEG), epilepsy, brain computer interface (BCI), electrodes, neuromodulation, electrical stimulation
Dr. Besio is a Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). Dr. Besio received his M.S. and Ph.D. degrees in biomedical engineering from the University of Miami and a B.S. in electrical engineering from the University of Central Florida. Prior to joining academia, Dr. Besio worked 12+ years in the biomedical device and electronics industries. Dr. Besio specializes in research to develop innovative biomedical instrumentation for diagnosis and therapies for enhancing the lives of persons with neurological disease and disability. This work involves unique patented concentric electrodes for neuromodulation and brain computer interfacing (bidirectional). Dr. Besio is a co-founder of the URI Interdisciplinary Neuroscience Program that spawned the new Ryan Institute for Neuroscience with a gift. He is an Institute for Electrical and Electronics Engineers (IEEE) Senior Member, IEEE Engineering in Medicine and Biology Society (EMBS) (representative to TBioCAS and BioCAS, past EMBS Sensors Council representative, past Vice President of Finance, past North American Administrative Committee Member, past Wearable Biomedical Sensors and Systems Technical Committee Chair, past Chair Providence Chapter, and Faculty Advisor URI Student Chapter), and an active member of the American Epilepsy Society (Technical Committee). Dr. Besio has also developed intellectual property that forms the basis for his medical device startup company CREmedical Corporation. Dr. Besio is passionate about moving his research beyond the laboratory to help relieve disease, disability, pain, and suffering.
Expertise: phase contrast X-ray, machine learning, model observer, human observer, task-based image quality, mesoscopic optical imaging, advance image reconstruction, mesh modeling
Dr. Brankov is an Associate Professor of ECE and BME Departments at the Illinois Institute of Technology. His research interests include the development of image processing and analysis methods and novel imaging techniques for medical imaging, specifically: analyzer-based phase contrast X-ray mammography (ABI); agent-dependent early photon tomography (ADEPT); medical image quality assessment based on a human-observer model (using machine learning methods); 4D and 5D SPECT tomographic image reconstruction; and advanced medical imaging reconstruction methods including models based (iterative) as well as data driven (CNN). He established the Advance X-ray Imaging Laboratory (AXIL) at IIT, which is currently developing a phase-sensitive X-ray device. Dr Brankov has authored and co-authored more than 160 journal and proceeding papers. His is currently serving as: associate editor for Transactions on Biomedical Engineering (IEEE), Medical Physics (AAPM) and Journal of Medical Imaging (SPIE); program committee member for IEEE International Symposium on Biomedical Imaging and SPIE Image Perception conferences and member of BioImaging and Signal Processing (BISP) Technical Committee of the IEEE Signal Processing Society. In the past he served as: AE for Transactions on Medical Imaging (IEEE) and reviewer on a number of NIH panels.
Expertise: Biomedical Signal Processing, Cardiovascular & Respiratory Systems, Neuroscience and Neuroengineering, Computational Genomics and Proteomics, Biomedical Imaging, Medical Informatics, and Ethical Issues in Biomedical Engineering
Sergio Cerutti. Professor of Biomedical Engineering at the Department of Bioengineering, Politecnico di Milano, Italy. In the period 2000-2006 he has been the Chairman of the Department and currently he is the Chairman of the Programs of Biomedical Engineering. His research interests are mainly in the following topics: biomedical signal processing (ECG, blood pressure and respiration signals, cardiovascular variability signals, EEG and evoked potentials), neurosciences and cardiovascular modelling. In his research activity he has put emphasis on the integration of information at different modalities, at different sources and at different scales in various physiological systems. He is actually Fellow Member of IEEE, EAMBES and AIMBE. He has been Visiting Professor at Harvard-MIT Division Health Science and Technology, Boston, USA, for an overall period of one year as well as for a period of four months at IST – Department of Physics, Lisbon, Portugal. He is the Author of more than 500 international scientific contributions (more than 250 on indexed scientific journals). In 2009 he received the IEEE-EMBS Academic Career Achievement Award.
Expertise: Artificial pancreas, Fault detection and diagnosis, Adaptive control, Agent-based modeling of biosystems
Ali Cinar received the Ph.D. degree in chemical engineering from Texas A&M University, College Station, TX, USA. He is Professor of Chemical Engineering and Biomedical Engineering at the Illinois Institute of Technology, Chicago, IL, USA, and since 2004, he has been the Director of the Engineering Center for Diabetes Research and Education. He has a Research Associate (Professor) appointment at the University of Chicago (Section of Endocrinology, Diabetes, and Metabolism). His current research interests include multivariable fault detection and diagnosis, and adaptive control techniques for artificial pancreas systems for patients with diabetes, agent-based techniques for modeling, supervision, and control of complex and distributed systems, and modeling of diabetes, angiogenesis and tissue formation. He has published two books, and over 200 technical papers in refereed journals and conference proceedings. Dr. Cinar is a senior member of the IEEE, a fellow of the AIChE, and a member of BMES, ADA and TERMIS.
Expertise: Gastrointestinal endoscopy; Capsule, endoluminal, & mechatronic robots; Teleoperated & autonomous medical platforms, Catheters, Microbiota, Microbiome.
Gastone Ciuti is Associate Professor of Bioengineering at Scuola Superiore Sant’Anna. He received the M.Sc. degree in Biomedical Engineering from the University of Pisa in 2008 and the Ph.D. degree in Biorobotics from the Scuola Superiore Sant’Anna (Pisa, Italy) in 2011. His research interests include robot/computer-assisted platforms, such as tele-operated and autonomous magnetic-based robotic platforms for navigation, localization and tracking of smart mechatronic devices in guided and targeted minimally invasive surgical and diagnostic applications, e.g. advanced capsule endoscopy. He is the co-author of more than 100 international peer reviewed papers on computer-integrated platforms for medical robotics and the inventor of more than 15 patents on this topic. He is Associate Editor of the IEEE Journal of Bioengineering and Health Informatics (IEEE J-BHI) and of the Journal of Micro-Bio Robotics (JMBR, Springer). He is Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) society and Member of the Technical Committee in BioRobotics of the IEEE Engineering in Medicine and Biology Society (EMBS).
Expertise: modeling & identification of metabolic systems; glucose system; insulin action; insulin secretion; minimal models; simulation models; compartmental models; tracer kinetics; diabetes; artificial pancreas; glucose sensors modeling.
Claudio Cobelli is Full Professor of Biomedical Engineering, University of Padova, Italy. He has been Chairman of Graduate Program in Biomedical Engineering (2000-2009) and Ph.D. Program in Bioengineering (200-2011), University of Padova. His main research activity is in modeling and identification of physiological systems, especially metabolic systems. His research is supported by NIH, JDRF and European Comunity. He has published 450 papers in internationally refereed journals, co-author of 8 books and holds 11 patents. He is Associate Editor Journal of Diabetes Science & Technology. He is on the Editorial Board of Diabetes and Diabetes Technology & Therapeutics. Dr. Cobelli has been Chairman (1999-2004) of Italian Bioengineering Group; Chairman (1990-1993 & 1993-1996) of IFAC TC on Modeling and Control of Biomedical Systems, and member of IEEE EMBS AdCom Member (2008-2009). In 2010 he received the Diabetes Technology Artificial Pancreas Research Award. He is Fellow of IEEE, BMES and EAMBES.
Expertise: Brain-computer interfaces, flexible bio-electronics, neurophysiological sensors
Todd P. Coleman (S’01–M’05–SM’11) received the B.S. degrees in electrical engineering (summa cum laude) as well as computer engineering (summa cum laude) from the University of Michigan, Ann Arbor, in 2000. He received the M.S. and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology (MIT), Cambridge, in 2002, and 2005. He was a postdoctoral scholar in neuroscience at MIT during the 2005-2006 academic year. He was an Assistant Professor in ECE and Neuroscience at the University of Illinois from 2006-2011. Dr. Coleman is currently an Associate Professor in Bioengineering and director of the Neural Interaction Laboratory at UCSD, where his group builds flexible bio-electronics for neurological monitoring applications. His research is highly inter-disciplinary and lies at the intersection of bio-electronics, neuroscience, medicine, and applied mathematics. Dr. Coleman is a science advisor for the Science & Entertainment Exchange (National Academy of Sciences).
Expertise: Dielectrophoresis, Electroporation, Bioimpedance, Surgical Oncology, Microfluidics, Biotransport
Rafael V. Davalos is the L. Preston Wade Professor in the Virginia Tech – Wake Forest University School of Biomedical Engineering and Sciences and Department of Biomedical Engineering and Mechanics. He also holds Adjunct Appointments in Mechanical Engineering, the Wake Forest Comprehensive Cancer Center, and at the Wake Forest Institute of Regenerative Medicine. He serves on the editorial board for the ASME Journal of Medical Devices and IEEE Transactions on Biomedical Engineering. Dr. Davalos received his BS from Cornell University and his MS and PhD from the University of California, Berkeley. Prior to his career as a faculty member, Davalos was a Principal Member of Technical Staff at Sandia National Laboratories. In 2012, he received the award for the Most Outstanding Dissertation Advisor at Virginia Tech. In 2014, Dr. Davalos received the Virginia Tech ICTAS Innovator Award and the Innovator award at TechNite 2014. He has been the plenary speaker at the International Symposium on Bioelectrochemistry and Bioenergetics, 1st World Congress on Electroporation, and the Annual Meeting for the Society for Cryobiology. His invention for non-thermal ablation was listed in NASA Tech Briefs as one of the top 7 technological breakthroughs of ’07 and has been used to treat over 6000 people with cancer. He has over 95 peer-reviewed articles, 22 issued patents, 15 book chapters, and 8 journal/book covers with an h-index of 46. Dr. Davalos is the recipient of the 2006 HENAAC award for the Nation’s Most Promising Hispanic Engineer, the NSF CAREER, and was named a Wallace H. Coulter Fellow, an AIMBE Fellow, and an ASME Fellow.
Expertise: Neuroimaging, Medical Image Reconstruction, Brain-Computer Interface, Neuromodulation, Cognitive Engineering
Dr. Lei Ding received B.E. degree (honors) from Zhejiang University, China (2000), and Ph.D. degree (Graduate School Dissertation Fellow) from the University of Minnesota (2007), both in biomedical engineering. He is now Associate Professor at the School of Electrical and Computer Engineering and the Center for Biomedical Engineering of the University of Oklahoma. He is the recipient of the National Science Foundation CAREER Award, the only recipient of the New Scientist Award from OCAST at 2009, and is listed in Who’s Who in America since 2011. His research interests include medical imaging, functional neuroimaging, and neural engineering. He has published extensively in areas of medical imaging and neural engineering including IEEE transactions. He is the member of IEEE Engineering in Medicine and Biology Society since 2001 and is an active member in International Society of Bioelectromagnetism, Organization of Human Brain Mapping, and Society for Neuroscience.
Expertise: Biomedical Signal Processing, Neural Engineering, Biomechanics, Brain-Computer Interfacing, Neural Prostheses, Electromyography, Rehabilitation Technologies, Motor Control, Modelling, Electrophysiology
Dario Farina (IEEE Fellow) is currently Full Professor and the Chair in Neurorehabilitation Engineering at the Department of Bioengineering of Imperial College London, UK. He has previously been Full Professor at Aalborg University, Aalborg, Denmark, (until 2010) and at the University Medical Center Göttingen, Georg-August University, Germany, where he founded and directed the Department of Neurorehabilitation Systems (2010-2016). His research focuses on biomedical signal processing, neurorehabilitation technology, and neural control of movement. Within these areas, he has (co)-authored ~450 papers in peer-reviewed Journals, and over 500 among conference papers/abstracts, book chapters, and encyclopedia contributions. Among other awards, he has been the recipient of the 2010 EMBS Early Career Achievement Award and has received an Honorary Doctorate in Medicine by Aalborg University in 2018. Professor Farina has been the President of the International Society of Electrophysiology and Kinesiology (ISEK) (2012-2014) 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, and the Journal of Physiology. He is a Fellow IEEE, AIMBE, EAMBES, and ISEK.
Expertise: Computer-assisted surgery /computer-assisted interventions
Gabor Fichtinger obtained his BSc and MSc in Electrical Engineering, and Doctorate in Computer Science from the Technical University of Budapest, Hungary. He received postdoctoral training in high performance computing and biomedical visualization at the University of Texas at Austin. He joined the Center for Computer-Integrated Surgical Systems and Technologies at the Johns Hopkins University in 1998. He relocated to Queen’s University in 2007, where he is a Professor and Canada Research Chair (Tier-1) in Computer-Integrated Surgery. His research interest is computer-assisted surgery and interventions: a highly interdisciplinary field spanning over medical imaging, image computing, visualization, surgical planning, navigation, robotics, biosensors and, most importantly, integration of all these into workable clinical systems. He further specializes in image-guided needle-based interventions.
Expertise: Biomedical image analysis and computing; imaging and neuro informatics
James Gee, Ph.D., is Associate Professor of Radiologic Science and Computer and Information Science, Director of the the HHMI-NIBIB (Howard Hughes Medical Institute National Institutes of Biomedical Imaging and Bioengineering) Interfaces Program in Biomedical Imaging and Informational Sciences, and Co-Director of the Translational Biomedical Imaging Center of the Institute for Translational Medicine and Therapeutics, all at the University of Pennsylvania, Philadelphia. Dr. Gee’s interests are broadly in the field of biological and medical image analysis and computing. Toward this end, the group he directs, the Penn Image Computing and Science Laboratory (PICSL), conducts basic and applied research in mathematical, computational and statistical methods for extracting, analyzing and integrating information from imaging and ancillary data. Of particular interest to the lab are methods for detecting, quantifying and modeling the ways in which anatomy and physiology can vary in nature, over time, or as a consequence of disease or therapy. PICSL is well known internationally for its long track record of methodological innovation in nearly every area of the field and our commitment to translating research accomplishments into highly acclaimed open-source software – the lab’s ITK-SNAP, ANTS, DTI-TK and ITK software are consistently ranked as the best performing and most widely used applications in segmentation, registration, DTI analysis and morphometry. The group’s large portfolio of interdisciplinary collaborations spans different model systems and the major modalities in biological and medical imaging, in integrative studies of structure-function relationships of the eye, brain, breast, lung, heart and musculoskeletal system in health and disease.
Expertise: Brain-Computer Interfaces (BCI), Machine Learning, Biomedical Signal Processing
Cuntai Guan is a Professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is also the co-Director of Rehabilitation Research Institute of Singapore, and Principal Scientist at Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. His research interests are in the fields of Brain-Computer Interfaces, Neural Engineering, Machine Learning, and Neuro-technologies. He published over 280 refereed journal and conference papers and held 18 granted patents and applications. He licensed eight patents to USA and Singapore-based companies. He was a recipient of the inaugural Annual BCI Research Award in US, the 2009 IES Prestigious Engineering Achievement Award, Singapore, and winner of BCI Competitions. He is on the editorial boards of IEEE Transactions on Biomedical Engineering, Brain Computer Interfaces, Frontiers in Neuroscience, IEEE Access, and a Guest-Editor for the IEEE Computational Intelligence Magazine. He was in the International Program Committee of 8th IEEE EMBS Conference on Neural Engineering, 2013-2017; a Vice-Chair, Program Committee, International Conference on Real-time Functional Imaging and Neurofeedback, 2017; Conference Chair, Internet of Things (IoT) Asia Conference & Exhibition, 2015; and General Chair, IEEE 10th International Conference on e-Health Networking, Application & Services, 2008. He was the Chairman, IEEE Engineering in Medicine and Biology Chapter, Singapore Section, 2010-2012, and President, Pattern Recognition and Machine Intelligence Association, Singapore, 2008-2010.
Expertise: surgical robotic systems, automation of surgical robots, surgical skills assessment, patient models, virtual-reality simulators and regulatory science
Kanako Harada is an Associate Professor of the Department of Bioengineering and the Department of Mechanical Engineering, Graduate School of Engineering, The University of Tokyo, Japan. She obtained her M.Sc. in Engineering from The University of Tokyo in 2001, and her Ph.D. in Engineering from Waseda University in 2007. She worked for Hitachi Ltd., Japan Association for the Advancement of Medical Equipment, and Scuola Superiore Sant’Anna, Italy, before joining The University of Tokyo. She also served as a Program Manager for the ImPACT program of the Cabinet Office (2016 – 2019) and led more than 150 researchers and students. Her research interests include surgical robotic systems, automation of surgical robots, surgical skills assessment, patient models, virtual-reality simulators and regulatory science.
Expertise: Image-guided therapy, Surgical robotics, Interventional imaging and processing, Intraoperative sensing and imaging
Nobuhiko Hata is a Professor of Radiology, Brigham and Women’s Hospital and Harvard Medical School. He received his B.E. degree in precision machinery engineering from The University of Tokyo, Tokyo, Japan, and his M.E. as well as the Doctor of Engineering degrees both from The University of Tokyo, Tokyo, Japan. During his graduate program, he joined the Image Guided Therapy Program at Brigham and Women’s Hospital, where he currently leads a laboratory focused on surgical navigation and medical robotics. His major achievements include neurosurgical navigation combined with ultrasound imaging, intra-operative image processing, image-guided robot, capsule endoscope, and highly dexterous endoscopic robot. As a “biomedical engineer in a teaching hospital,” Dr. Hata’s research emphasis is on clinical translation of innovative biomedical methods and tools to operating rooms; his highly influential articles both in engineering and clinical domains further support Dr. Hata’s research emphasis.
Expertise: Computational medicine, cardiovascular system, respiratory system, cerebrospinal physiology, patient monitoring, modeling, estimation, critical care
Thomas Heldt is an Associate Professor of Electrical and Biomedical Engineering with the Institute for Medical Engineering & Science and the Department of Electrical Engineering & Computer Science at the Massachusetts Institute of Technology (MIT) where he directs the Integrative Neuromonitoring and Critical Care Informatics Group. His research interests focus on signal processing, mathematical modeling, and model identification to support real-time clinical decision making, monitoring of disease progression, and titration of therapy, primarily for cardiovascular, respiratory, and cerebrovascular applications. Dr. Heldt has served as IEEE EMBS Distinguished Lecturer and Chair of the IEEE EMBS Cardiopulmonary Systems Technical Committee. He is currently serving on the IEEE EMBS Conference Student Paper Competition Committee and also as the co-Chair of the conference’s Cardiovascular and Respiratory Systems Engineering Theme.
Expertise: ultrasound imaging and drug delivery
John A. Hossack obtained B.Eng (1986) and Ph.D. (1990) from the University of Strathclyde, Glasgow UK. During the period 1990-1992, he was a post-doctoral researcher at the E. L. Ginzton Laboratory at Stanford University. His early research involved the modeling and design composite piezoelectric ceramic / epoxy transducers. Subsequently, at Acuson (a medical ultrasonic imaging equipment manufacturer in Mountain View, CA), he made contributions in the fields of transducer design, beamforming, 3D imaging methods and image quantification / processing. Since joining the University of Virginia (Associate Professor 2000-2009, Professor 2009-), he been working on 2D transducer arrays for low-cost handheld ultrasound imaging, mouse heart imaging, molecular imaging using targeted ultrasound contrast agents and developing catheters with a dual imaging and drug delivery capability for a variety of cardiovascular related applications. Very recently, he has been performing research involving photoacoustic and fluorescent signal detection catheters
Expertise: biophotonics; nanobiophotonics; laser medicine; optical diagnostics and therapeutics; optical biosensing and bioimaging
Dr. Ilko Ilev has over 25 years of experience in the United States, Europe, and Japan in the field of biophotonics, nanobiophotonics, laser medicine, biomedical optics, and laser safety. He received M.S. and Ph.D. degrees in Laser Physics from Sofia University and Technical University, Bulgaria. Dr. Ilev was with the Strathclyde University, Glasgow, UK, and Institute of Physical and Chemical Research (RIKEN), Tokyo, Japan. Since 1998 he has been with the Center for Devices and Radiological Health at U.S. Food and Drug Administration (FDA) where he chairs the Optical Therapeutics and Medical Nanophotonics Laboratory. In 2012, he was appointed to the DHHS/FDA Senior Biomedical Research Service (SBRS) Scientist. Dr. Ilev is also an Adjunct Professor in the University of Maryland. He has published more than 425 papers in peer-reviewed journals and proceedings. Along with multiple original publications, he holds 12 patents. Dr. Ilev has served as Biophotonics Committee Chair of the IEEE Photonics Society and IEEE LEOS-Lasers and Electro-Optics Society. He has organized and chaired numerous international conferences on biophotonics and nanobiophotonics within the IEEE Photonics Society, Optical Society of America (OSA), International Society for Optics and Photonics (SPIE), American Society for Laser Medicine and Surgery (ASLMS), and IEEE Engineering in Medicine and Biology Society (EMBS). He serves as Primary Editor of the IEEE Journal of Selected Topics in Quantum Electronics (JSTQE) on Biophotonics and Nanobiophotonics, and on Editorial Board of Journal of Biomedical Optics (JBO) and IEEE Photonics Journal. Dr. Ilev is an elected Fellow of IEEE, OSA, SPIE, and ASLMS.
Expertise: Wearable sensing, non-invasive physiological monitoring, cardiovascular systems, digital health, mobile health
Omer T. Inan is Associate Professor of Electrical and Computer Engineering and Adjunct Associate Professor of Biomedical Engineering at Georgia Tech. He received his BS, MS, and PhD in Electrical Engineering from Stanford in 2004, 2005, and 2009, respectively. From 2009-2013, he was the Chief Engineer at Countryman Associates, Inc., a professional audio manufacturer of miniature microphones and high-end audio products for Broadway theaters, theme parks, and broadcast networks. His research focuses on non-invasive physiological sensing and modulation for human health and performance. He has published more than 230 technical articles in peer-reviewed international journals and conferences and has seven issued patents. He has received several major awards for his research including the NSF CAREER award, the ONR Young Investigator award, and the IEEE Sensors Council Young Professional award. He received an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences (Oscars) in 2021. While at Stanford as an undergraduate, he was the school record holder and a three-time NCAA All-American in the discus throw.
Expertise: Implantable medical devices, neuroengineering, epilepsy, circuits, telemetry, powering, packaging
Dr. Irazoqui received his B.Sc. and M.Sc. degrees in Electrical Engineering from the University of New Hampshire, Durham in 1997 and 1999 respectively, and the Ph.D. in Neuroengineering from the University of California at Los Angeles in 2003 for work on the design, manufacture, and packaging, of implantable integrated-circuits for wireless neural recording. Currently he is an associate professor in the Weldon School of Biomedical Engineering and the School of Electrical and Computer Engineering at Purdue University. He is the Director of the Center for Implantable Devices working towards clinical treatment of physiological disorders, using miniature, wireless, implantable systems. Specific research and clinical applications explored in the center include: epilepsy, addiction, glaucoma, heart failure, and neural control of prostheses. He has received numerous teaching, service, and research awards, and has been serving as Associate Editor of IEEE Transactions on Biomedical Engineering since late 2006.
Expertise: Magnetic Resonance Imaging, Image reconstruction, Parallel imaging and transmission, Imaging biomarker kinetics and quantification, Biomedical image analysis, Image registration, Image classification
Ji received his B.S. and M.S. degrees from Tsinghua University and his Ph.D. degree from University of Illinois at Urbana Champaign, all in Electrical Engineering. He is currently an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University. His research interests include high-speed MRI, quantitative biomedical image processing, and their applications in cancer, neural and cardiac applications. His recent work is focused on positive contrast MRI for interventional MRI, MRI with large arrays and compressive sensing MRI.
Ji received the Zhongwang Outstanding Graduate Prize from Tsinghua University in 1997, the Sundaram Seshu Fellowship from UIUC in 2001, the Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF) in 2008, and the Distinguished Lecturer Award from Oversea Chinese Society of Magnetic Resonance in Medicine in 2018. He serves regularly as an ad-hoc member on NIH and NSF grant review panels, and associate editors of IEEE Transactions on Biomedical Engineering and Quantitative Imaging in Medicine and Surgery. He is senior member of the IEEE.
Expertise: Neuromechanics, motor control, neurorehabilitation and soft robotics
Dr. Derek Kamper is an Associate Professor in the Joint Department of Biomedical Engineering at North Carolina State University and the University of North Carolina at Chapel Hill and Associate Director of the Closed-Loop Engineering for Advanced Rehabilitation core. He received an A.B. degree and a B.E. degree in electrical engineering from Dartmouth College and M.S. and Ph.D. degrees in biomedical engineering from Ohio State University. His research interests focus on the neuromechanics of the upper extremity and the restoration of upper extremity function following neurological injury. Studies of biomechanics and motor control are undertaken with the goal of identifying impairment mechanisms in individuals following neurological damage. Knowledge of these mechanisms guides the development of novel interventions, including virtual reality and soft exoskeletons. Dr. Kamper is an Associate Editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering.
Expertise: analog/power-management integrated circuits, wireless implantable medical devices, neural interfaces, ultrasound power-transfer/neuromodulation/imaging, and assistive technologies
Mehdi Kiani received the B.S. degree from Shiraz University, Shiraz, Iran, and the M.S. degree from Sharif University of Technology, Tehran, Iran, in 2005 and 2008, respectively. He received the Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology in 2014. He joined the faculty of the School of Electrical Engineering and Computer Science at the Pennsylvania State University in August 2014. Kiani’s research interests are in the multidisciplinary areas of analog, mixed-signal, and power-management integrated circuits, wireless implantable medical devices, neural interfaces, and assistive technologies. In particular, Kiani’s group is focused on using ultrasound to enable wireless implantable technologies for large-scale interfacing with the nervous system, as well as efficient power/data transfer and energy harvesting. Kiani has published several IEEE peer-reviewed conference and journal papers.
Expertise: BioMEMS, Neuroprosthetic devices, Micro/nanosensors, Biomedical microelectronics, and Microsystem integration and packaging
Dr. Wen Li received the B.S. degree in material science and engineering from Tsinghua University, Beijing, and the M.S. and Ph.D. degrees both in electrical engineering from California Institute of Technology, Pasadena, in 2004 and 2008, respectively. Dr. Wen Li is currently an Associate Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering, and the Associate Chair for Space Management, Public Relations and Special Initiatives Announcement in the Department of Electrical and Computer Engineering at Michigan State University, East Lansing. Her research interests include bioMEMS, neuroprosthetic devices, micro/nanosensors, biomedical microelectronics, polymer microfabrication process development, and microsystem integration and packaging technologies. Dr. Li is the recipient of the NSF CAREER Award (2011), the Best Application Paper Award at 3M-NANO (2011), and the Best Paper Award at International Neurotechnology Consortium (2013). She is a member of the technical program committee or a session chair for a number of professional conferences, including IEEE EMBS Wearable Biomedical Sensors and Systems Technical Committee, IEEE MEMS, 3M-NANO, IEEE NANO, IEEE NEMS, IEEE BioCAS, and IEEE SENSORS. She serves as an associate editor of Micro & Nano Letters and an expert reviewer for over 40 premiere journals and 10 refereed conferences in the fields of MEMS and Microfluidics, Biomedical Engineering, Neural Engineering, and Nanotechnology. She is a senior member of the IEEE, and a member of the American Chemical Society (ACS), IEEE Engineering in Medicine and Biology Society (IEEE-BMES), Biomedical Engineering Society, and IEEE Eta Kappa Nu Honor Society (IEEE-HKN).
Expertise: bioinformatics; systems biology; cell and tissue pattern modeling; stochastic networks
Jie Liang is the Richard and Loan Hill professor in the Department of Bioengineering at the University of Illinois at Chicago. He received his B.S. degree from Fudan University in 1986, MCS and Ph.D. in Biophysics from the University of Illinois at Urbana-Champaign in 1994. He was an NSF CISE research associate (1994-1996) at the Beckman Institute and National Center for Supercomputing and its Applications (NCSA), Urbana, IL. He was a fellow at the NSF Institute of Mathematics and Applications at Minneapolis in 1996. He was an Investigator at SmithKline Beecham Pharmaceuticals during 1997-1999. He joined UIC in 1999 as an assistant professor and became a full professor in 2007. He was a recipient of the NSF CAREER award in 2003. He was elected as a fellow of the American Institue of Medicine and Biological Engineering in 2007. He was a University Scholar from 2010-2012.
Expertise: medical image analysis, computer-aided diagnosis, pediatric imaging, computational anatomy
Marius George Linguraru, DPhil MA MSc loves working with multidisciplinary teams of clinicians, scientists and engineers to help children grow healthy and happy. He is Principal Investigator in the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Health System in Washington, DC, where he founded and directs the Quantitative Imaging Group. Dr. Linguraru is also Associate Professor of Radiology and Pediatrics and Secondary Professor of Biomedical Engineering at George Washington University. He co-founded PediaMetrix LLC, a company focused on infant well-being by creating solutions to improve the management of conditions of early childhood. He joined the Sheikh Zayed Institute from the National Institutes of Health Clinical Center, where he maintains an appointment as Associate Investigator. He completed his doctorate at the University of Oxford and holds masters degrees in science and in arts from the University of Sibiu. He held fellowships at the French National Institute of Research in Computer Science and at Harvard University.
Dr. Linguraru is a Distinguished Lecturer of the IEEE Engineering in Medicine and Biology Society and a member of the Technical Directors Board Committee of the IEEE Signal Processing Society. He is the recipient of numerous awards, including a prize for Excellence in Engineering by a Younger Engineer at the Houses of Parliament in London, UK. He is the General Chair of the IEEE International Symposium on Biomedical Imaging 2019 in Venice, Italy.
Expertise: magnetic resonance imaging, computational neuroscience, neuromodulation, neural signal processing, bioelectric medicine
Zhongming Liu is an Associate Professor of Biomedical Engineering, Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He received his B.S. and M.S. degrees in Electrical Engineering from Zhejiang University in China and received his Ph.D. degree in Biomedical Engineering from the University of Minnesota in USA. He further received postdoctoral training in magnetic resonance imaging and neural engineering at the National Institutes of Health. His primary expertise and interest is developing and combining advanced techniques for imaging, recording, stimulating and modeling the brain to accelerate progress in neuroscience and artificial intelligence.
Expertise: Brain-Computer Interfaces, EEG signal processing, Physiological Computing, Neuroergonomics, Machine Learning
Dr. Lotte is a Research Director at Inria Bordeaux Sud-Ouest, in France. He obtained a M.Sc.(2005), M.Eng.(2005) and Ph.D.(2008) degree in computer sciences, from the National Institute of Applied Sciences (INSA) Rennes, France, He was a research fellow at the Institute for Infocomm Research (I2R) in Singapore 2009-2010), and a Research Scientist (with tenure) at Inria Bordeaux Sud-Ouest, France (2011-2019). His research interests include Brain-Computer Interfaces (BCI), human-computer interaction, pattern recognition and brain signal processing. He is part of the editorial boards of the journals Brain-Computer Interfaces (since 2016), Journal of Neural Engineering (since 2016) and IEEE Transactions on Biomedical Engineering (since 2021). He is co-specialty chief editor of the journal Frontiers in Neuroergonomics: Neurotechnologies and System Neuroergonomics, which he co-founded in 2020. He co-edited numerous books on BCI. In 2016, he was the recipient of an ERC Starting Grant, the most prestigious research grant in Europe, to develop his research on BCI.
Expertise: microwave tomography – breast and bone applications, transmission-based dielectric probes, microwave and ultrasound thermal therapy, microwave temperature monitoring
Paul M. Meaney (M’91–SM’11) received A.B. degrees in electrical engineering and computer science from Brown University, Providence, RI, USA, in 1982; the Masters degree in microwave engineering from the University of Massachusetts, Amherst, MA, USA, in 1985; and the Ph.D. degree in biomedical engineering from Dartmouth College, Hanover, NH, USA, in 1995. He was involved in the millimeter-wave industry with Millitech Corporation, Northampton, MA, and Alpha Industries, Woburn, MA from 1985 thru 1991. He spent two years as a Postdoctoral Fellow, including one year at the Royal Marsden Hospital, Sutton, U.K. He has been a Professor at Dartmouth College since 1997 and is also the President of Microwave Imaging System Technologies, Inc., Hanover, which he cofounded with Dr. Keith Paulsen in 1995. He is also a Professor in the Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden. The Dartmouth group has authored several clinical studies in various settings, including breast cancer diagnosis, breast cancer chemotherapy monitoring, bone density imaging, and temperature monitoring during thermal therapy. He has also explored various commercial spin-off concepts, such as detecting explosive liquids and noninvasively testing whether a bottle of wine has gone bad. He has coauthored more than 75 peer-reviewed journal papers, co-written one textbook, presented numerous invited papers related to microwave imaging, holds 13 patents and is a Fellow of the IEEE. His current research interests include microwave tomography, which exploits the many facets of dielectric properties in tissue and other media, and also includes breast cancer imaging, where his group was the first to translate an actual system into the clinic. He is also exploring dielectric sensors for rehabilitation and surgical applications.
Expertise: Cardiovascular system, sensing, signal processing, modeling, patient monitoring
Ramakrishna Mukkamala is a Professor of Bioengineering and Anesthesiology and Perioperative Medicine at the University of Pittsburgh. He is an MIT-trained biomedical engineer. He has been a dedicated cardiovascular researcher throughout his career. His specific interests are in computational physiology; medical devices; mHealth; patient monitoring; physiologic sensors; physiological signal processing; and animal, human, and patient studies. He has focused on hemodynamic monitoring and translational research. Dr. Mukkamala has been the Cardiovascular and Respiratory Systems Engineering Editor for the IEEE EMBS Conference Proceedings and is the Vice-Chair/Chair-Elect of the IEEE EMBS Technical Committee on Cardiopulmonary Systems.
Expertise: Brain Computer Interfacing, Machine Learning, Neuroimaging
KLAUS-ROBERT MÜLLER has been Professor for Computer Science at TU Berlin since 2006; at the same time he is directing the Bernstein Focus on Neurotechnology Berlin. He studied physics in Karlsruhe from 1984-89 and obtained his PhD in Computer Science at TU Karlsruhe in 1992. After a PostDoc at GMD-FIRST, Berlin, he was a Research Fellow at University of Tokyo from 1994-1995. From 1995 he built up the Intelligent Data Analysis (IDA) group at GMD-FIRST (later Fraunhofer FIRST) and directed it until 2008. 1999-2006 he was a Professor at University of Potsdam. In 1999, he was awarded the Olympus Prize by the German Pattern Recognition Society, DAGM and in 2006 he received the SEL Alcatel Communication Award. In 2012 he was elected to be a member of the German National Academy of Sciences – Leopoldina. His research interests are intelligent data analysis, machine learning, signal processing and Brain Computer Interfaces.
Expertise: Brain-Computer Interfaces, EEG-based Neuroprosthesis control, biosignal processing
Assoc. Prof. Dipl.-Ing. Dr. techn. Gernot Müller-Putz is head of the Institute for Knowledge Discovery and its associated BCI Lab. He received his MSc in electrical and biomedical engineering in 2000, his PhD in electrical engineering in 2004 and his habilitation and “venia docendi” in medical informatics from Graz University of Technoloy in 2008.
He has gained extensive experience in the field of biosignal analysis, brain-computer interface research, EEG-based neuroprosthesis control, communication with BCI in patients with disorders of consciousness, hybrid BCI systems, the human somatosensory system, and BCI s in assistive technology over the past 14 years. He has also managed several national projects and international projects and is currently partner in 2 EU FP7 projects (BackHome, ABC) and coordinator of the EU project BNCI Horizon 2020. Furthermore, he organized and hosted five international Brain-Computer Interface Conferences over the last 10 years in Graz, currently prepraring the 6th Conference in Sept. 2014. He is also steering board member for the International BCI Meeting, which takes place in the US usually every three years (last time in 2013). He has authored more than 100 peer reviewed publications and more than 100 contributions to conferences.
Expertise: Bioelectromagnetic interactions, mobile healthcare, medical imaging, diabetes modeling
Konstantina S. Nikita received the Diploma in Electrical Engineering and the Ph.D. degree from the National Technical University of Athens (NTUA), and the M.D. degree from the Medical School, University of Athens. In 1996, she joined the Faculty of Electrical Engineering at the NTUA, where she is currently Professor and Deputy Head. Her current research interests include biological effects and medical applications of radiofrequency electromagnetic fields, simulation of physiological systems, biomedical signal and image processing and analysis, and biomedical informatics. Dr. Nikita has authored or edited 8 books, and authored or co-authored 160 journal papers and book chapters, and over 300 papers in international conference proceedings. She holds two patents. She is Associate Editor of the ΙΕΕΕ Transactions on Biomedical Engineering and the Biolectromagnetics Journal and guest editor of several international journals. Dr. Nikita has been the recipient of various honors/awards, among which, the Bodossakis Foundation Academic Prize for exceptional achievements in “Theory and Applications of Information Technology in Medicine” (2003). Dr. Nikita is the Founding Chair and Ambassador of the ΙΕΕΕ EMBS Greece chapter, Vice Chair of the IEEE Greece Section, and member of the IEEE EMBS Education Committee. She is also a Founding Fellow of the European Alliance for Medical and Biological Engineering and Science (EAMBES).
Expertise: Ultrasound, Ultrasonic therapy, ultrasonic imaging, ultrasonic communications, ultrasonic bioeffects, ultrasound device development, beamforming, inverse scattering.
Professor Oelze was born in Hamilton, New Zealand in 1971. He earned a B.S. in Physics and Mathematics (1994, Harding University) and Ph.D. in Physics (2000, University of Mississippi). From 2000 to 2002 Dr. Oelze served as a post-doc in the Department of Electrical and Computer Engineering (ECE) inside the Bioacoustics Research Laboratory at the University of Illinois at Urbana-Champaign (UIUC). From 2002 to 2004, Dr. Oelze was a NIH fellow conducting research in quantitative ultrasound techniques for biomedical ultrasound applications in cancer detection. Dr. Oelze joined the faculty of ECE at the UIUC in 2005 and continues to serve as a professor and Associate Head for Graduate Affairs. He is a professor in the Carle Illinois College of Medicine. His research interests include biomedical ultrasound, quantitative ultrasound imaging for improving cancer diagnostics and monitoring therapy response, ultrasound bioeffects, ultrasound tomography techniques, ultrasound-based therapy, beamforming and applications of coded excitation to ultrasonic imaging. Currently, Dr. Oelze is a fellow of the AIUM, a senior member of the IEEE, and a member of ASA. He is a member of the Technical Program Committee of the IEEE Ultrasonics Symposium. He currently serves as an associate editor of IEEE Transactions on Ultrasonic, Ferroelectrics, and Frequency Control, associate editor of Ultrasonic Imaging and associate editor for IEEE Transactions on Biomedical Engineering.
Expertise: Neurorehabilitation through novel interfaces; Automatic feedback control theory; Dynamics and simulation; Optimization; Mechatronics and haptic development; Human-machine interfaces; Robotic
James L. Patton received BS degrees in mechanical engineering and engineering science from the University of Michigan in 1989, MS degree in theoretical mechanics from Michigan State, in 1993, and the PhD degree in biomedical engineering from Northwestern University in 1998. He is Professor of Bioengineering at University of Illinois at Chicago, and a senior research scientist at the Shirley Ryan AbilityLab. He worked in automotive manufacturing and in nuclear medicine before discovering the control of human movement. His general interests involve robotic teaching, dynamic balance control, haptics, modeling of the human-machine interface, and robot-facilitated recovery from a brain injury. Patton is vice president of IEEE-EMB society, and editor in chief of the Proceedings of the Engineering in Medicine and Biology.
Expertise: Biosignal processing, sleep research, sleep medicine, cardiovascular regulation
Dr. Thomas Penzel graduated from physics (1986), human biology (1991), and physiology (1995) at the University Marburg, Germany. He holds certificates for sleep medicine and medical informatics. He was with the University of Marburg from 1982 until 2006 and moved to Charite University Hospital, Berlin and serves as scientific director of the sleep center. He received the Bial award for clinical medicine in Portugal, the Bill Gruen Award for Innovations in Sleep Research the distinguished development award by the Chinese sleep research society. He holds several board functions at national and international societies on sleep medicine and biomedical engineering. He authored more than 250 papers listed in Pubmed. He is an editorial board member on journals in sleep research and biomedical engineering. His research focus is on new methods in sleep recording and cardiovascular consequences of sleep disorders. He is a IEEE EMBS senior member.
Expertise: noninvasive brain stimulation, transcranial magnetic stimulation, electroconvulsive therapy, electric field model, power electronics
Angel V. Peterchev received the A.B. degree in physics and engineering sciences from Harvard University and the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley. He completed post-doctoral training at Columbia University, and is presently Associate Professor at Duke University in the departments of Psychiatry & Behavioral Sciences, Biomedical Engineering, and Electrical & Computer Engineering. He directs the Brain Stimulation Engineering Lab which aims to improve noninvasive brain stimulation technology and paradigms such as transcranial magnetic stimulation (TMS) and transcranial electric stimulation (TES) based on insights from electrical engineering, biophysics, neuroscience, and psychiatry. Dr. Peterchev’s contributions span power electronic circuits for biomedical and energy applications, TMS devices with controllable pulse parameters, models and analysis of the spatial activation properties of TMS and TES, and rational dosing approaches based on in vivo studies exploring the relationship between stimulation parameters and physiological response.
Expertise: Prosthetics, exoskeletons, wearable robotics, locomotion modeling, locomotion biomechanics, joint impedance
Elliott Rouse is an Assistant Professor in the Department of Mechanical Engineering and a Core Faculty Member in the Robotics Institute at the University of Michigan. He directs the Neurobionics Lab, whose vision is to reverse engineer how the nervous system regulates the mechanics of locomotion, and use this information to develop better wearable robotic technologies. He is the recipient of the 2018 NSF CAREER award, and is a member of the IEEE EMBS Technical Committee on Biorobotics. In addition, he is on the Editorial Boards for IEEE Robotics and Automation Letters, as well as IEEE Transactions on Biomedical Engineering. Elliott received the BS degree in mechanical engineering from The Ohio State University and the PhD degree in biomedical engineering from Northwestern University. Subsequently, he joined the Massachusetts Institute of Technology as a Postdoctoral Fellow in the MIT Media Lab. In 2019 – 2020, Elliott was a visiting faculty member at (Google) X in California. Elliott and his research have been featured at TED, on the Discovery Channel, CNN, National Public Radio, Wired Magazine UK, and Business Insider.
Expertise: Structural imaging, bone imaging, pulmonary imaging, image segmentation, filtering, registration, multi-scale imaging
Punam Kumar Saha obtained his Ph.D. degree in 1997 from the Indian Statistical Institute, which he joined as a faculty member in 1993. Currently, he is an Associate Professor in Departments of ECE and Radiology, University of Iowa and directs the Structural Imaging Laboratory. His research interests include image processing, segmentation and analyses, trabecular bone imaging, quantitative structural assessment in medical imaging. He has published over 80 papers in international journals and over 250 papers/abstracts in international conferences. He received a Young Scientist award from the Indian Science Congress Association in 1996. He has served as an associate editor for Pattern Recognition and Computerized Medical Imaging and Graphics journals; currently, he is an Associate Editor of IEEE Transactions on Biomedical Engineering. He has served as a program committee member for several international conferences. He has received several grant awards from the National Institute of Health, USA.
Expertise: Brain-machine interfaces, biomedical signal processing, neuromuscular electrical stimulation, Neuro-prosthetics, sensors and sensor interfaces and networks, Lab-on-chip platforms
Mohamad Sawan (S’88–M’89–SM’96–F’04) received the Ph.D. degree in electrical engineering from Université de Sherbrooke, Sherbrooke, QC, Canada, in 1990. He joined Ecole Polytechnique, Montréal in 1991, where he is currently a Professor of Microelectronics and Biomedical Engineering. Dr. Sawan is Deputy Editor-in Chief of the IEEE Transactions on Circuits and Systems-II: Express Briefs, and Co-Founder and Associate Editor of the IEEE Transactions on Biomedical Circuits and Systems. He is founder of the International IEEE-NEWCAS Conference and of the Polystim Neurotechnologies Laboratory, and Co-Founder of the International IEEE-BioCAS Conference, and the International IEEE-ICECS. His scientific interests are the design and testing of analog and mixed-signal circuits and systems, signal processing, modeling, integration, and assembly. He holds the Canada Research Chair in Smart Medical Devices, and he is leading the Microsystems Strategic Alliance of Quebec (ReSMiQ).
Dr. Sawan published more than 600 peer reviewed papers, two books, 10 book chapters, and 12 patents. He received several awards, among them the Barbara Turnbull 2003 Award for spinal cord research, the American University of Science and Technology Medal of Merit, and the ACFAS – Bombardier and Jacques-Rousseau Awards. Dr. Sawan is Fellow of the IEEE, Fellow of the Canadian Academy of Engineering, and Fellow of the Engineering Institutes of Canada. He is also “Officer” of the National Order of Quebec.
Expertise: biomedical image analysis; computational imaging; cancer imaging; neuroimaging; image registration; imaging biomarkers; segmentation
Julia Schnabel graduated with an MSc Computer Science, Technical University of Berlin in 1993, and a PhD Computer Science, University College London, UK in 1999. She took up positions as Research Associate/Fellow at the Image Sciences Institute, University Medical Center Utrecht, NL (1998-9), the Division of Imaging Science at King’s College London, UK (1999-2004), and at the Centre of Medical Image Computing, University College London, UK (2004-7). In 2007 she was appointed University Lecturer (Associate Professor) in Engineering Science at the University of Oxford, UK in association with a Tutorial Fellowship in Engineering at St. Hilda’s College, Oxford, and co-founded the Biomedical Image Analysis Laboratory at the Institute of Biomedical Engineering. In 2014 she was conferred the title of Professor of Engineering Science by the University of Oxford, and in 2015 she joined the Division of Imaging Sciences & Biomedical Engineering, King’s College London, UK as Chair in Computational Imaging. Julia’s current research interests are in nonlinear motion modelling/image registration, multi-modality imaging and quantitative imaging for applications in cancer imaging and neurosciences. Her focus is on developing mathematically principled methods for correcting complex types of motion, such as sliding organs, fetal movements, as well as motion artefacts in dynamic imaging. She also has an interest in machine learning techniques for disease characterisation and prediction of response to treatment, with the aim of rapid translation into clinical practice for patient stratification and improved treatment outcome.
Expertise: hemodynamics, cardiovascular biomechanics, biofluid mechanics, fluid-structure interaction, cardiovascular devices, computational biomechanics
Patrick Segers, PhD, is full senior professor at Ghent University. His work involves modelling and simulation of the hemodynamics and mechanics of the cardiovascular system making use of computer and experimental models, yet always in close collaboration with clinicians and with attention for validation and implementation of new techniques in a clinical setting. In the past few years, his research has mainly focused on phenotyping large artery stiffness and function, arterial physiology and early non-invasive detection of increased arterial stiffness and wave reflections on the one hand, and the use of advanced computational tools for medical applications on the other. He heads the BioMMeda research unit (“Biofluid, tissue and solid mechanics for medical applications”) within the Institute Biomedical Technology (IBiTech) and is one of the driving forces behind the inter-university master program in biomedical engineering at the universities of Ghent (UGent) and Brussels (VUB) and an EIT (European Institute of Technology) endorsed international Msc in Biomedical Engineering.
Expertise: Biomedical signal processing; swallowing; gait; artificial intelligence; human-machine interfaces
Dr. Ervin Sejdić received B.E.Sc. and Ph.D. degrees in electrical engineering from the University of Western Ontario, Canada. From 2008 to 2010, he was a postdoctoral fellow at the University of Toronto with a cross-appointment at Bloorview Kids Rehab. From 2010 until 2011, he was a research fellow at Harvard Medical School with a cross-appointment at Beth Israel Deaconess Medical Center. He is currently an associate professor at the University of Pittsburgh. In February 2016, President Obama named Dr. Sejdić as a recipient of the Presidential Early Career Award for Scientists and Engineers. In 2017, Dr. Sejdić was awarded the National Science Foundation CAREER Award. Dr. Sejdić’s research interests include biomedical signal processing, gait analysis, swallowing difficulties, advanced information systems in medicine, rehabilitation engineering, assistive technologies and anticipatory medical devices.
Expertise: Medical image analysis, segmentation, classification, registration
Dinggang Shen, Professor, Fellow of IEEE, Fellow of The American Institute for Medical and Biological Engineering (AIMBE), and also Fellow of The International Association for Pattern Recognition (IAPR). His research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 1100 peer-reviewed papers in the international journals and conference proceedings, with H-index 102. He serves as an editorial board member for eight international journals. Also, he has served in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society, in 2012-2015, and was General Chair for MICCAI 2019.
Expertise: Biomedical measurement, medical diagnostic imaging system, biomedical image processing, ultrasound imaging, elastography, photoacoustic imaging
Dr. Shiina was graduated from the Electronic Engineering Department, the University of Tokyo, in 1982. He received PhD degrees in electronic engineering in 1987 from the University of Tokyo. He also received DMSC degree in 2006, from University of Tsukuba.
From 1995 to 1996, he was with the institute of Cancer Research and the Royal Marsden NHS Trust in UK as Visiting Professor. He is presently a Professor of Human Health Sciences, Graduate School of Medicine, Kyoto University since 2008. He also served as a Deputy Director of Kyoto University Hospital from 2012 to 2015.
His current research interests include visualization technique of structural and functional bio-information, for example, ultrasonic elasticity imaging, 3D blood-flow measurement, and photoacoustic imaging. Recently, he involves the development of photoacoustic mammography as Kyoto University-Canon joint research project and the ImPACT program supported by Japanese government grant.
Dr. Shiina was executive board of the Japanese Society of Medical and Biological Engineering (JSMBE). He is vice-president of the Japan Society of Ultrasonics in Medicine (JSUM) from 2014.
Expertise: Tomographic image-reconstruction, X-ray CT, Digital Breast Tomosynthesis, Spectral CT, Model Observers, Large-scale optimization for imaging
Dr. Sidky is Research Professor in the Department of Radiology at The University of Chicago. He received his B.S. degree (1988) in Physics, Astronomy-Physics, and Mathematics from the University of Wisconsin-Madison. He went on to obtain his M.S (1991) and Ph.D (1993) in Physics from The University of Chicago. Dr. Sidky worked as a post-doctoral research assistant in Atomic Physics at the University of Copenhagen (1993-1996), University of Bielefeld (1996), and Kansas State University (1996-2001). In 2001, Dr. Sidky switched to medical imaging and joined the lab of our Editor-in-Chief, Dr. Pan; most recently, he was promoted to Research Professor in 2018. Dr. Sidky has published approximately 100 papers, and about 70 of them are in medical imaging. His theoretical work has mainly focused on X-ray tomography with sparse or limited-angular range sampling. He has also applied advanced techniques for non-smooth or non-convex large-scale optimization applied to imaging. His application work has centered on tomographic breast imaging, CT and tomosynthesis, and developing image reconstruction algorithms and calibration techniques for spectral CT scanners based on photon-counting detectors.
Expertise: Ultrasonic imaging, ultrasonic transducers and arrays, and medical imaging
K. Kirk Shung obtained a B.S. in electrical engineering from Cheng-Kung University in Taiwan in 1968, a M.S. in electrical engineering from University of Missouri, Columbia, MO in 1970 and a Ph.D. in electrical engineering from University of Washington, Seattle, WA, in 1975. He had taught at Pennsylvania State University, University Park, PA for 23 years before moving to the Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, as a professor in 2002. He has been the director of NIH Resource on Medical Ultrasonic Transducer Technology since 1997.
Dr. Shung is a life fellow of IEEE, and a fellow of the Acoustical Society of America and American Institute of Ultrasound in Medicine. He is a founding fellow of American Institute of Medical and Biological Engineering. He received the IEEE Engineering in Medicine and Biology Society Early Career Award in 1985 and was the coauthor of a paper that received the best paper award for IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (UFFC) in 2000. He was elected an outstanding alumnus of Cheng-Kung University in Taiwan in 2001. He was selected as the distinguished lecturer for the IEEE UFFC society for 2002-2003. He received the Holmes Pioneer Award in Basic Science from American Institute of Ultrasound in Medicine in 2010. He was selected to receive the academic career achievement award from the IEEE Engineering in Medicine and Biology Society in 2011.
Dr. Shung has published more than 400 papers and book chapters. He is the author of a textbook “Principles of Medical Imaging” published by Academic Press in 1992 and a textbook “Diagnostic Ultrasound: Imaging and Blood Flow Measurements” published by CRC press in 2005. He co-edited a book “Ultrasonic Scattering by Biological Tissues” published by CRC Press in 1993. He is an associate editor of IEEE Transactions on UFFC and a member of the editorial board of Ultrasound in Medicine and Biology. Dr. Shung’s research interest is in ultrasonic transducers, high frequency ultrasonic imaging, ultrasound microbeam, and ultrasonic scattering in tissues.
Expertise: Biomedical signal processing, cardiology, atrial fibrillation
Leif Sörnmo received the M.Sc. and Ph.D. degrees in electrical engineering from Lund University, Lund, Sweden, in 1978 and 1984, respectively. From 1983 to 1995, he was a Research Fellow at the Department of Clinical Physiology, Lund University. Since 1990, he has been with the Signal Processing Group, Department of Electrical and Information Technology, Lund University, where he is a Professor of biomedical signal processing. He is the author of Bioelectrical Signal Processing in Cardiac and Neurological Applications (2005). His research interests include statistical signal processing, modeling of biomedical signals, methods for analysis of atrial fibrillation, multimodal signal processing in hemodialysis, and power-efficient signal processing in implantable devices.
Dr. Sörnmo is an Associate Editor of IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING and Journal of Electrocardiology, a member of the Editorial Board of Medical and Biological Engineering & Computing, and was an Associate Editor of Computers in Biomedical Research. He is a Fellow of the International Academy of Medical and Biological Engineering (IFMBE).
Expertise: Medical image analysis, image quantification, image classification, imaging biomarkers, image segmentation, image registration.
Lawrence Staib received his A.B in Physics from Cornell University and his Ph.D. in Engineering and Applied Science from Yale University. He is Professor of Radiology & Biomedical Imaging, Biomedical Engineering, and Electrical Engineering at Yale University. He is a member of the editorial board of Medical Image Analysis and Associate Editor of IEEE Transactions on Biomedical Engineering since 2013. He is a Fellow of the American Institute for Medical and Biological Engineering. He was elected to the Council of Distinguished Investigators of the Academy for Radiology & Biomedical Imaging Research. His research interests are in the development of methods for medical image analysis with applications in cancer, neuroimaging, and cardiology using machine learning and model-based approaches.
Expertise: Signal Processing, Statistics, Data Science, Neuroscience, Neurological Disorders, Epilepsy
Dr Stamoulis received the BS, MS and PhD degrees from the Massachusetts Institute of Technology, and completed post-doctoral training at Harvard (Theoretical seismology), MIT (Neuroscience) and the Harvard School of Public Health (Biostatistics). She is currently Assistant Professor of Medicine at Harvard Medical School and directs the Computational Neuroscience Laboratory at Boston Children’s Hospital. Her broad research interests are in Computational Neuroscience and focus on the development of novel computational methods and mathematical and statistical models that aim to robustly characterize the neurodynamic correlates of complex behaviors across the lifespan. Her expertise is in neural signal processing and high-dimensional statistics. A second focus of her research is on the characterization of aberrant brain dynamics associated with developmental and neurological disorders, particularly epilepsy. She is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Society for Neuroscience, the Americal Epilepsy Society, the Americal Statistical Association and the Acoustical Society of America.
Expertise: Computer Assisted Interventions, Surgical Robotics, Surgical Vision and Imaging, Surgical AI, Surgical Data Science, Computational Biophotonics
Danail Stoyanov is a Professor of Robot Vision in the Department of Computer Science, University College London (UCL) and Director of the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). He received the BEng degree from King’s College London, the PhD degree from Imperial College London and post-doctoral training as a Royal Academy of Engineering Research Fellowship (2009-2014). He is currently a Royal Academy of Engineering Chair in Emerging Technologies (2019-2029) and an EPSRC Early Career Research Fellow (2017-2022) leading a research programme focused on surgical artificial intelligence (AI) and robotics. His research is translational in nature and aims to support advances in computer assisted interventions for more precise, safer diagnostic and therapeutic procedures.
Expertise: Computational Fluid Dynamics, Mechanical Testing, Fluid Dynamics, Blood Flow, Ventricular Assist Devices, Cardiovascular Devices, Hemolytic Studies, In Vitro Testing, Particle Image Velocimetry, Congenital Heart Disease, Congestive Heart Failure, Pediatric Circulatory Devices, Adult Circulatory Devices, Total Artificial Hearts, Rotary Blood Pumps.
Dr. Amy L. Throckmorton is Associate Professor and Director of the BioCirc Research Laboratory in the School of Biomedical Engineering, Science and Health Systems at Drexel University. Prior to this position, in the Department of Mechanical and Nuclear Engineering at the Virginia Commonwealth University, she served as Associate Professor and previously held the chaired Qimonda Assistant Professorship. She received her PhD and MS in Biomedical Engineering as well as a BS in Chemical Engineering from the University of Virginia. After working in the chemical industry, she served as a research assistant from 2000 to 2006 in the Department of Mechanical and Aerospace Engineering at the University of Virginia. After receiving her PhD, she worked, as a postdoctoral fellow, on the development of blood-contacting medical devices in the Department of Cardiothoracic Surgery at the Indiana University School of Medicine. She conducts research in experimental and computational fluid mechanics as related to the development of innovative treatment strategies, such as blood pumps or ventricular assist devices, for pediatric and adult patients suffering from heart failure secondary to acquired and congenital heart disease. Therapeutic modalities under development will augment flow and pressure in the: 1) cavopulmonary circulation (pulmonary circulatory support) in patients with single ventricle physiology, and 2) systemic circulation in patients with single ventricle or biventricular circulations as a bridge-to-recovery or transplant. This research addresses complex and unresolved hurdles in the field of congenital heart disease and mechanical circulatory support. Core areas of her research include the application of computational fluid dynamics (CFD) under steady and transient rotational flow conditions, hydraulic performance testing of prototypes for validation of CFD predictions, blood bag experimentation, and animal testing. This research combines broad expertise in engineering, pediatric cardiology, adult cardiology, congenital heart surgery, cardiothoracic surgery, and medical device design and manufacturing.
Expertise: Medical image processing and analysis, molecular imaging, functional imaging
Jie Tian, IEEE Fellow, IAMBE Fellow, received his PhD degree in artificial intelligence from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 1993. He subsequently joined the University of Pennsylvania as a postdoctoral fellow. Since 1997, Dr. Tian has been a professor at CASIA. He is currently the director of the Beijing Key Laboratory of Molecular Imaging and the Intelligent Medical Research Center, CASIA. He is also the director of the Chinese Society for Molecular Imaging. Dr. Tian’s research covers medical image processing and analysis, molecular imaging, and functional imaging. He has published more than 200 papers in peer-reviewed journals. Both in 2003 and 2004, he won the National Award for Progress in Science and Technology. Besides, he is a winner of the 2010 National Award for the Technological Invention of the multimodal molecular imaging method and system for small animal.
Expertise: Big Biomedical Data Analytics and Systems Modeling for Health/Clinical Decision Support; Bioinformatics for Next Generation Sequencing and High-throughput -omic Data Analysis; Bionanoinformaticsl; Pathological Imaging Informatics; and Health Informatics for Chronic/Acute/Genetics Disease Monitoring and Education
Dr. Wang is an Associate Professor in the Joint Department of BME, School of ECE, WCI, IBB, and IPaT at Georgia Institute of Technology and Emory University, USA. She is a GCC Distinguished Cancer Scholar, a Co-Director of Georgia-Tech Center of Bio-Imaging Mass Spectrometry, and an active participant in FDA-led Microarray Quality Control and Sequencing Consortium (MAQC-SEQC). She received PhDEE, MSEE/MSCS/MS-AppliedMath from Georgia-Tech, B.S.Eng from Tsinghua University, and had several years of industrial R&D experience. Her research is on Big Biomedical Data Analytics — Biomedical and Health Informatics (BHI) for Personalized and Predictive Health (e.g. Next-Generation-Sequencing -omic data mining, pathological imaging informatics, health informatics, bionanoinformatics, and systems modeling). She published 140+ peer-reviewed articles, with a few tools certified by NIH/National Cancer Informatics Program as silver-level compatible. She serves as Co-Chair of IEEE-EMBS BHI Technical Committee, Senior Editor for Journal of BHI, and a 2014-2015 IEEE-EMBS Distinguished Lecturer.
Expertise: Magnetic resonance imaging, neural, cardiac
Dr. Wang is the Faculty Distinguished Professor of Radiology and Professor of Biomedical Medical Engineering at Cornell University, Fellow of American Institute for Medical and Biological Engineering, and Fellow ofInternational Society of Magnetic Resonance in Medicine. Dr. Wang’s major research interests have been in the area of MRI technology development and clinical and biological applications. His work includes the cardiac navigator motion correction method that forms the foundation for high resolution cardiac MRI, time resolved MRA and bolus chase peripheral MRA that have become routinely used in clinical practice, and accurate segmentation method that enables automatic analysis of large image data. Recently, he has led the pioneer development of quantitative susceptibilitymapping to study tissue magnetic property that opens a new arena of MRI with applications ranging from quantitative mapping of contrast agents in molecular MRI to brain iron deposition in neurodegenerative diseases and deoxyhemoglobin in neuronal function.
Expertise: biomedical signal processing, nonlinear dynamics, statistical bio-dynamics, time-frequency analysis, biomedical and health informatics, behavioral analysis, affective computing
Yoshiharu Yamamoto received his B.Sc., M.Sc. and Ph.D. degrees in educational sciences from the University of Tokyo, Tokyo, Japan, respectively in 1984, 1986 and 1990. From 1989 to 1993, he was working as a Postdoctoral Researcher at the Faculty of Applied Health Sciences, University of Waterloo, Waterloo, Ontario, Canada, mainly on bio-signal processing for human cardiovascular and autonomic physiology. In 1993, he was granted a faculty position at the Graduate School of Education, the University of Tokyo, and has been a Full Professor at the Educational Physiology Laboratory, Graduate School of Education, the University of Tokyo since 2000, where he is teaching and researching physiological bases and data analytics in a various fields of health sciences. His current research interest includes biomedical signal processing, nonlinear and statistical bio-dynamics, and health informatics. He has published >160 full refereed journal papers and >60 refereed conference proceedings and correspondence in English language, and is currently an associate editor of IEEE Transactions on Biomedical Engineering and an editorial board member of Biomedical Physics & Engineering Express.
Expertise: Hearing, speech, neural modulation, and prosthetics
Fan-Gang Zeng is a leading researcher in auditory science and technology, unraveling brain mechanisms in loudness coding and speech recognition while translating research into two commercial products in deafness and tinnitus treatment (Nurotron and SoundCure). He has published more than 100 peer-reviewed journal articles, with 5612 citations and an h-index of 38 (Google Scholar October 2012). He is a Professor of Anatomy and Neurobiology, Biomedical Engineering, Cognitive Sciences, and Otolaryngology and Director of Center for Hearing Research at the University of California Irvine. He is a Fellow of The American Institute for Medical and Biological Engineering, Collegium Oto-Rhino-Larygologicum, IEEE, and the Acoustical Society of America.
Expertise: rehabilitation robotics, biomechanics, medical devices, spasticity, neurorehabilitation, musculoskeletal rehabilitation, multi-joint impairment
Li-Qun Zhang is a Professor in Physical Therapy & Rehabilitation Science, Orthopaedics, and Bioengineering, University of Maryland, USA. His research interests include conducting diagnosis, passive stretching and active movement treatments, and outcome evaluations of sensorimotor impairments in neurological disorders using custom intelligent rehabilitation devices, investigation of reflex and nonreflex factors contributing to movement impairments at multi-joint, single-joint, and muscle fascicle-tendon levels, investigation of musculoskeletal injury mechanisms and rehabilitation/prevention of injuries, and furthermore translate research from lab to new rehabilitation protocols and novel devices to improve assessment and treatment of musculoskeletal injuries and neurological impairments in clinical practice. He has published more than 120 peer-reviewed journal articles.
Expertise: Biomedical Signal Processing; Electromyography; Machine Learning; Myoelectric Control; Neuromuscular Disorders/Injuries; Neuro-Rehabilitation Engineering; Medical Electronics.
Xu Zhang is Associate Professor and a leading investigator in biomedical electronics in the School of Microelectronics, and in the Joint Program of Biomedical Engineering, University of Science and Technology of China (USTC). Before current position he was a postdoctoral fellow in Rehabilitation Institute of Chicago from 2011 to 2013. He received the B.S. degree in electronic science and technology and the Ph.D. degree in BME, both from USTC, in 2005 and 2010, respectively. His research interests include biomedical signal processing, neural machine interfaces, neuromuscular physiology, multimodal data fusion, medical electronics and healthcare applications. He has published more than 90 peer-reviewed journal articles, and holds over 20 patents. Dr. Zhang is the recipient of the 2018 award for Distinguished Young Investigator in China Frontiers of Engineering (neural engineering group).
Expertise: Computer assisted surgery, computer-assisted interventions, medical robotics, machine and deep learning, musculoskeletal image analysis, statistical shape and deformation analysis, computational anatomy
Guoyan Zheng, Ph.D., is a tenured Professor and the director of the Center for Image-guided Therapy and Interventions at the Institute for Medical Robotics, Shanghai Jiao Tong University, China. Before he moved to Shanghai, he was an Associate Professor at the Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland. His research interest lies in the fields of medical image computing, computer assisted interventions, machine learning, deep learning, medical robotics and multimodality image analysis. He has been granted 8 US and European Patents and published over 220 peer-reviewed articles – over 108 of them are peer-reviewed journal publications in both technical and clinical fields. Dr. Zheng is an editorial board member for International Journal of Computer Assisted Radiology and Surgery (IJCARS) and the Journal of Computerized Medical Imaging and Graphics (CMIG). He is a member of the Board of Directors of the International Society for Medical Image Computing and Computer Assisted Interventions (MICCAI Society) and a member of the Executive Board of the International Society for Computer Assisted Orthopaedic Surgery (CAOS-International). He is reviewers for multiple funding agencies and received numerous prizes and awards for his academic and clinical performance, including Ypsomed Innovation Prize for Research and Development. Dr. Zheng received his Ph.D. degree from the University of Bern, Switzerland and did his habilitation on medical image computing. He received the venia docendi from the same University and holds the title of Privatdozent (PD).
Electromyography (EMG), Biomedical signal processing, Motor unit analysis, Neuromuscular electrophysiology, Myoelectric control, Neurorehabilitation
Ping Zhou is a Professor in University of Health and Rehabilitation Sciences (tentative name), Qingdao, China. As the first professor joining this university still in preparation, he helps plan and found its biomedical/rehabilitation engineering programs. Before current position he was a professor in Physical Medicine and Rehabilitation at University of Texas Health Science Center at Houston (UTHealth). Before joining UTHealth, he spent most time in Rehabilitation Institute of Chicago and Northwestern University, progressively as PhD student, postdoctoral fellow, research assistant professor, and research associate professor. His research interests include biomedical signal processing (particularly EMG), motor unit analysis, electrodiagnosis of neuromuscular diseases, myoelectric prosthesis control, and neurorehabilitation robotics. He has published over 140 peer-reviewed journal articles. He serves as Associate Editor for IEEE-TBME, IEEE-TNSRE, Journal of NeuroEngineering and Rehabilitation, Frontiers in Neurology, BioMed Research International, and Journal of Healthcare Engineering.
Expertise: Diffuse Optical Tomography, multi-modality photoacoustic, and ultrasound imaging.
optical coherence tomography, and structured light imaging techniques.
Translational Imaging Research on cancer detection, diagnosis and treatment assessment and prediction.
Professor Zhu joined Washington University in St. Louis as a professor of the Department of Biomedical Engineering in July 2016. She also has a joint appointment in Radiology at Washington University School of Medicine in St Lois. Previously, she was a professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Connecticut.
Professor Zhu has been named Fellow of Optical Society of American (OSA), Fellow of SPIE- International Society for Optics and Photonics, a Member of Connecticut Academy of Science. Professor Zhu received the Connecticut Technology Council 2007 Women of Innovation Award. She is a Topical Editor of Optics Letters, and an editorial board member of Photoacoustic and Biomedical Optics. She is a member of organizing committee for the SPIE Photonics West Photon Plus Ultrasound Conference, and Optical Tomography and Spectroscopy of Tissue IX conference. Her research interests are focused on multi-modality photoacoustic, ultrasound, optical coherence tomography, structured light imaging techniques for cancer detection, diagnosis and treatment assessment and prediction.
Expertise: Biomedical image analysis, computer aided diagnosis, machine learning, cardiovascular imaging, neurovascular imaging, segmentation
Maria A. Zuluaga obtained her PhD from Université de Lyon (France) in 2011. She took up positions as a postdoctoral fellow at the European Synchrotron Radiation Facility, Grenoble, FR (2011-12) and as a Senior Research Associate at the Centre for Medical Image Computing, University College London, UK (2012-16). After a 2.5 years’ experience in industry, where she led a team working on fundamental machine learning research, she joined EURECOM (Sophia Antipolis, France) as an Assistant Professor in machine learning within the Data Science department. At EURECOM, she leads the research on machine learning for healthcare applications. Since 2021, she holds a junior chair at the Interdisciplinary Institute for Artificial Intelligence (AI), the 3IA Côte d’Azur, specializing on AI for integrative computational medicine. Her research interests are in the development of methods for biomedical image analysis with a special focus on their safe translation into clinical practice.