Editorial Board

Emery N. Brown
Harvard University – M.I.T.

Professor Emery N. Brown is Edward Hood Taplin Professor of Medical Engineering and Computational Neuroscience, and Professor of Health Sciences and Technology at MIT; the Warren M. Zapol Professor of Anaesthesia at Harvard Medical School; and an anesthesiologist at Massachusetts General Hospital. Dr. Brown is an anesthesiologist-statistician whose methodological research develops signal processing algorithms to analyze neuroscience data. His neuroscience research is deciphering the neurophysiology of how anesthetics create the states of general anesthesia. Dr. Brown is a Member of National Academy of Science, National Academy of Medicine, National Academy of Engineering, National Academy of Inventors and the American Academy of Arts and Sciences. He is a fellow of the AIMBE, IEEE, IAMBE, Institute for Mathematical Statistics, and American Statistical Association, among others. He has received an NIH Director’s Pioneer Award, the Dickson Prize in Science, Swartz Prize for Theoretical and Computational Neuroscience, Pierre M. Galletti Award, and Gruber Neuroscience Prize.

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Tejal Desai
Brown University

Professor Tejal A. Desai is Sorensen Family Dean of Engineering at Brown University. An accomplished biomedical engineer and academic leader, Desai’s research spans multiple disciplines including materials engineering, cell biology, tissue engineering, and pharmacological delivery systems to develop new therapeutic interventions for disease. She seeks to design new platforms, enabled by advances in micro and nanotechnology, to overcome existing challenges in therapeutic delivery. She was President of the American Institute for Medical and Biological Engineering (AIMBE). Dr. Desai is a Member of National Academy of Medicine and National Academy of Inventors, a fellow of International Academy of Medical and Biological Engineering, AIMBE, and Biomedical Engineering Society. Desai’s work has been recognized by a number of awards including: Technology Review’s "Top 100 Young Innovators," Popular Science’s Brilliant 10, the Dawson Biotechnology Award, UCSF Chancellors Award for the Advancement of Women, and Controlled Release Woman in Science Award.

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Elisa E. Konofagou
Columbia University

Professor Elisa Konofagou is the Robert and Margaret Hariri Professor of Biomedical Engineering and Professor of Radiology as well as Director of the Ultrasound and Elasticity Imaging Laboratory at Columbia University in New York City. Her main interests are in the development of novel elasticity imaging techniques and therapeutic ultrasound methods. Elisa is a Member of the National Academy of Medicine, an Elected Fellow of the IEEE, the Acoustical Society of America, and the American Institute of Biological and Medical Engineering. She has co-authored over 260 published articles in the aforementioned fields. Prof. Konofagou serves as Associate Editor in the journals of IEEE Transactions in Ultrasonics, Ferroelectrics and Frequency Control, Ultrasonic Imaging and Medical Physics, and is recipient of a number of awards including: the CAREER award by the National Science Foundation (NSF), the Nagy award by the National Institutes of Health (NIH), the IEEE-UFFC Carl Hellmuth Hertz Award and the IEEE-EMBS Technological Achievement Award.

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Zhi-Pei Liang
University of Illinois Urbana-Champaign

Professor Zhi-Pei Liang is Franklin W. Woeltge Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He has made major and pioneering contributions to high-speed magnetic resonance imaging to enable real-time cardiac imaging and high-resolution molecular imaging of the brain. He is the recipient of Sylvia Sorkin Greenfield Award from Medical Physics (1990), Otto Schmitt Award from the International Federation for Medical and Biological Engineering (2012), Technical Achievement Award from the IEEE Engineering in Medicine and Biology Society (2014), and Gold Medal from the International Society for Magnetic Resonance in Medicine (2022). He is a Fellow of IEEE, ISMRM, AIMBE, the US National Academy of Inventors, and the International Academy of Medical and Biological Engineering. He has served as President of IEEE Engineering in Medicine and Biology Society (2011-2012) and as Chair-elect of the International Academy of Medical and Biological Engineering (2021-2024).

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Shuming Nie
University of Illinois Urbana-Champaign

Professor Shuming Nie is the Grainger Distinguished Chair in Engineering, Professor of Bioengineering, Chemistry, Materials Science and Engineering, Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, and Founding Dean of the College of Engineering and Applied Sciences at Nanjing University (China). His academic research is primarily in the areas of nanomedicine; image-guided cancer surgery; cell-based immunotherapy; wearable optoelectronic devices and digital health. Professor Nie has published over 350 papers, patents, and book chapters, and have delivered more than 500 invited lectures around the world. His scholarly work has been cited more than 87,000 times according to Google Scholar. Professor Nie received his BS degree from Nankai University (China) in 1983, earned his MS and PhD degrees from Northwestern University (Evanston, Illinois, 1984-1990), and did postdoctoral research at Georgia Institute of Technology and Stanford University (1990-1994).

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Allison M. Okamura
Stanford University

Professor Allison M. Okamura received the BS degree from the University of California at Berkeley, and the MS and PhD degrees from Stanford University. She is the Richard W. Weiland Professor of Engineering at Stanford University in the mechanical engineering department, with a courtesy appointment in computer science. She is a deputy director of the Wu Tsai Stanford Neurosciences Institute, and has been the editor-in-chief of the journal IEEE Robotics and Automation Letters. Her awards include the 2020 IEEE Engineering in Medicine and Biology Society Technical Achievement Award, 2019 IEEE Robotics and Automation Society Distinguished Service Award, and 2016 Duca Family University Fellow in Undergraduate Education at Stanford. She is an IEEE Fellow. Her research interests include haptics, teleoperation, virtual environments and simulators, medical robotics, soft robotics, neuromechanics and rehabilitation, prosthetics, and education.

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Xiaochuan Pan
University of Chicago

Professor Xiaochuan Pan is Professor of Radiology, Radiation & Cellular Oncology, Committee in Medical Physics, the College, and the University of Chicago Medicine Comprehensive Cancer Center at The University of Chicago. Research of Professor Pan’s lab centers on physics, algorithms, and engineering underpinning tomographic imaging and its biomedical and clinical applications. His research includes advanced theory and algorithms for conventional and spectral computed tomography (CT), positron emission tomography (PET), single-photo-emission computed tomography (SPECT), and tomosynthesis especially digital breast tomosynthesis (DBT) and digital lung tomosynthesis (DLT). He has also worked on MRI and investigated emerging imaging techniques, including electron-paramagnetic resonance imaging (EPRI), phase-contrast CT, and photo-acoustic tomography (PAT), among others. Dr. Pan’s lab has established continuous, close clinical and industrial collaboration. Dr. Pan is a Fellow of AAPM, AIMBE, IAMBE, IEEE, OSA, and SPIE. He is the recipient of the IEEE EMBS Technical Achievement Award. He is currently the Editor-in-Chief of IEEE Transactions on Biomedical Engineering.

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Thomas Penzel
Charité–Universitätsmedizin Berlin

Prof. Dr. Thomas Penzel is Scientific Chair of Sleep Center, Physicist, Human Biologist, Physiologist, Somnologist at Charite University Hospital, Berlin, 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. 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 an IEEE EMBS senior member.

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Nicholas A. Peppas
University of Texas Austin

Professor Nicholas A. Peppas is the Cockrell Family Regents Chair in Engineering and Director of the Institute for Biomaterials, Drug Delivery and Regenerative Medicine at the University of Texas at Austin, with appoints in the Department of Biomedical Engineering, the McKetta Department of Chemical Engineering, the College of Pharmacy, and the Dell Medical School. He is a world leader in biomaterials, controlled drug delivery, and bionanotechnology. Of particular note is his lifetime effort to rationalize the design and development of biomaterials, drug delivery systems and medical devices. This has led to the development of the mathematical and physicochemical foundations of these fields including several theories and equations, widely used now in biomedical engineering. He has been recognized by more than 150 international awards including the IEEE EMBS Academic Career Achievements Award. Dr. Peppas is a Member of National Academy of Engineering, National Academy of Medicine, and the American Academy of Arts and Sciences.

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Jose C. Principe
University of Florida

Professor Jose C. Principe is a Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Florida. He is the Eckis Professor and the Founder and Director of the University of Florida Computational NeuroEngineering Laboratory (CNEL). His primary area of interest is statistical signal processing with adaptive neural models. The CNEL Lab is studying signal and pattern recognition principles based on information theoretic criteria (entropy and mutual information) and applying these advanced algorithms to Brain Machine Interfaces (both motor as well as somatosensory feedback). Dr. Principe is a Fellow of IEEE, AAAS, NAI, International Academy of Medical and Biological Engineering, and American Institute for Medical and Biological Engineering. He is the Past-Editor in Chief of the IEEE Transactions on Biomedical Engineering and IEEE Reviews in Biomedical Engineering, and Past-President of the International Neural Network Society. He is a recipient of the IEEE EMBS Career Award, the IEEE Neural Network Pioneer Award, and the IEEE SP Shannon-Nyquist Award.

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Shankar Subramaniam
University of California San Diego

Professor Shankar Subramaniam is a Distinguished Professor of Bioengineering, Computer Science & Engineering, Cellular & Molecular Medicine, and Nanoengineering, and Joan and Irwin Jacobs Endowed Chair in Bioengineering and Systems Biology at the University of California San Diego (UCSD). Research in the Subramaniam laboratory spans several areas of bioinformatics, systems biology and medicine. He was the founding Director of the Bioinformatics and Systems Biology Interdisciplinary Program and served as Chair of Department of Bioengineering at UCSD. He was named a distinguished scientist at the San Diego Supercomputer Center. He is a Fellow of the International Academy of Medical and Biological Engineering, American Institute for Medical and Biological Engineering, American Association for the Advancement of Science, and is a recipient of the UCSD Chancellor’s Award for Research Excellence, and Genome All Star, Smithsonian Foundation and Laboratory Automation awards. Dr. Subramaniam is a Past President of IEEE Engineering in Medicine and Biology Society.

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Nitish V. Thakor
The Johns Hopkins University School of Medicine

Professor Nitish V. Thakor is a Professor of Biomedical Engineering, Electrical and Computer Engineering, and Neurology at Johns Hopkins and directs the Laboratory for Neuroengineering and NIH Neuroengineering Training program. Dr. Thakor’s technical expertise is in the areas of neural diagnostic instrumentation, neural microsystem, neural signal processing, optical imaging of the nervous system, rehabilitation, neural control of prosthesis and brain machine interface. He was the Editor in Chief of IEEE Transactions on Neural and Rehabilitation Engineering, and has been Editor in Chief of Medical and Biological Engineering and Computing. Dr. Thakor is a recipient of a Research Career Development Award from NIH and a Presidential Young Investigator Award from NSF. He is an elected Fellow of National Academy of Inventors, International Academy of Medical and Biological Engineering, American Institute of Medical and Biological Engineering, IEEE and Biomedical Engineering Society. Dr. Thakor is a recipient of many awards including IEEE EMBS Technical Achievement Award.

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Lihong Wang
California Institute of Technology

Professor Lihong Wang is Bren Professor of Medical Engineering and Electrical Engineering, Andrew and Peggy Cherng Medical Engineering Leadership Chair, and Executive Officer (aka Department Chair) of Medical Engineering at California Institute of Technology. He has pioneered the field of photoacoustic tomography, and published 560 peer-reviewed articles in journals, including Nature, Science, PNAS, and PRL. He was the Editor-in-Chief of the Journal of Biomedical Optics. He is a recipient of numerous awards including NIH Director’s Pioneer, NIH Director’s Transformative Research, and NIH/NCI Outstanding Investigator awards, the OSA C.E.K. Mees Medal, IEEE Technical Achievement Award, IEEE Biomedical Engineering Award, SPIE Britton Chance Biomedical Optics Award, IPPA Senior Prize, and OSA Michael S. Feld Biophotonics Award for “seminal contributions” to photoacoustic tomography and light-speed imaging. He is a Member of National Academy of Engineering, and a Fellow of the AAAS, AIMBE, Electromagnetics Academy, IAMBE, IEEE, NAI, OSA, and SPIE as well as a Foreign Fellow of COS.

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Guang-Zhong Yang
Shanghai Jiao Tong University

Professor Guang-Zhong Yang is the founding dean of the Medical Robotics Institute, Shanghai Jiao Tong University. He was the founding director of the Hamlyn Centre for Robotic Surgery, Imperial College London. Yang’s main research interests are in medical imaging, sensing and robotics. He pioneered the concept of perceptual docking for robotic control, which represents a paradigm shift of learning and knowledge acquisition of motor and perceptual/cognitive behaviour for robotics, as well as the field of Body Sensor Network (BSN) for providing personalized wireless monitoring platforms that are pervasive, intelligent, and context-aware. He is a Fellow of the Royal Academy of Engineering, IEEE, IET, IAMBE, AIMBE, MICCAI, CGI and a recipient of the Royal Society Research Merit Award and listed in The Times Eureka ‘Top 100’ in British Science. Professor Yang is the founding editor of Science Robotics. He was awarded a CBE in the Queen’s 2017 New Year Honour for his contribution to biomedical engineering.

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Yuan-Ting Zhang
City University of Hong Kong

Professor Yuan-Ting Zhang is the Chair Professor of Biomedical Engineering at City University of Hong Kong and concurrently the Chairman and Director of Hong Kong Center for Cerebro-cardiovascular Health Engineering at HK Science Park. He was the Professor at CUHK, the Sensing System Architect in Health Technology at Apple Inc., California, USA, the Founding Director of the Key Lab for Health Informatics of Chinese Academy of Sciences (CAS), and the Founding Director of CAS-SIAT Institute of Biomedical and Health Engineering. Prof. Zhang was the VP of IEEE EMBS, Past Editor-in-Chief (EIC) of IEEE Reviews in Biomedical Engineering, EIC of IEEE TITB, and the founding EIC of IEEE Journal of Biomedical and Health Informatics. His research interests include cardiovascular health engineering, unobtrusive sensing and wearable devices, neural network modeling and pHealth technologies. He was selected on the lists of China’s Most Cited Researchers by Elsevier and the top 2% of the world's most cited scientists by Stanford. He won a number of international awards including IEEE-EMBS best journal paper awards, IEEE-EMBS Outstanding Service Award, and IEEE-SA Emerging Technology Award. Prof. Zhang is an elected Fellow of IAMBE, IEEE, AIMBE and AAIA.

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