Associate Editors

Amir Amini

University of Louisville

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.

Fabio Babiloni

University of Rome

Expertise: Estimation of cortical connectivity from EEG data, brain computer interfaces

Dr. Fabio Babiloni was graduated in electronic engineering and holds a PhD in Computational Engineering from the Helsinki University of Technology. He is currently Professor of Physiology at the Faculty of Medicine of the University of Rome “La Sapienza”, Rome, Italy. He teaches “Human physiology” at the University Medical School and “Clinical application of bioengineering” to the Biotechnology faculty of the same University. Professor Babiloni is author of 187 papers on bioengineering and neurophysiological topics on international peer-reviewed scientific journals, and more than 250 contributions to conferences and books chapters. He wrote 4 books on EEG signal processing. His total impact factor is 360 and his H-index is 40 (Google Scholar). Currents interests are in the field of estimation of cortical connectivity from EEG data and the area of brain computer interfaces. Professor Babiloni is currently grant reviewer for the National Science Foundation (NSF) USA, the European Union through the FP6 and FP7 research programs and different european agencies (France, Germany, Finland, Austria, Belgium, Spain, Cyprus). He is an Associate Editor of three scientific Journals, “IEEE Trans. On Neural System and Rehabilitation Engineering”, “International Journal of Bioelectromagnetism” and “Computational Intelligence and Neuroscience”.
Prof. Babiloni was a former president (2007-2009) of the “International Society of Bioelectromagnetism” and (2009-2011) of the “International Society of Non Invasive Source Functional Localization”. Since 1987 Prof. Babiloni is a regular reviewer of IEEE-TBME and then of IEEE-TNSRE journals. Since 2007 is IEEE-EMBS Conference Editor and since 2011 is Chair of the IEEE Technical Committee of Biomedical Signal Processing.

Walt Besio

University of Rhode Island

Expertise: Electrodes, brain stimulation, epilepsy, brain computer interface,

Dr. Walt Besio received his M.S. and Ph.D. degrees in BME from the University of Miami. Prior to joining academia, Dr. Besio worked 12+ years in the biomedical device and electronics industries. Presently, he is an Associate Professor at the University of Rhode Island (URI) Electrical, Computer, and Biomedical Engineering Department. He is a co-founder and on the Executive Committee of the URI Interdisciplinary Neuroscience Program.
Dr. Besio is the EMBS VP Finance, has been Chair, and Co-Chair of EMBC sessions, mini-symposia, and Theme 3. He is an IEEE Senior Member and past IEEE Sensors Council EMBS AdCom representative (2010-2013). Since 2012, Dr. Besio has been the Chair of the EMBS Wearable Biomedical Sensors and Systems Technical Committee and a member of the EMBS AdCom. He is also on the Technical Committee of the American Epilepsy Society (2009-present) and a permanent member of the NIH NOIT study panel.

Jose M. Carmena

University of California, Berkeley

Expertise: Brain-Machine Interface

Dr.Jose M. Carmena (S’97-M’99-SM’09) is a Professor of Electrical Engineering and Neuroscience at the University of California-Berkeley, and Co-Director of the Center for Neural Engineering and Prostheses at UC Berkeley and UC San Francisco. His research program in neural engineering and systems neuroscience is aimed at understanding the neural basis of sensorimotor learning and control, and at building the science and engineering base that will allow the creation of reliable neuroprosthetic systems for the severely disabled. Dr. Carmena received the B.S. and M.S. degrees in electrical engineering from the Polytechnic University of Valencia (Spain) in 1995 and the University of Valencia (Spain) in 1997. Following those he received the M.S. degree in artificial intelligence and the Ph.D. degree in robotics both from the University of Edinburgh (Scotland, UK) in 1998 and 2002 respectively. From 2002 to 2005 he was a Postdoctoral Fellow at the Department of Neurobiology and the Center for Neuroengineering at Duke University (Durham, NC). He is senior member of the Institute of Electrical and Electronics Engineers (IEEE), and member of the Society for Neuroscience, and the Neural Control of Movement Society. Dr. Carmena has been the recipient of the Bakar Fellowship (2012), the IEEE Engineering in Medicine and Biology Society Early Career Achievement Award (2011), the Aspen Brain Forum Prize in Neurotechnology (2010), the National Science Foundation CAREER Award (2010), the Alfred P. Sloan Research Fellowship (2009), the Okawa Foundation Research Grant Award (2007), the UC Berkeley Hellman Faculty Award (2007), and the Christopher Reeve Paralysis Foundation Postdoctoral Fellowship (2003).

Sergio Cerutti

Politenico di Milano

Expertise: Biomedical signal processing, cardiovascular modelling, heart rate variability, EEG and evoked or event-related potentials, signal-image fusion

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.

Ali Cinar

Illinois Institute of Technology

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.

Claudio Cobelli

University of Padova, Italy

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.

Todd P. Coleman

University of California San Diego

Expertise: Brain-computer interfaces, flexible bio-electronics, neurophysiologcal 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).

Dorin Comaniciu

Siemens Corporate Technology, Princeton NJ, USA

Expertise: Biomedical imaging, image-guided therapy, interventional imaging, cardiac modeling, applications of machine learning in medicine.

Dorin Comaniciu is the Head of Imaging and Computer Vision at Siemens. He has global responsibility to oversee imaging research and transfer advanced technology and solutions to Siemens businesses. His team’s work resulted in life-saving clinical imaging products, covering scanning equipment, diagnostic imaging, and image-guided interventions. He is coauthor of the book Marginal Space Learning for Medical Image Analysis, holds 185 patents, and has coauthored 300 peer reviewed publications in the imaging field, which received 26,000 citations. Dr. Comaniciu is a Fellow of the IEEE, Fellow of the American Institute for Medical and Biological Engineering, and Top Innovator of Siemens. He is recipient of multiple awards in imaging, including the 2010 IEEE Longuet-Higgins Prize for fundamental contributions to computer vision. He graduated from University of Pennsylvania – The Wharton School, Rutgers University, and Polytechnic University of Bucharest.

Stuart Crozier

The University of Queensland

Expertise: MRI, medical imaging

Stuart Crozier is currently Professor and Director of Biomedical Engineering at The University of Queensland. He is an ATSE Fellow and a Fellow of The Institute of Physics (UK). He holds a PhD and higher Doctorate (D.Eng.) in Biomedical Engineering. He has published over 190 journal papers and holds 30 patents in the field of medical imaging. He has supervised more than 20 PhD students to graduation in the field. In 2012 he was awarded the Clunies Ross medal for research with a societal benefit. His main contributions have been to the development of applications and engineering innovation in Magnetic Resonance Imaging (MRI). Several of his innovations have been adopted by industry. He is also a Deputy Editor of Magnetic Resonance in Medicine.

Rafael Davalos

Virginia Tech – Wake Forest University

Expertise: tElectroporation, Electrical Impedance Tomorgraphy, Focal Ablation, electrokinetics, microfluidics

Dr. Davalos is an Associate Professor in the Virginia Tech – Wake Forest University School of Biomedical Engineering and Sciences. He holds Adjunct Appointments at Wake Forest’s Institute of Regenerative Medicine and Comprehensive Cancer Center. Davalos received his BS from Cornell University and his MS and PhD from the University of California, Berkeley. Prior to becoming a faculty member, Davalos was a Principal Member of Technical Staff at Sandia National Laboratories. He has 12 issued patents, over 65 peer-reviewed articles, 48 conference proceedings, and 8 book chapters. Davalos received the 2006 HENAAC award for Nation’s Most Promising Engineer, the NSF CAREER, and the Most Outstanding Dissertation Advisor award at Virginia Tech. In 2012, he was named a Wallace H. Coulter Fellow. His technology was listed by NASA Tech Briefs as one of the top 7 technological breakthroughs of ’07. His research interests are in microfluidic tissue mimics, biotransport, electroporation, and dielectrophoresis..

Timothy Denison

Medtronic Inc.

Expertise: Brain-Computer Interface, Neuroengineering, Brain Sensing, Neuromodulation, Integrated Circuits

Tim Denison is a Technical Fellow at Medtronic and Sr. Director of Core Technology for the Neuromodulation Division, where he helps oversee the design of next generation neural interface and algorithm technologies for the treatment of chronic neurological disease. In 2012, he was awarded membership to the Bakken Society, Medtronic’s highest technical and scientific honor. Tim received an A.B. in Physics from The University of Chicago, and an M.S. and Ph.D. in Electrical Engineering from MIT. Tim’s extracurricular pursuits include serving as an adjunct assistant professor at Brown University, teaching “smart” medical sensor design short courses at the TU Delft, and serving on the Bakken Museum Board.

Lei Ding

University of Oklahoma

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.

Dario Farina

Georg-August University

Expertise: Electromyography, signal processing, neurorehabilitation, neural control of movement, brain-computer interfaces, myocontrol

Dario Farina received the Ph.D. degrees in automatic control and computer science and in electronics and communications engineering from the Ecole Centrale de Nantes and Politecnico di Torino, respectively, in 2002. After a period (2002–2004) as Assistant Professor at Politecnico di Torino and Associate Professor (2004–2008) at Aalborg University, Denmark, he has been Full Professor at Aalborg University (2008-2010). Since 2010 he is Full Professor and Founding Chair of the Department of Neurorehabilitation Engineering at the University Medical Center Göttingen, Georg-August University, Germany. Currently, he is also the Chair for NeuroInformatics of the Bernstein Focus Neurotechnology Göttingen. His research focuses on biomedical signal processing, modeling, neurorehabilitation technology, and neural control of movement. Within these areas, he has (co)-authored more than 250 papers in peer-reviewed Journals. Prof. Farina is currently the President of the International Society of Electrophysiology and Kinesiology. He is the recipient of the 2010 IEEE Engineering in Medicine and Biology Society Early Career Achievement Award.

Gabor FichtingerAE_Fichtinger

Queen’s University

Expertise: Computer-assisted surgery and intervention, Image-guided surgery and intervention, Medical robotics interventional imaging and image computing

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 Johns Hopkins University in 1998. He relocated to Queen’s University in 2007, where he is a Professor of Computing and Cancer Care Ontario Research Chair. His research interest is medical image computing and computer-assisted interventions: an interdisciplinary field that covers medical imaging, image computing, scientific visualization, surgical planning and navigation, robotics, biosensors and, most importantly, integration of all these into workable clinical systems and translating them to clinical use. He further specializes in robotically assisted minimally invasive needle-based surgeries performed under real-time image guidance, with primary application in the detection and treatment of cancer and musculoskeletal conditions.

James Gee

University of Pennsylvania

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.

Maysam Ghovanloo

Georgia Institute of Technology

Expertise: Implantable Microelectronic Devices, Wireless Neural Interfacing/Neuroprostheses, Assistive Technologies and Rehabilitation Engineering, Smart Health and Wellbeing, Bio-inspired Microsystems, Low-power analog/digital/mixed-mode integrated circuits

Maysam Ghovanloo received the B.S. degree in electrical engineering from the University of Tehran, the M.S. degree in biomedical engineering from the Amirkabir University of Technology, and the M.S. and Ph.D. degrees in electrical engineering from the University of Michigan, Ann Arbor. From 2004 to 2007, he was an Assistant Professor in the Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA. In 2007, he joined the faculty of the Georgia Institute of Technology, Atlanta, GA, USA, where he is currently an Associate Professor and the Founding Director of the GT-Bionics Lab in the School of Electrical and Computer Engineering. He has coauthored more than 150 peer-reviewed publications. He is an Associate Editor of the IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING and IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. He was a member of the Imagers, MEMS, Medical, and Displays subcommittee at the International Solid-State Circuits Conference (ISSCC) from 2010-2014, and the 2010 recipient of a CAREER award from the National Science Foundation.

Cuntai Guan

Nanyang Technological University, Singapore

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.

Nobuhiko Hata

Brigham and Women’s Hospital and Harvard Medical School

Expertise: Image-guided therapy, Surgical robotics, Interventional imaging and processing, Intraoperative sensing and imaging

Nobuhiko Hata is an Associate Professor of Radiology, Brigham and Women’s Hospital and Harvard Medical School. He received his B.E. degree in precision machinery engineering in 1993 from The University of Tokyo, Tokyo, Japan, and his M.E. as well as the Doctor of Engineering degrees in 1995 and 1998 respectively, both from The University of Tokyo, Tokyo, Japan. In 1995, 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.

John A. Hossack

University of Virginia

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

Ilko K. Ilev

U.S. Food and Drug Administration

Expertise: Biophotonics, 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 quantum physics, biophotonics, nanobiophotonics, laser medicine and fiber optics. He received M.S. and Ph.D. degrees in Laser Physics from Sofia University and Technical University, Bulgaria. Dr. Ilev has worked in Strathclyde University, Glasgow, UK, and in 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 is the Leader of the Optical Therapeutics and Medical Nanophotonics Laboratory. He was appointed to the Senior Biomedical Research Service (SBRS) in September 2012. Dr. Ilev is also an Adjunct Professor in the University of Maryland. Dr. Ilev has produced more than 350 journal papers and conference abstracts. He served as IEEE Lasers and Electro-Optics Society and IEEE Photonics Society Biophotonics Committee Chair.

Pedro P. Irazoqui

Purdue University

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.

Jim Ji

Texas A&M University

Expertise: Magnetic Resonance Imaging, Image reconstruction, Parallel imaging and transmission, Biomarker kinetics and, quantification, Biomedical image analysis

Dr. 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, biomedical image processing, and their applications in cancer, neural and cardiac applications. His recent work is focused on MRI with large arrays and compressive sensing MRI. Dr. Ji received the Zhongwang Outstanding Graduate Prize from Tsinghua University in 1997, the Sundaram Seshu Fellowship from UIUC in 2001, and the Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF) in 2008. He serves regularly as an ad-hoc member on NIH and NSF grant review panels, and associate editors of IEEE Journal on Biomedical and Health Informatics, and Quantitative Imaging in Medicine and Surgery. He is senior member of the IEEE.

Xin Li

Carnegie Mellon University

Expertise: Brain-computer interface, neuroimaging, magnetoencephalography, electroencephalogram

Prof. Xin Li received the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2005. He is currently an Associate Professor in the ECE Department at Carnegie Mellon. He co-founded Xigmix Inc. in 2005 and served as the CTO until the company was acquired in 2007. From 2009 to 2012, he was the Assistant Director for the FCRP Focus Research Center for Circuit & System Solutions. His research interests include circuits and systems, signal processing and data analytics. Dr. Li was the Associate Editor of IEEE TBME, IEEE TCAD, ACM TODAES, IEEE D&T and JOLPE. He was the Guest Editor for IEEE TCAD, IEEE TNANO, IEEE TBD, IEEE D&T, IEEE JETCAS, ACM TCPS, ACM JETC and VLSI Integration. He served on the Executive Committee of ACM SIGDA, IEEE TCCCPS and IEEE TCVLSI. He received the NSF CAREER Award and five Best Paper Awards at IEEE TCAD, DAC, ICCAD and ISIC.

Xingde Li

Johns Hopkins University

Expertise: Biomedical optics, OCT, Nonlinear microscopy, Endoscopy, Biophotonics molecular imaging

Dr. Xingde Li received a BS degree in Physics from the University of Science and Technology of China, a PhD degree in Physics from the University of Pennsylvania, and postdoctoral training from MIT. He is currently a full professor at the Department of Biomedical Engineering Johns Hopkins University. His research interest centers on biomedical optics. In addition to IEEE-TBME, he also serves on the editorial boards for the Journal of Biomedical Optics (SPIE), Biomedical Optics Express (OSA), IntraVital Microscopy (Landes Biosciences), and Light: Science and Applications (Nature Publishing Group and CIOMP) plus several other international journals in biophotonics. He is currently a charter member of an NIH imaging study section. He has published ~78 peer-reviewed journal papers with a total citation more than 6,900 times and an H-index of ~37 (according to Google Scholar). He is a Fellow of OSA and SPIE.

Zong-Ming LiZong-Ming Li

Cleveland Clinic

Expertise: Musculoskeletal Biomechanics, Neuromuscular Control, Rehabilitation, Human Movement

Dr. Zong-Ming Li is a Staff/Professor at Cleveland Clinic, where he directs the Hand Research Laboratory affiliated with the Departments of Biomedical Engineering, Orthopaedic Surgery, and Physical Medicine & Rehabilitation. Dr. Li has more than 25 years of experience in musculoskeletal research and education, including his current position with Cleveland Clinic, previous assistant/associate professorship at the University of Pittsburgh, graduate studies at the Pennsylvania State University, and research work at the Shanghai Institute of Orthopaedics and Traumatology of Rui Jin Hospital. Dr. Li has broad research interests in musculoskeletal biomechanics and rehabilitation with a particular focus on the hand and upper extremity. Together with his colleagues, Dr. Li’s research work has been published in 97 peer-reviewed articles in over 40 journals. Dr. Li has given more than 100 invited lectures world-wide, and his teams have presented more than 200 podium and poster presentations in professional conferences. Dr. Li is a senior member of IEEE, and an elected Fellow of the American Institute for Medical and Biological Engineering (AIMBE).

Jie Liang

University of Illinois Chicago

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.

Marius George Linguraru

Children’s National Health System/George Washington University

Expertise: medical image analysis, quantitative imaging, computational anatomy, computer-aided diagnosis

Marius George Linguraru, DPhil, is Principal Investigator in the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Health System and Associate Professor of Radiology and of Pediatrics at the School of Medicine and Health Sciences of George Washington University. At the Sheikh Zayed Institute, Dr. Linguraru founded and directs the Quantitative Imaging Group to develop novel imaging biomarkers and technologies to detect pediatric diseases, design and evaluate personalized therapies, and anticipate risk factors. These efforts enhance traditional medical imaging modalities and create modern clinical tools for pediatric medicine, telemedicine and digital health.

Dr. Linguraru joined Children’s National from the National Institutes of Health Clinical Center, where he maintains an appointment as Associate Investigator. He is a Member Elect of the Technical Committee for Biomedical Imaging and Image Processing of the IEEE Engineering in Medicine and Biology Society and the recipient of numerous awards, including a prize for Excellence in Engineering at the Houses of Parliament in London, UK. Dr. Linguraru completed his doctorate at the University of Oxford and holds masters degrees in science and in arts from the University of Sibiu, Romania. He held postdoctoral fellowships at the French National Institute of Research in Informatics and Mathematics and at Harvard University.

Wentai Liu

University of California Los Angeles

Expertise: Neural implants, neural interface circuits and systems, bio-signal processing, brain dynamics and disease analysis, compressed sensing, neuroscience for learning

Wentai Liu received a B.S. degree from National Chiao-Tung University in Taiwan, a M.S. degree from National Taiwan University, and a Ph.D. from the University of Michigan. In 1983, he joined North Carolina State University, where he held the Alcoa Chair Professorship in electrical and computer engineering and was the founder of the Analog/Mixed-Mode Design Consortium. In 2003-2011, he was a professor in the electrical engineering at the University of California, Santa Cruz, where he was also the Campus Director of the NSF Engineering Research Center on Biomimetic Microelectronic Systems. Currently he is a Distinguished Professor at both the Bioengineering Department and Department of Electrical Engineering and Director of Chan Soon-Shiong Bionic Engineering Center at California NanoSystem Institute, University of California at Los Angeles. Since the inception of retinal prosthesis, he led the engineering efforts of the retinal prosthesis to restore vision, leading to successful implant tests in blind patients. The venture leaded to successful commercial implants (code name as Argus-II), receiving both CE Mark in 2011 and USA FDA market approval in 2013. He has published more than 350 technical papers. He received 2009 R&D-100 Editor Choice Award, 2010 Popular Mechanics Breakthrough Invention Award, IEEE Outstanding Paper Awards, Alcoa Distinguished Engineering Research Award, Outstanding Alumni Award and Honorary Doctoral Degree from National Chiao-Tung University, Taiwan. He has served as guest editors for IEEE proceeding and IEEE Trans. on MTT and is currently an Associate Editor for IEEE Trans. on Bio-Circuits and Systems. He is also an ISSCC Subcommittee member as well as a co-founder of the International Conference on Neuroprosthetic Devices (ICNPD).

Zhongming Liu

Purdue University

Expertise: Neuroimaging, Brain decoding, Neuromodulation

Zhongming Liu is an assistant professor in the Weldon School of Biomedical Engineering, and the School of Electrical and Computer Engineering at Purdue University. 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 neuroscience at the National Institute of Neurological Disorders and Stroke. Currently, his research lab is primarily focused on developing magnetic resonance imaging methods to map and decode brain activity and connectivity in humans and small animals.

Paul Meaney

Dartmouth College

Expertise: Microwave imaging, microwave tomography, breast imaging, bone imaging, dielectric properties

Dr. Paul Meaney (Senior Member, IEEE) received AB’s in Electrical Engineering and Computer Science from Brown University in 1982. He earned his Masters Degree in Microwave Engineering from the University of Massachusetts in 1985 after which he went on to work in the millimeter-wave industry at various companies including Millitech and Alpha Industries. He received his PhD in Biomedical Engineering from Dartmouth College in 1995 and spent two years as a postdoctoral fellow at both Dartmouth and at the Royal Marsden Hospital in Sutton, England. He has been a Research Professor at Dartmouth since 1997 and is also President of Microwave Imaging System Technologies, Inc. which he co-founded in 1995. He is primarily interested in microwave tomography for biomedical applications – especially breast imaging. Dr. Meaney holds 8 patents, has co-authored over 50 peer-reviewed journal articles, co-written one textbook and presented numerous invited papers related to microwave imaging.

Soumyo Mukherji

Indian Institute of Technology

Expertise:Medical sensors, Medical Instrumentation, Cardiac Electrophysiology, mobile health

Soumyo Mukherji did his B.Tech. in Instrumentation Engineering from Indian Institute of Technology (Kharagpur); MS in Mechanical Engineering from Colorado State University (Fort Collins, USA) and Ph.D. in Biomedical Engineering from University of North Carolina (Chapel Hill, USA). After his PhD he joined IIT Bombay in 1997, where he is now a Professor in the Department of Biosciences and Bioengineering . He was the Head of the Centre for Research in Nanotechnology and Sciences at IIT Bombay from 2010-2013, and is currently the Dean of Student Affairs at IIT Bombay. He also holds an Institute Chair Professorship. His research interests are in sensors and instruments for widescale deployment in resource constrained locales for medical and environmental applications, mobile health, security, etc., cardiac electrophysiology, and medical instrumentation in general. He is associated with a large number of projects of national importance, and is a PI in quite a few of them.

Ramakrishna Mukkamala

Michigan State University

Expertise:Cardiovascular System, Modeling, Patient Monitoring, Signal Processing

Ramakrishna Mukkamala (M’02) received the B.S.E. degree in Biomedical/Electrical Engineering from Duke University, Durham, NC, in 1993 and the S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, in 1995 and 2000, respectively.  He was a Postdoctoral Fellow/Research Engineer at the Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, from 2000 to 2002.  Since then, he has been on the faculty of the Department of Electrical and Computer Engineering at Michigan State University, East Lansing, MI, where he is currently an Associate Professor.  His research interests include biomedical signal processing and identification, modeling of physiologic systems, and cardiovascular physiology.  Dr. Mukkamala was a recipient of an AHA Scientist Development Grant in 2005, an NSF CAREER Award in 2007, and an MSU Teacher-Scholar Award in 2008.

Klaus-Robert Muller

Technical University Berlin

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.

Gernot Muller-Putz

Graz University of Technology, Austria

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.

Michael D. Naish

The University of Western Ontario 

Expertise: surgical robotics, medical mechatronics, device design, sensing systems

Michael D. Naish (S’96–M’03) received the BSc degree in computer science and the BESc degree in mechanical engineering from Western University, both in 1996, the MASc degree in mechanical engineering from the University of British Columbia in 1999, and the PhD degree in mechanical and industrial engineering from the University of Toronto in 2004. Since 2003, he has been with the Department of Mechanical and Materials Engineering at Western University, where he is currently an Associate Professor, cross appointed with the Department of Electrical and Computer Engineering, and is the Director of the Mechatronic Systems Engineering program. He is also a Scientist at Canadian Surgical Technologies and Advanced Robotics, Lawson Health Research Institute in London, ON, Canada, and a licensed Professional Engineer in the Province of Ontario. His research interests include mechatronic systems, device design, sensing systems, surgical training, minimally invasive surgery and therapy, and medical robotics.

Konstantina S. Nikita

National Technical University of Athens 

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).

Michael L. Oelze

University of Illinois at Urbana-Champaign

Expertise: Ultrasound, biomedical imaging, ultrasound-based therapies, ultrasonic imaging, microbubbles

Dr. Oelze is an expert in developing novel ultrasonic imaging techniques for improved diagnostics and developing ultrasound-based therapies for cancer. Specifically, Dr. Oelze has developed coded excitation schemes for improved imaging performance and developing quantitative ultrasound techniques to improve the detection and classification of breast cancer, thyroid cancer, detection of micrometastases in lymph nodes, and quantifying diffuse liver disease. Quantitative ultrasound imaging techniques provide additional sources of image contrast over conventional ultrasound imaging. He has worked to implement these techniques on clinical ultrasonic imaging systems and worked with a company to develop ultrasound tomography for breast cancer diagnosis using inverse scattering techniques. He has also used these quantitative ultrasound techniques to monitor and assess the effects of cancer therapy on tumors. Specifically, Dr. Oelze has examined the ability of ultrasound to monitor application of thermal ablation and hyperthermia techniques on cancer and assess the acute response of tissues to these therapies, including radiation and chemotherapy. Dr. Oelze has developed novel and unique beamforming techniques for improved imaging. Dr. Oelze has also been involved in developing novel ultrasound-based cancer therapies. For example, Dr. Oelze has helped develop techniques to synergistically enhance traditional cancer therapy techniques by first pre-sensitizing tumors using ultrasound-activated microbubbles. Microbubbles are used clinically as ultrasound contrast agents, are approved by the FDA, and are commercially available. The ultrasound-activated microbubbles target a specific tissue volume (e.g., a tumor) through localization of the ultrasound fields and the vasculature of the tissue volume is then perturbed by the oscillation and cavitation of the microbubbles. The result of the mechanical action of the microbubbles on a tumor volume is to make the volume more sensitive to the application of traditional cancer therapies like radiation, chemotherapy or hyperthermia.

Xiaochuan Pan

University of Chicago

Expertise: Tomographic imaging, Computed tomography, Optimization-based image reconstruction, CT physics, Iterative algorithms, PET/SPECT

Xiaochuan Pan received his B. S. in Physics from Beijing University in 1982, M. S. in Physics from Institute of Physics of Academia Sinica in 1985, M. S. and Ph. D. in Physics from The University of Chicago in 1988 and in 1991. He subsequently became a post-doctoral fellow, and then an NIH post-doctoral fellow, in medical imaging physics in the Department of Radiology at The University of Chicago before being promoted to the rank of Assistant Professor in November 1994. He is currently a full Professor with tenure in the Department of Radiology, Department of Radiation and Cellular Oncology, the College, the Committee on Medical Physics, and the Cancer Research Center at The University of Chicago.

His research interest centers on imaging science and its biomedical applications. Dr. Pan has authored and co-authored more than 370 journal and proceeding papers, received numerous awards for his contributions to medical imaging, and is a Fellow of the American Association of Physicists in Medicine (AAPM), the American Institute for Medical and Biological Engineering (AIMBE), the Institute of Electrical and Electronics Engineers (IEEE), the Optical Society of America (OSA), and the Society of Photo-Optical Instrumentation Engineers (SPIE).

He has served, and is serving, as the chair and/or a charter member of study sections and/or grant reviewer for National Institutes of Health (NIH), National Science Foundation (NSF), National Science Foundation of China (NSFC), Natural Sciences and Engineering Research Council of Canada (NSERCC), and other funding agencies and universities. He is an Associate Editor, or member of Editorial Boards, for a number of journals in the field, including IEEE Transaction on Medical Imaging, IEEE Transactions on Biomedical Engineering, Physics in Medicine and Biology, Computerized Medical Imaging and Graphics, Journal of Cardiovascular CT, IEEE Journal of Translational Engineering in Health and Medicine, Journal of X-ray Science and Technology, and Computed Tomography Theory and Applications. Dr. Pan has also served, and is serving, as conference chair, theme chair, session chair, and technical or scientific committee member for international conferences such as Conferences of IEEE Biomedical Engineering Society, IEEE Medical Imaging, Radiological Society of North America (RSNA), and American Association of Physicists in Medicine (AAPM).

Dr. Pan is mentoring, and has mentored, a number of students and post-doctoral fellows, who have also received numerous awards for their accomplishments. Many of his past students and post-docs have successfully developed their own research programs in academic institutions and leading industrial R&D centers, and have established themselves as active investigators recognized by the peers in their research areas.

Stephen. D. Patek 

University of Virginia

Expertise: diabetes technology, artificial pancreas, wireless health, medical decision support, simulation, stochastic control

Stephen Patek is an Associate Professor of Systems and Information Engineering at the University of Virginia, working generally in the theory and practice of stochastic optimization and control. He has been involved in diabetes technology research since 2007, contributing to control system design for the JDRF-funded “artificial pancreas” project, including (i) designing a supervisory control system for prevention of hypoglycemia within a modular architecture for closed-loop control of diabetes and (ii) accounting for human behavioral disturbances (eating and exercise). Dr. Patek is also actively engaged in Wireless Health, focusing particularly on wireless protocol mechanisms for dynamically allocating bandwidth for end-users operating in constrained networks. Dr. Patek received his B.S. in Electrical Engineering from the University of Tennessee in 1991. He received his M.S.E.E. and Ph.D. degrees from the Massachusetts Institute of Technology in 1994 and 1997, under an ONR Fellowship.

James Patton 

University of Illinois at Chicago

Expertise: Neurorehabilitation through novel interfaces; Automatic feedback control theory; Dynamics and simulation; Optimization; Mechatronics and haptic development; Human-machine interfaces; Robotic

James L. Patton is Professor of Bioengineering and an Adjunct in Computer Science at The University of Illinois at Chicago, and is a senior research scientist at the Rehabilitation Institute of Chicago (RIC). He also holds an affiliate positions in Physical Medicine and Rehabilitation, Mechanical and Biomedical Engineering at Northwestern University. He was born in Ann Arbor, Michigan in but grew up in Racine, Wisconsin. He was educated in Mechanical Engineering and Engineering Science (dual BS, University of Michigan) Theoretical Mechanics (MS, Michigan State University), and Biomedical Engineering (Ph.D., Northwestern University). He worked for Ford and as a cyclotron operator in nuclear medicine before turning his attention to academic pursuits of human movement control in 1990. His general interests involve robotic teaching, balance control, haptics, modeling, human-machine interfaces, and neurorehabilitation following brain injury. He is Editor in Chief of the IEEE-Engineering in Medicine and Biology (EMB) conference, a member of the Advisory committee for EMB, and has chaired the technical committee on biomedical robotics. He is also the Associate Director of the NIDRR Center for Rehabilitation Robotics, which has supported 16 major research projects and numerous initiatives that further the cause of using technology for restoring function.

Thomas Penzel

Charite University Hospital, Berlin

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.

Angel V. PeterchevAE-Peters-Terry

Duke University

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.

Josien Pluim

University Medical Center Utrecht

Expertise: Medical image analysis, image segmentation, image registration, motion correction, digital pathology, and Oncology.

Josien Pluim received a Master’s degree in Computer Science from the University of Groningen, The Netherlands, in 1996 and a PhD degree from Utrecht University, The Netherlands, in 2001. Her PhD research was performed at the Image Sciences Institute, University Medical Center Utrecht, on the topic of mutual information based image registration.

She is currently an associate professor at the Image Sciences Institute, Utrecht. Her research group works on various topics in medical image analysis, more specifically, on image registration and segmentation for oncology applications and for digital pathology.

Andrew E. Pollard

University of Alabama at Birmingham

Expertise: Cardiac arrhythmias, numerical modeling, experimental mapping

Andrew E. Pollard received the B.S., M.S., and Ph.D.degrees in Biomedical Engineering from Duke University, Durham, NC in 1983, 1985 and 1988, respectively. He is a Professor of Biomedical Engineering at the University of Alabama at Birmingham. Dr. Pollard’s primary research interests are in the study of cardiac arrhythmias, with particular emphasis on numerical modeling and experimental mapping.

Punam Saha

University of Iowa

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.

Mohamad Sawan

University of Montreal

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.

Julia Schnabel

King’s College London

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.

Patrick Segers

Ghent University

Expertise: Biofluid, tissue and solid mechanics for medical applications

Patrick Segers, PhD, is full 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 focussed 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-universitary masters program in biomedical engineering at the universities of Ghent (UGent) and Brussels (VUB) and an international Erasmus Mundus program which started in 2010.

Dinggang Shen

University of North Carolina at Chapel Hill

Expertise: Medical image analysis, neuroimaging analysis, segmentation, registration, and classification

Dinggang Shen, PhD, is a Professor of Radiology, Biomedical Research Imaging Center (BRIC), Computer Science, and Biomedical Engineering in the University of North Carolina at Chapel Hill (UNC-CH). He is currently directing the Center for Image Informatics, the Image Display, Enhancement, and Analysis (IDEA) Lab in the Department of Radiology, and also the medical image analysis core in the BRIC. He was a tenure-track assistant professor in the University of Pennsylvanian (UPenn), and a faculty member in the Johns Hopkins University. Dr. Shen’s research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 500 papers in the international journals and conference proceedings. He serves as an editorial board member for five international journals. He also serves in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.

Kirk Shung

University of Southern California

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.

Leif Sörnmo

Lund University

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).

Lawrence Staib

Yale University

Exerptise: Medical image analysis, functional imaging, diffusion weighted magnetic resonance image analysis, deformable models, image segmentation, image registration.

Lawrence Staib received his A.B in Physics from Cornell University, Ithaca, NY, in 1982 and his M.S., M. Phil. and Ph.D. degrees in Engineering and Applied Science from Yale University, New Haven, CT, in 1986, 1987 and 1990, respectively.  He is now Associate Professor of Biomedical Engineering, Diagnostic Radiology and Electrical Engineering at Yale University. He holds two patents. He is a member of the editorial board of Medical Image Analysis and has been guest editor for several international journals.  Dr. Staib’s primary research interests are in the development of methods for medical image analysis and quantification with applications in neuroscience, radiology and cardiology.

Caterina Stamoulis

Harvard Medical School

Exerptise: Neural Signal Processing; Bioinformatics; Neuroimaging; Image Processing; Statistics; Neurological Disorders

Dr Stamoulis received the BS, MS and PhD degrees from the Massachusetts Institute of Technology, and completed post-doctoral training at Harvard (Seismology), MIT (Neuroscience) and the Harvard School of Public Health (Biostatistics). She is currently Assistant Professor of Radiology at Harvard Medical School and Boston Children’s Hospital. Her primary research interests are in Computational Neuroscience and focus on the development of novel computational methods and mathematical models with the goal to robustly characterize the neurodynamic correlates of behavior across the lifespan as well as aberrant brain dynamics associated with neurodevelopmental and neurological disorders, particularly epilepsy, from high-dimensional neural signals. Her research also involves the development of signal processing approaches for improved analysis of genomic data. 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.

Masaru Sugimachi

National Cerebral and Cardiovascular Center

Expertise: cardiovascular model; hemodynamics; cardiovascular regulation; arterial baroreflex; white-noise analysis

Masaru Sugimachi received M.D. in 1974 and Ph.D. (biomedical engineering) in 1992 from Kyushu University, Fukuoka, Japan. After his basic training in cardiology, he moved to the Department of Cardiovascular Dynamics, National Cardiovascular Center in 1992. Since 2004, he chaired the Department and integrated the research team for the bionic cardiology, which functionally restores lost native biological regulation. He also led the research on comprehensive quantitative modeling of cardiovascular system, and automatic treatment of acute heart failure. In these researches, he has served as a principal investigator of national research projects. He is currently the Director of Department of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center. He is a member of the board of directors of Japanese Society for Medical and Biological Engineering, a member of IEEE and of EMBS, and a member of AHA. He filed 49 patents and published about 200 original papers in peer reviewed journals in the fields of cardiac mechanics, cardiovascular regulation, modeling of biological systems and bionic medicine.

Gábor Székely

Swiss Federal Institute of Technology

Expertise:  biomedical image analysis, image guided therapy, visualization, virtual and augmented reality, computational physiology, man/machine interaction

Dr. Gábor Székely obtained his Ph.D. from the Technical University of Budapest. In 1991 he joined the Computer Vision Laboratory of the ETH Zürich as a senior researcher, where he is currently the Head of the Medical Image Analysis and Visualization Group. He was elected Associate Professor in 2002 and promoted to the rank of Full Professor in 2008. Between 2001 and 2013 he has been the Director of the Swiss National Centre of Competence in Research on Computer Aided and Image Guided Medical Interventions, coordinating the work of over 100 research laboratories and clinical groups on the field of computer assisted surgery all over Switzerland. Since 2013 he is Chairman of the Swiss Institute of Computer Aided Surgery. His major research interest is developing algorithms and clinical systems for the optimal computer support of medical diagnosis, therapy, training and education.

Jie Tian

Chinese Academy of Sciences

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.

May Dongmei Wang

Joint Department of BME, School of ECE, WCI, IBB, and IPaT at Georgia Institute of Technology and Emory University

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.

Yi Wang

Cornell University

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.

Eung Je Woo

Kyung Hee University

Expertise: Impedance imaging, biomedical instrumentation, biomedical computing, inverse problem

Eung Je Woo received the B.S. and M.S. degrees in electronics engineering from Seoul National University in 1983 and 1985, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Wisconsin-Madison in 1990. From 1990 to 1999, he was Assistant and Associate Professor of the Department of Biomedical Engineering at Konkuk University. Currently, he is Professor of the Department of Biomedical Engineering, Kyung Hee University, Korea. Since 2002, he has been the director of the Impedance Imaging Research Center (IIRC). He teaches undergraduate and graduate courses on bioinstrumentation, bioimaging, and inverse problem. His research interests include electrical tissue property imaging, biomedical instrumentation, biomedical signal processing and computing. He is a senior member of the IEEE EMBS and a member of KOSOMBE.

Yoshi Yamamoto

University of Tokyo

Expertise: Biomedical signal processing, nonlinear and statistical bio-dynamics, cardiovascular physiology, autonomic neurosciences,health informatics

Yoshiharu Yamamoto was born in Tokyo, Japan, in 1960, and received the Ph.D. degrees from the University of Tokyo, Tokyo, Japan, in 1990. From 1989 to 1993, he was working as a Postdoctoral Researcher at the Department of Kinesiology, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, Ontario, Canada, mainly on bio-signal processing for human cardiovascular 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 of health sciences and education. His current interests lie in biomedical signal processing, nonlinear and statistical bio-dynamics, regulatory physiology, and health informatics. He has published >120 full refereed journal papers in English language, and is currently an Associate Editor of IEEE Transaction on Biomedical Engineering.

Fan-Gang Zeng

University of California Irvine

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.

Babak Ziaie

Purdue University 

Expertise: BioMEMS, Implantable wireless microsystems, Microfluidics, Lab-on-a-chip, Biosensors, Biomimetic sensors and actuators, drug delivery.

Babak Ziaie received his doctoral degree in Electrical Engineering from the University of Michigan in 1994.  From 1995-1999 he was a postdoctoral-fellow and an assistant research scientist at the Center for Integrated Microsystems (CIMS) of the University of Michigan.  He subsequently joined the Electrical and Computer Engineering Department of the University of Minnesota as an assistant professor (1999-2004).  Since Jan 2005, he has been with the School of Electrical and Computer Engineering at Purdue University where he is currently a professor.  His research interests are related to the biomedical applications of MEMS and Microsystems (BioMEMS).


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