We are delighted to honor our JTEHM colleagues with five years or more service on the editorial board.
Steve Schachter, MD (Clinical Editor)
Clifford Dacso, MD, MPH, MBA (Clinical Editorial Board, Steering Committee)
Julian M. Goldman, MD (Clinical Editorial Board)
Gerald J. Kost, MD, PhD (Clinical Editorial Board)
David Livingston, MD, FACS (Clinical Editorial Board)
Nicola Zetola, MD, MPH (Clinical Editorial Board)
Metin Akay, PhD (Steering Committee)
Paolo Bonato, PhD (Steering Committee, Associate Editor)
Atam Dhawan, PhD (Steering Committee)
Qi Duan, PhD (Steering Committee)
Arturo Forner Cordero PhD (Steering Committee)
Jeffrey Kaye, MD (Steering Committee)
Thomas Penzel, PhD (Steering Committee)
Srini Tridandapani, MD, PhD (Steering Committee, Associate Editor)
Cesar Bandera, PhD (Associate Editor)
Mathias Baumert, PhD (Associate Editor)
David Fenstermacher, PhD (Associate Editor)
Hossam Haick, PhD (Associate Editor)
Anant Madabhushi, PhD (Associate Editor)
Manjunatha Mahadevappa, PhD (Associate Editor)
José del R. Millán, PhD (Associate Editor)
Luca Pollonini, PhD (Associate Editor)
Richard B. Reilly, PhD (Associate Editor)
Kenji Sunagawa, PhD (Associate Editor)
Bernhard H. Weigl, PhD (Associate Editor)
Ting Xia, PhD (Associate Editor)
Expertise: signal processing, signal processing, clinical neurology, movement disorders, cochlear implants
Richard Reilly, PhD, is Professor of Neural Engineering at Trinity College, Dublin, a joint position between the School of Medicine and School of Engineering. He is Director and a principal investigator of the Trinity Centre for Bioengineering (TCBE) and also a principal investigator at the Trinity College Institute of Neuroscience (TCIN). His research focuses on high-density electrophysiological and neuroimaging-based analysis of sensory and cognitive processing for clinical applications.
Kara McArthur is an American Medical Writers Association certified medical editor and writer. She has over 20 years of experience in scholarly publishing in general and in life sciences publishing in particular, including serving as editorial assistant and subsequently managing editor of Cambridge University Press’s International Journal of Technology Assessment in Health Care; as writer, editor, and project manager for the Abramson Center for the Future of Health, University of Houston, and Baylor College of Medicine; and as a freelance writer and editor.
Expertise: Development of novel methods for functional electrical stimulation and robotic systems for rehabilitation, Activities of daily living and practice of sport activities of neurological patients; Development of advanced methods to quantitatively assess the effects of rehabilitative programs both in terms of functional gains and in neural correlates; Design and implementation of randomized controlled trials and systematic reviews to promote evidence-based approaches in rehabilitation
Emilia Ambrosini is Assistant Professor at Politecnico di Milano. She received her Master Degree com laude in Biomedical Engineering from Politecnico di Milano in 2007 and her PhD degree com laude in Bioengineering in 2011. In 2009, she spent 9 months at the Technische Universitat of Berlin (Dr. T. Schauer), in order to develop control systems for neuroprosthesis. In 2013, she visited the Neuroplasticity & Neurorehabilitation Laboratory of the University of Birmingham (Dr. M.J. Grey), where she was focused on the development of novel methods based on Transcranial Magnetic Stimulation to evalutate cortical plasticity. Since 2011, she carried on her research activity at NearLab (Neuroengineering and Medicaal Robotics Laboratory, directed by Prof. G. Ferrigno) and she has been involved in several national (ricerca Finalizzata GR, project PRIN, FESleg in collaboration with INAIL – Centro Protesi) and international projects (MUNDUS, EU-FP7 ICT; RETRAINER, H2020 IA ICT; MOVECARE, H2020 ICT; ESSENCE, H2020 IA; NIH Biofeedback for CP). Her research interests are the development of novel methods for functional electrical stimulation and robotic systems for rehabilitation, daily life assistance and practice of sport activities of neurological patients, the development of advanced methods to quantitatively assess the effects of rehabilitative programs both in terms of functional gains and neural correlates, the design and implementation of randomized controlled trials and systematic reviews to promote evidence-based approaches in rehabilitation. She is co-authors of more than 45 papers in international journals indexed in Scopus (H-index 17, Sept 2021). She teaches the class of Biomedical Instrumentation (Bachelor in Biomedical Engineering) and of the laboratory class of Functional Evaluation Laboratory (Master in Biomedical Engineering).
Expertise: Cardiothoracic radiology, medical image perception, healthcare informatics
Expertise: mHealth, public health outreach, mobile multimedia, signal processing, active vision
Cesar Bandera, PhD, is Assistant Professor of Management at the New Jersey Institute of Technology and is Co-Founder of Cell Podium. His research focuses on mobile health.
Expertise: cardiac autonomic modulation, electrocardiography, electroencephalography, electrophysiological signals, sleep, heart rate variability, qt, repolarization, cardiology
Mathias Baumert (M09, SM13) received the PhD degree in biomedical engineering from the Ilmenau University of Technology, Germany in 2005. Subsequently he was awarded the Australian Postdoctoral Fellowship and the Australian Research Fellowship from the Australian Research Council. He is currently an Associate Professor at the School of Electrical & Electronic Engineering at the University of Adelaide, Australia. He has published over 100 peer-reviewed articles in academic journals. He is an Associate Editor of Biomedical Signal Processing and Control and the IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE. His research interests include processing of electrophysiological signals, computerized electrocardiography and electroencephalography, cardiac autonomic modulation and sleep.
Expertise: MEMS, pharmacokinetics, implantable devices, cardiovascular disease, auditory dysfunction, sensors, blast traumatic brain injury, additive manufacturing, medical devices
David Borkholder is the Bausch and Lomb Professor of Microsystems Engineering at the Rochester Institute of Technology. He holds adjunct appointments with the University of Rochester departments of Otolaryngology and Biomedical Engineering. Prof Borkholder received the BS degree in Microelectronic Engineering from RIT, and the MS and PhD degrees in Electrical Engineering from Stanford University. He has trained at the Marine Biological Laboratory at Woods Hole on the biology of the inner ear.
Expertise: MRI, physiological measurement, clinical engineering, signal processing, eye movement measurement.
Dr. Gerard Boyle is a Principal Physicist in the Department of Medical Physics & Bioengineering at St. James’s Hospital Dublin, Ireland, and an Adjunct Associate Professor in Medical Physics at Trinity College Dublin. He has a degree in Electronic Engineering from the National University of Ireland, an M.Sc. in Biomedical Engineering from the University of Aberdeen, and a Ph.D. from Trinity College Dublin. He has experience with a wide range of clinical technologies and areas including MRI, imaging, lasers, endoscopy and physiological measurement systems. He has research interests in eye movement measurement, and lectures on courses on imaging, medical device design and physiological measurement.
Expertise: smart sensing, biomedical signal processing, machine learning, sleep analysis
Chen Chen is an Associate Professor of the Human Phenome Institute at Fudan University. She received the M.S. degree in embedded system from Institut Supérieur d’Electronique de Paris (ISEP) in 2013 and the Ph.D. degree in computer science from Université Pierre et Marie Curie (UPMC) in 2016. From 2017 to 2021, she has worked as a Postdoctoral Fellow with the Center for Intelligent Medical Electronics (CIME), School of Information Science and Technology, Fudan University. Her research interests lie in biomedical engineering, focusing on wearable sensor systems, biomedical signal processing, sleep analysis, and personalized health monitoring.
Expertise: Sensor systems and health informatics, physiological and behavioral signal monitoring, signal processing and data fusion
Prof. Wei Chen is Professor, Director of Center of Intelligent Medical Electronics at School of Information Science and Technology, and Director of the Physiological Signal and Sleep platform in the Human Phenome Institute, Fudan University and adjunct professor at Eindhoven University of Technology, the Netherlands. She is also the Managing Editor of IEEE Reviews in Biomedical Engineering, Associate Editor of IEEE Journal on Biomedical Health Informatics (J-BHI) and IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE).
Her research interests include patient health monitoring, sleep monitoring, brain activity monitoring, smart sensor systems, wearable sensor systems, artificial intelligence, machine learning and data fusion for healthcare, ambient intelligence, personalized and smart environment.
Expertise: CT image analysis, medical image processing, pattern recognition, image segmentation, image analysis
Xinjian Chen, IEEE Senior Member, received his Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2006. After graduation, he worked on research projects with several prestigious groups: Microsoft Research Asia, Beijing, China (2006-2007); Medical Image Processing Group, University of Pennsylvania (2008-2009); Department of Radiology and Image Sciences, National Institutes of Health (2009-2011); and Department of Electrical and Computer Engineering, University of Iowa (2011-2012). In 2012, he joined the School of Electrical and Information Engineering, Soochow University where he serves as a Distinguished Professor and Director of Medical Image Processing, Analysis and Visualization Laboratory. Xinjian has published more than 70 peer-reviewed papers in prestigious international journals and conferences, and currently holds 3 granted patents and 8 pending status patents. Xinjian is a recipient of the National One Thousand Young Talents Award, China (2012), JiangSu Provincial High Level Creative Talents Award (2013), Beijing Science and Technology Advancement Award (2011). His research interests include medical image processing, quantitative image analysis, and their clinical applications.
Expertise: Development of biomedical embedded systems, non invasive diagnostic systems for point of care testing of patients, low cost medical devices using near infrared spectroscopy and non invasive stroke diagnostic systems
Shubhajit Roy Chowdhury (M’13–SM’17) was born in Kolkata, India, in 1981. He received the Ph.D. degree from the Department of Electronics and Telecommunication Engineering, Jadavpur University, in 2010. He is currently an Associate Professor at the School of Computing and Electrical Engineering, Indian Institute of Technology, Mandi, India. He is a Life Member of the Indian Statistical Institute. He is keenly interested in the educational system and its necessary transformation. He has published over 100 papers in international journals and conferences. His research interests span around the development of biomedical embedded systems, non invasive diagnostic systems for point of care testing of patients, low cost medical devices using near infrared spectroscopy and non invasive stroke diagnostic systems. He is a member of the VLSI Society of India and a Life Member of the Microelectronics Society of India and the Telemedicine Society of India. He was a recipient of the University Gold Medal in 2004 and 2006, for his B.E. and M.E. degrees, respectively, the Altera Embedded Processor Designer Award in 2007, and four Best Paper Awards. He received the award of the Fellow of Society of Applied Biotechnology by the Society of Applied Biotechnology in 2012. He was awarded the Young Engineers’ Award by the Institution of Engineers, India (2012–2013), for his outstanding contribution in the field of electronics and telecommunication engineering. He is the recipient of Young Neurologists’Award from the World Stroke Organization in the year 2016 and also the recipient of Outstanding Reviewer Award from Elsevier’s Journal of Neuroscience Methods in the year 2018. He is an Associate Editor of the Journal of Medical Systems and IEEE ACCESS. He is a Reviewer for the IEEE TRANSACTIONS ON VLSI SYSTEMS, the ACM Transactions on Design Automation of Electronic Systems, the Journal of Medical Systems, the Medical and Biological Engineering and Computing, the Computers in Biology and Medicine, the Computers Methods and Programs in Biomedicine, and other reputed journals.
Expertise: non-linear biosignal analysis, non-linear dynamical analysis, signal & image processing, heart rate variability signal analysis, linear and non-linear time-varying analysis, smartphone application, time-frequency analysis
Ki H. Chon received the B.S. degree in electrical engineering from the University of Connecticut, Storrs; the M.S. degree in biomedical engineering from the University of Iowa, Iowa City; and the M.S. degree in electrical engineering and the Ph.D. degree in biomedical engineering from the University of Southern California, Los Angeles. He spent three years as an NIH Post-Doctoral fellow at the Harvard-MIT Division of Health Science and Technology. He is currently the John and Donna Krenicki Endowed Chair Professor and Head of Biomedical Engineering at University of Connecticut, Storrs, CT.
He has published more than 114 peer-reviewed journal articles to date and has 6 U.S. patents granted. His patent on real-time detection of atrial fibrillation algorithm has been licensed to a Holter company and the Holter is currently on the market.
He was an Associate Editor of the IEEE Transactions on Biomedical Engineering from 2007-2013. He has chaired many international conferences including his role as the Program Co-Chair for the IEEE EMBS conference in NYC in 2006, and as the Conference Chair for the 6th International Workshop on Biosignal Interpretation in New Haven, CT in 2009. He is a fellow of the American Institute of Medical and Biological Engineering and of the International Academy of Medical and Biological Engineering.
Expertise: upper limb protheses, human-machine interfaces, grasping and manipulation
Christian Cipriani, PhD, is currently a Professor and the Director of The BioRobotics Institute, Scuola Superiore Sant’Anna, Pisa, Italy. His research interests cover all aspects related to the development, clinical implementation and assessment of thought-controlled upper limb prostheses and its components. He is also the Founder of Prensilia S.r.l., a spin off company of the Scuola Superiore Sant’Anna that produces and markets robotic hands.
Expertise: sensors, decision making, cyberphysical systems, metabolomics, proteomics
Founding co-editor-in-chief of JTEHM. Philip J. Carroll, Jr. Professor in Translational Molecular & Cell Biology and Professor of Medicine, Baylor College of Medicine; Distinguished Research Professor, College of Technology, University of Houston; Hugh Roy and Lillie Cranz Cullen University Professor, University of Houston; Adjunct Professor, Electrical and Computer Engineering, Rice University.
Read more at: Baylor College of Medicine.
Expertise: medical imaging, computer aided diagnosis, POCT
Dr. Dhawan is Distinguished Professor of Electrical & Computer Engineering, Executive Director of Undergraduate Research and Innovation, and Vice Provost for Research and Development at NJIT. He has published over 215 research papers and book chapters. He has also authored and co-authored several books in medical imaging, and image analysis. He is a recipient of numerous awards including Martin Epstein Award (1984), NIH FIRST Award (1988), Sigma-Xi Young Investigator Award (1992), IEEE EMBS Early Career Achievement Award (1995), Doermann Distinguished Lecture Award (1999) and EMBS Distinguished Lecturer award (2012-2013). He is an IEEE Fellow and Co-Editor-In-Chief of the IEEE Journal of Translational Engineering in Health and Medicine. He was the Conference Chair of the IEEE 28th International Conference of Engineering in Medicine and Biology Society, New York in 2006, He served as the Conference Chair of IEEE International Conference on Point-of-Care Healthcare Technologies in 2013. Dr. Dhawan has chaired numerous NIH special emphasis and review panels including the NIH Chartered Study Section on Biomedical Computing and Health Informatics (2008-11). His research interests lie in medical imaging, medical image analysis, point-of-care technologies, pattern recognition and computer-aided-diagnosis.
Expertise: machine learning, medical image analysis, bioinformatics
Xiuquan Du received his Ph.D. degree in computer science from Anhui University in 2010, Hefei, China. He is currently an adjunct professor in Anhui University in the Department of Computer Science and Technology. His research interests include bioinformatics, medical image analysis and machine learning.
Expertise: medical image analysis, MRI, image reconstruction, motion analysis, ultrasound
Qi Duan received his Ph.D. with distinction in 2008 in Biomedical Engineering at Columbia University, on developing comprehensive 4D imaging techniques, from image reconstruction to final diagnosis, and general image analysis framework, under the supervision of Dr. Andrew F. Laine. In 2008, he joined NYU School of Medicine to work on developing the next generation MR scanners as well as state-of-arts MR coils for three years. He is currently a Staff Scientist in the Laboratory of Functional and Molecular Imaging, NINDS, NIH, Bethesda, Maryland, USA, where he is working on ultra-high field Magnetic Resonance Imaging techniques and the first ever 11.7T human scanner. He is the author and co-author of more than 70 peer-reviewed scientific publications and 3 book chapters in these domains.
During his Ph.D. study at Columbia, Qi Duan became an EMBS member since 2003 and heavily involved as a volunteer. In 2007, he founded the EMBS student chapter at Columbia and served as the first president. He was an Associate Editor of the IEEE Transactions on Biomedical Engineering from 2009 to 2013 and currently is on the editorial boards for the American Journal of Signal Processing and the International Journal of Basic and Applied Sciences. In 2015, he joined the steering committee for the Journal of Translational Engineering in Health and Medicine. He is also a frequent reviewer for more than 18 scientific journals and numerous conferences in the field. He has been an associate editor for ISBI 2014 and ISBI 2015, and an associate editor for the student competition for EMBC 2015. He was also a member of organizing committee for ISBI 2015. Since 2008, he is an active member of the technical committee on Biomedical Imaging and Image Processing Topics of the IEEE EMBS, and an active member in ISMRM safety committee.
Expertise: Ultra High Field MRI, medical imaging physics, MRI safety
Andrew Fagan, PhD, is a Consultant and Professor of Medical Physics at the Mayo Clinic, Rochester, Minnesota. He received his B.Sc. and M.Sc. degrees from the University of Dublin, Trinity College, Ireland and PhD degree from the University of Aberdeen, UK. He has broad experience across the field of Magnetic Resonance Imaging (MRI). His research focusses on the translation of ultra-high magnetic field MRI into the clinical domain, developing innovative imaging methodologies and investigating safety aspects of this technology.
Expertise: Movement Disorders, Clinical Neurology, Signal Processing, Wearable Devices, Application of Technology to Clinical Neurology.
Conor Fearon holds degrees in Electronic Engineering and Medicine from University College Dublin, Ireland. He subsequently undertook medical and neurology training at the Royal College of Physicians of Ireland. He completed his PhD in Electronic Engineering at Trinity College Dublin which focused on quantitative analysis of freezing of gait in Parkinson’s disease. He is currently completing a clinical fellowship in Movement Disorders at the University of Toronto and will be taking up a position as Consultant Neurologist at the Mater Misericordiae University Hospital and St Vincent’s University Hospital in Dublin shortly thereafter. His research interests include quantitative analysis and remote monitoring of movement disorders, biomedical signal processing and clinical applications of technology to medicine.
Expertise: molecular biology and genetics, bioinformatics, precision/personalized medicine, biomedical informatics
Dr. Fenstermacher is currently the Chief Research Information Officer for Virginia Commonwealth University (VCU), Director of Biomedical Informatics for the Center for Clinical and Translational Research, the Chief Research Information Officer for the Massey Cancer Center and Professor in the Department of Biostatistics. Previously he was the Founding Chair and Associate Professor of the Department of Biomedical Informatics at the Moffitt Cancer Center (MCC) and Chief Bioinformatics Officer for M2Gen. He has established and directed multiple informatics research programs for more than sixteen years at the University of North Carolina at Chapel Hill, the Abramson Cancer Center at the University of Pennsylvania, and The Moffitt Cancer Center. During his tenure in biomedical informatics, Dr. Fenstermacher has designed and directed the implementation of several bioinformatics and biomedical informatics distributed computing systems to support basic, translational and clinical research, including multiple institution research projects. He has also designed data management systems for more specialized projects including integrating patient-level clinical data, genomics (genome-wide association studies, massively parallel sequencing, array-based technologies) and other ‘omics data to support studies focused on cancer and other human diseases. Data management systems designed by Dr. Fenstermacher have included: collection and integration of subject clinical data; data quality methodologies, development of web-based forms for input, storage and retrieval of clinical and research data, customized data representations, data governance and data sharing using data warehouses and Grid technologies. Current work focuses on developing informatics resources that span the informatics continuum of Bioinformatics, Biomedical Informatics and Clinical/Medical Informatics specifically for precision medicine and health outcomes research.
Expertise: Electromyography, Kinematics, Cardiorespiratory physiology, Energy Expenditure, Exercise
Neil Fleming is an Assistant Professor within the School of Medicine at Trinity College Dublin. He holds a PhD. in Human Physiology and is an accredited exercise physiologist with the Irish Institute of Sport. Currently, he is director of the TCD Human Performance Lab and the course coordinator for the MSc. in Sports and Exercise eMedicine programme. His research focusses on neurophysiological control of human movement and the use of wearable technology to enhance neuromotor function in athletic and clinical populations.
Prof Arturo Forner Cordero is Associate Professor at the Department of Mechatronics Engineering and Mechanical Systems of the Polytechnic School of the University of São Paulo. He is the Head of the Biomechatronics Laboratory of the same Department. The lines of activity in research and technological development range from the Biomechanics and Motor Control of human movement to the development of upper and lower limb exoskeletons and biped robots. Currently, coordinates several projects for the study of motor control of the upper and lower limbs with national (CNPq) and international funding.
Expertise: development of novel hybrid chemical and biosensors and the integration of sensors into wireless, non-invasive and inexpensive sensor devices
Dr. Erica Forzani is Assistant Professor of in the School for Engineering of Matter, Transport, and Energy at Arizona State University (SEMTE), Deputy Director of ASU’s Center for Bioelectronics & Biosensors (CBB) at The Biodesign Institute, and Research Associate at Mayo Clinic, Arizona. Her research interests are the development of novel hybrid chemical and biosensors and the integration of sensors into wireless, non-invasive and inexpensive sensor devices. She is focused on health applications, and environmental health and safety. Currently, she has over 50 peer-reviewed publications, 11 patents and patent applications and 3 transferred intellectual properties. With a background in Clinical Chemistry, Chemistry, Engineering, and a passion in Lifestyle Behavioral Sciences, Erica directs her research, professional, and personal goals to bring new inspired-use technologies to real-world applications.
Expertise: physiological sensing, physiological sensing, algorithm, information driven decision support, signal processing
Yongji Fu, PhD, is the Director of Innovation at Hill-Rom, a global medical device company. He is responsible for the technical development of corporate Innovation group and provide long term vision and strategy for Hill-Rom’s future product portfolio. Prior to joining Hill-Rom, he held several leadership and scientific positions with Becton Dickinson, Sharp Laboratories of America and Siemens. His research interests include physiological sensing, machine learning algorithm and information driven therapeutic solutions.
Expertise: Natural Language Processing, Real-Time Analysis, Synthetic Data Generation, Clinical Support Systems, Predictive Analytics, Precision Medicine
Geoffrey M. Gray, PhD earned his doctorate in Computational Chemistry from the University of South Florida. Dr. Gray currently serves as both an Assistant Professor of Anesthesiology and Critical Care Medicine at Johns Hopkins School of Medicine and a Predictive Analytics Data Scientist at the Center for Pediatric Data Science and Analytic Methodology at Johns Hopkins All Children’s Hospital. Dr. Gray’s current domains of research include artificial intelligence and data science as applied to predictive analytics and pediatric medicine.
Expertise: design for translation, modeling of biomedical systems, tissue biomechanics, injury biomechanics
Michele J. Grimm, Ph.D., is the Wielenga Creative Engineering Endowed Professor of Mechanical Engineering at Michigan State University. She is a Fellow of the American Society of Mechanical Engineers, the Biomedical Engineering Society, and the American Institute of Medical and Biological Engineering. Dr. Grimm completed her B.S. in Biomedical Engineering and Engineering Mechanics at The Johns Hopkins University in 1990 and her Ph.D. in Bioengineering at the University of Pennsylvania in 1994. For the past 25 years, a significant portion of her research has involved injury biomechanics – from characterizing important tissue properties to developing appropriate models for the assessment of injury mechanisms. She previously served as a program director at the National Science Foundation, overseeing the Biomechanics and Mechanobiology, Engineering of Biomedical Systems, and Disability & Rehabilitation Engineering Programs. During this time, she served as co-chair of the White House’s Office of Science & Technology Policy (OSTP) Task Force on Research and Development for Technology to Support Aging Adults.
Expertise: biomedical signal processing, sleep disorders, neural engineering, machine learning, signal and image processing
Roberto Hornero is Full Professor in the Department of Signal Theory and Communications at University of Valladolid (Spain) and Director of the Biomedical Engineering Group at the University of Valladolid. He is also member of the Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN, Ministry of Health, Spain). He has opened different research lines in the field of biomedical signal processing: automatic processing of pulse oximetry and overnight polysomnography signals to help in the diagnosis of obstructive sleep apnoea, EEG and MEG analysis to help in the diagnosis of neurodegenerative diseases, retinal image analysis to automatically detect lesions associated with Diabetic Retinopathy, and the development of Brain Computer Interface systems to improve the quality of life of disabled people. He is fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES), Senior Member of IEEE Society for Engineering in Medicine and Biology (EMBS) and Vice-President of the Spanish Biomedical Engineering Society (SEIB).
Expertise: biosignal analytics, sleep medicine, cardiorespiratory signal analytics, sleep apnea and related
comorbidities and symptoms, physiological and neurophysiological measurement techniques
Samu Kainulainen is an adjunct professor and senior researcher at the University of Eastern Finland (Kuopio, Finland). He was born in Joensuu, Finland, in September 1992. He received the B.Sc., M.Sc., and Ph.D. degrees in medical physics from the University of Eastern Finland, in 2017, 2018, and 2020, respectively. He is currently working as a Senior researcher with the Sleep Technology and Analytics Research Group and as a Project Manager in a SmartSleep research infrastructure project. His research interests include cardiorespiratory signal analysis in the scope of sleep disorders and utilization of multimodal diagnostic information in medical diagnostics. Beyond research, he is in training to become a hospital technician for Emergency Response Unit of Finnish Red Cross and actively participates in teaching duties in his discipline. In addition, Kainulainen is an enthusiastic flyfisher and proud member of Protect Our Winters movement consisting of winter sport enthusiastic all over the world.
Expertise: Gait analysis, cognitive function, statistical modelling, dual task paradigms, ambulatory gait-EEG analysis, neural engineering, connected health.
Isabelle is a Lecturer in The School of Mechanical and Design Engineering at The Technological University Dublin, Ireland. Isabelle’s research focus is on aging and clinical populations. Specifically, investigating the efficacy of kinematic measures at (1) predicting conversion from cognitive health and (2) improving cognitive function through clinical interventions. Isabelle’s contributions span from statistical modelling of variables (gait, neuropsychological, effects of disease) in large datasets, examining the efficacy of novel experimental and acquisition methods (dual tasks, ambulatory gait-EEG) for employment in a clinical setting, and analysis methods for supervised and unsupervised gait. Isabelle holds a PhD in Neural Engineering, MSc in Bioengineering, PG Dip in Statistics and BA BAI in Mechanical Engineering from Trinity College, The University of Dublin in Ireland.
Unyoung (Ashley) Kim is Assistant Professor of Bioengineering at Santa Clara University where she serves as the Director of the Biological Micro/Nanosystems Laboratory. Her research interests involve the investigation of integrated microfluidic systems to address challenging needs in biomedical applications. She is also a member of the SCU Frugal Innovation Laboratory where she leads the Global Health Lab working on several projects to develop diagnostic platforms for environment/health monitoring for under-served communities and emerging markets.
Expertise: MRI, medical imaging physics, medical imaging phantoms, signal processing, cardiovascular / neurovascular measurement
Silvin Knight, PhD, is a Senior Research Fellow at Trinity College Dublin, Ireland. He holds a BSc in Physics (with Medical Physics and Bioengineering) from Technological University Dublin, Ireland, and a PhD from Trinity College Dublin, Ireland. He currently chairs the MRI and Biomedical Engineering research groups within the Irish Longitudinal Study on Ageing (TILDA). His research is broadly focussed on exploring the function of the cardiovascular and neurovascular systems using novel imaging, measurement, and analysis approaches, and he lectures on MRI physics at Trinity College Dublin.
Expertise: implantable neural stimulation devices, closed-loop systems, neuromodulation, machine learning, artificial intelligence, signal processing, wearable devices and embedded to distributive closed loop systems including long-term in-home monitoring, translational engineering in medicine.
Vaclav \’Vaa-tzla-v\ Kremen is currently an Associate Professor of biomedical engineering and Assistant Professor of neurology, Principal Engineer and Research Fellow at Neurology Department at Mayo Clinic Rochester, MN, USA and Senior Researcher at Czech Institute of Informatics, Robotics, and Cybernetics at Czech Technical University in Prague, Prague, Czech Republic.
Vaclav is a senior member of IEEE and member of Engineering in Medicine and Biology society (EMBS) as well as member of The International Federation for Medical and Biological Engineering (IFMBE).
Vaclav is interested in applications of advanced signal processing methods, artificial intelligence and machine learning in domain of biomedical engineering and analysis of multichannel, multiscale time domain signals (such as intracranial EEG, surface EEG, intra-cardiac ECG, multichannel surface ECG etc.). Vaclav has been developing research ideas in basic, clinical, and translational research for neurology and cardiology and is a co-author of over 90 research publications. Vaclav also co-authored several US and international patents of research he has been carrying over. He is passionate about translating research into a clinical practice and new device technologies to advance healthcare care and industry.
Expertise: microfluidics, lab-on-a-chip, electrochemical materials and sensors, nano biosensors
Dr. Eon Soo Lee is an Associate Professor with Tenure in Mechanical and Industrial Engineering, and the Principal Investigator in Advanced Energy Systems and Microdevices Laboratory at New Jersey Institute of Technology (NJIT) since 2013, and Founder and President of ABONICS, Inc which was spun off from NJIT in 2018 for the development and commercialization of the biochip technology for disease detection, diagnosis, and monitoring. Dr. Lee is a Senior Member of the National Academy of Inventors (NAI) since 2020. His pioneering research on graphene-based new electrochemical catalysts and lab-on-a-chip nano biodevices technologies has received many national and international awards and recognitions including Vanguard Series: Leaders in Higher Education (2018) from NJBIZ, New Jersey Health Foundation Innovation Award (2017), NIH and IEEE Best Design Award (2017) in Healthcare Innovation and Point-of-care Technology Conference, National Science Foundation Innovation-Corps Award (2016), TechConnect National Innovation Award (2017) and Defense Innovation Award (2017). Prior to NJIT, Dr. Lee has also established extensive researches on energy and microdevices in both academia and industries including Stanford University (2002-2007), Samsung (2007-2013) and Hyundai (1999-2001). In particular, at Samsung R&D Center as a Project Group Leader and Principal Research Engineer, Dr. Lee was awarded a prestigious Samsung Technology Award in 2011 due to his significant contribution to the innovative nanomaterials and electrochemical systems. He received his PHD (2007) and MS (2004) at Stanford University, and his BS (1999) at Yonsei University, Seoul, Korea, all in Mechanical Engineering.
Zilu Liang, PhD, is a Junior Associate Professor and the Founding Director of the Ubiquitous and Personal Computing Lab at the Kyoto University of Advanced Science, Japan, an Associate Research Fellow at the Institute of Industrial Science at the University of Tokyo, and a data science consultant for Dayzz Live Well Ltd., Israel. She is an avid supporter of the Quantified Self movement. She combines a wide variety of sensing, computing, and data mining techniques to tackle the challenges surrounding data collection, data analysis, and human-computer interaction in Quantified Self, with a strong focus on sleep and metabolism. Her recent research focuses on developing digital biomarkers for disease screening in free-living environments using off-the-shelf wearable and mobile devices, and on establishing longitudinal data analysis methods for discovering personalized and actionable insights in self-tracking health data.
Expertise: machine learning, multi-modal brain imaging, neural signal processing; EEG/fMRI analysis; neurofeedback control
Dr. Quanying is an assistant professor at Department of Biomedical Engineering, Southern University of Science and Technology (SUSTech), and PI of Neural Computing and Control lab. She received the B.S. degree in electrical engineering and the M.S. degree in computer science at Lanzhou University in 2010 and 2013. After receiving her Ph.D. degree in biomedical engineering at ETH Zurich in 2017, she joined Department of Computing & Mathematical Science, California Institute of Technology (Caltech) as a postdoctoral fellow.
Dr. Quanying Liu is interested in the intersection between machine learning, control theory and neuroscience. She has been working on neural signal processing, EEG and fMRI fusion modeling, neurofeedback control, and deep learning in brain science to explore the brain’s neurocomputing mechanisms and develop cutting-edge tools for clinical diagnosis and treatment of brain disorders.
Expertise: computational imaging and personalized diagnostics
Dr. Anant Madabhushi is a Professor of Biomedical Engineering; and on faculty in the Departments of Pathology, Biomedical Informatics, and Radiology and Imaging Sciences at Emory University. He is also a Research Health Scientist at the Atlanta Veterans Administration Medical Center. Dr. Madabhushi has authored more than 450 peer-reviewed publications and more than 100 patents either issued or pending in the areas of artificial intelligence, radiomics, medical image analysis, computer-aided diagnosis, and computer vision.
He is a Fellow of the American Institute of Medical and Biological Engineering (AIMBE), Fellow of the Institute for Electrical and Electronic Engineers (IEEE) and a Fellow of the National Academy of Inventors (NAI). In 2015, he was named by Crain’s Cleveland Business as one of “Forty under 40” making positive impact to business in Northeast Ohio. In 2017, he received the IEEE Engineering in Medicine and Biology Society (EMBS) award for technical achievements in computational imaging and digital pathology. His work on “Smart Imaging Computers for Identifying lung cancer patients who need chemotherapy” was called out by Prevention Magazine as one of the top 10 medical breakthroughs of 2018. In 2019, Nature Magazine hailed him as one of 5 scientists developing “offbeat and innovative approaches for cancer research”. In 2019, 2020, 2021 and 2022 Dr. Madabhushi was named to The Pathologist’s Power List of 100 inspirational and influential professionals in pathology.
Expertise: medical device technology development and biodesign
Anurag Mairal, PhD, MBA, is Director of Global Exchange Programs at Stanford University and Co-founder and Executive Vice President of Orbees Medical. His research interests include medical device technology development and biodesign. See Dr. Mairal’s full biography at Stanford Biodesign.
Silvestro Micera (M’96–SM’08) received the University degree (Laurea) in electrical engineering from the University of Pisa, Pisa, Italy, in 1996, and the Ph.D. degree in biomedical engineering from the Scuola Superiore Sant’Anna, Pisa, Italy, in 2000.
He is currently Professor of Bioengineering and Head of the Translational Neural Engineering Area at the Scuola Superiore Sant’Anna and Associate Professor of Bioengineering and Director of the Translational Neural Engineering Laboratory at the Ecole Polytechnique Federale de Lausanne (EPFL). In 2007 he was a Visiting Scientist at the Massachusetts Institute of Technology, Cambridge, MA, USA with a Fulbright Scholarship. In 2008 he was the Head of the Neuroprosthesis Control group and an Adjunct Assistant Professor at the Institute for Automation, Swiss Federal Institute of Technology, Zurich, Switzerland. His research interests include the development of hybrid neuroprosthetic systems (interfacing the nervous system with artificial systems) and of mechatronic and robotic systems for function and assessment restoration in disabled and elderly persons. He is author of several scientific papers and international patents. He served as Guest Editor of several biomedical engineering journals. He is a member of the Editorial Board of the Journal of Neuroengineering and Rehabilitation and of the Journal of Neural Engineering.
Prof. Micera was the recipient of the “Early Career Achievement Award” of the IEEE Engineering in Medicine and Biology Society, in 2009. He is currently Associate Editor of IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING and of IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING.
Expertise: clinical pathology, clinical chemistry, pathogen detection using molecular diagnostics, emergency and disaster medicine, global health
Dr. José del R. Millán is a professor and holds the Carol Cockrell Curran Chair in the Department of Electrical and Computer Engineering at The University of Texas at Austin. He is also a professor in the Department of Neurology of the Dell Medical School. He received a PhD in computer science from the Technical University of Catalonia, Barcelona, in 1992. Previously, he was a research scientist at the Joint Research Centre of the European Commission in Ispra (Italy) and a senior researcher at the Idiap Research Institute in Martigny (Switzerland). He has also been a visiting scholar at the Universities of Berkeley and Stanford as well as at the International Computer Science Institute in Berkeley. Most recently, he was Defitech Foundation Chair in Brain-Machine Interface at the École Polytechnique Fédérale de Lausanne in Switzerland (EPFL), where he helped establish the Center for Neuroprosthetics. Dr. Millán has made several seminal contributions to the field of brain-machine interfaces (BMI), especially based on electroencephalogram signals. Most of his achievements revolve around the design of brain-controlled robots. He has received several recognitions for these seminal and pioneering achievements, notably the IEEE-SMC Nobert Wiener Award in 2011 and elevation to IEEE Fellow in 2017. In addition to his work on the fundamentals of BMI and design of neuroprosthetics, Dr. Millán is prioritizing the translation of BMI to end-users suffering from motor and cognitive disabilities. In parallel, he is designing BMI technology to offer new interaction modalities for able-bodied people.
Expertise: Assessments of cognitive functioning, balance, and postural analysis, electroencephalography, Neural Engineering
Clodagh O’Keeffe is a post-doctoral researcher at Trinity College Institute for Neuroscience, Trinity College Dublin. Clodagh holds a BA in Psychology from University College Dublin and an MSc. in Neuroscience from Trinity College Dublin. In September 2016, Clodagh was awarded the Irish Research Council Enterprise Partnership Scheme Postgraduate Scholarship to complete a PhD in Clinical Medicine with a focus on Neural Engineering in Trinity College Dublin, The University of Dublin in Ireland. Her research focuses on developing multi-modal approaches to identify potential biomarkers of neurodegeneration in movement disorders through cognitive, postural, and electrophysiological methods.
Expertise: biosignal interpretation and diagnostic systems, diagnostic techniques, general physiological processes, signal and image processing
Thomas Penzel, PhD, is a physicist, human biologist, and physiologist. He is the scientific director of the sleep medicine center at Charite Universitätsmedizin Berlin, Germany since 2006. He is interested in cardiac, circulation, respiration and sleep regulation and related biosignals and diagnostic and therapeutic systems. For these physiological systems and for clinical applications translational research is regarded as future directing. He is member of several editorial boards of other journals and involved in the boards of several societies related to biomedical engineering and sleep medicine.
Expertise: biomedical optics, functional brain imaging, near infrared spectroscopy
Luca Pollonini, PhD, is an Assistant Research Professor of Engineering Technology at the University of Houston. He is also the research technical director at the Abramson Center for the Future of Health at the University of Houston and the Methodist Hospital Research Institute. His research interests include biomedical sensing, instrumentation and imaging based on optical technologies.
Expertise: biomedical signal processing, heart rate variability, electronic fetal health monitoring, cardiotocography, healthcare management, modelling and simulation of health systems, lean and six sigma in healthcare, health informatics, biomedical data mining, nanomedicine, microfluidics, biopolymer nanoparticles, contrast agents for magnetic resonance imaging
Alfonso Maria Ponsiglione, MSc and PhD in Biomedical Engineering, is researcher and assistant professor in Electronic and Information Bioengineering at the Department of Electrical Engineering and Information Technology of the University of Naples “Federico II”. Since 2014 he has been conducting research in the field of biomedical engineering and healthcare engineering. He worked as software programmer and healthcare ICT consultant for national private firms in the field of healthcare information systems. He carried out research at the Center for Advanced Biomaterials for Healthcare of the Italian Institute of Technology and participated in research collaborations with national and international research groups, covering different aspects and disciplines in the biomedical engineering domain, spanning from the processing of biomedical data and signals to the modelling and simulation of health systems, to the design of biomaterials and nanotechnologies for medical applications, and to the business development of biotech solutions. He carried out research in the field of nanomedicine, contributing to the design of nanocarriers for enhanced Magnetic Resonance Imaging applications by means of microfluidics. He has been continuously working in the field of biosignal processing, regarding the use of linear and nonlinear techniques to process and analyze foetal heart rate variability from cardiotocographic traces. He is also conducting research in the management of healthcare systems, with a specific focus on the application of Lean Six Sigma principles, statistical analysis, and simulation tools for the improvement of health services and care pathways. Currently, his main research activities are focused on both the analysis and classification of foetal heart rate signals by means of nonlinear methods and machine learning algorithms and on the development of combined discrete event simulation and machine learning approaches to support clinical decision-making and management of healthcare organizations
Expertise: biomedical optics, bioinstrumentation, optical imaging, fluorescence microscopy
Mahsa Ranji, Ph.D. is an Associate Professor of Computer and Electrical Engineering & Computer Science department and I-SENSE institute at the Florida Atlantic University (FAU). Dr. Ranji has received her PhD in electrical engineering from University of Pennsylvania followed by a postdoctoral training at Sanford-Burnham medical research institute in La Jolla.
Specializing in biomedical optics, Dr. Ranji’s focus is in developing non-invasive tissue diagnostic tools. She is the director of the Biophotonics Laboratory, which focuses on optical imaging particularly fluorescence imaging, instrumentation design, and image processing tool development for biomedical applications. Dr. Ranji collaborates with researchers at the Medical School to study tissue metabolism and oxidative stress in diseases using optical imaging.
Expertise: neural plasticity and learning, electrophysiological methodology in the study of cognitive functions, quantitative analysis of biomedical data
Dr. Sameshima graduated in Electrical Engineering (1979) and Medicine (1985) from the University of São Paulo. He received his Ph. D. degree in Neurophysiology from the same University (1992), and post-doctoral training in System Neuroscience at the University of California at San Francisco (1994). He is a co-founding member of the Discipline of Medical Informatics (1986), and holds an Associate Professorship at the Department of Radiology & Oncology at the Faculty of Medicine of the University of São Paulo. His main research themes are the study of neural plasticity, cognitive function and information processing aspects of mammalian brain assessed through behavioral, electrophysiological and computational neuroscience protocols. To functionally characterize collected multichannel neural activities and correlate them to animal or human behavior and cognitive function, he is pursuing and developing robust and clinically useful methods and measures for brain dynamics staging and neural connectivity inferences, for which he co-introduced the concept of partial directed coherence. At the graduate level, he teaches courses in neural plasticity and learning, electrophysiological methodology in the study of cognitive functions, and quantitative analysis of biomedical data. He is native of Bonotsu-cho (now part of Minamisatsuma-shi), Kagoshima Prefecture, Japan.
Expertise: computer vision, image analysis, microscope image processing, pattern recognition, data mining
Shishir Shah is an Associate Professor in the Department of Computer Science at the University of Houston. He received his B.S. degree in Mechanical Engineering, and M.S. & Ph.D. degrees in Electrical and Computer Engineering from The University of Texas at Austin. He directs research at the Quantitative Imaging Laboratory and his current research focuses on fundamentals of computer vision, pattern recognition, and statistical methods in image and data analysis with applications in video analytics, human behavior understanding, facial biometrics, and microscope image analysis.
Ciaran Simms, PhD, is Professor in Biomechanics in the School of Engineering at Trinity College Dublin. He is also a Principal Investigator in the Trinity Centre for Bioengineering, and current Head of the Department of Mechanical, Manufacturing and Biomedical Engineering. His research focuses on soft tissue mechanics, injury biomechanics and device design.
Expertise: Biomedical embedded systems, biomedical electronics, bioinstrumentation, artificial intelligence, computing systems, wearable devices, systems security.
Sharad Sinha is an Assistant Professor in Computer Science and Engineering at the Indian Institute of Technology Goa (IIT Goa). He has a PhD degree in Computer Science & Engineering from Nanyang Technological University (NTU), Singapore and a Bachelor degree in Electronics & Communication Engineering from Cochin University of Science and Technology, India. He has held research appointments at HKUST, Hong Kong and Temasek Labs at NUS, Singapore.
He belongs to the 1st cohort of Singapore Stanford Biodesign Innovation Class that focused on the complete lifecycle of medical device development, from design to post market surveillance. He is a Senior Member of IEEE, a recipient of 2017 IEEE/ACM William J McCalla ICCAD Best Paper Award and a Best Paper Award nomination at CASES 2018. His research is focused on computer architecture and computing systems design with applications in medical science as well as assistive technologies. A student project under his guidance won the IEEE Student Grant from IEEE Standards University in 2018 for a project on assistive navigation for people with memory loss symptoms.
Expertise: cardiovascular engineering, clinical cardiology, hemodynamics, cardiovascular homeostasis
Kenji Sunagawa, MD, PhD, is Chief of Cardiovascular Medicine at Kyushu University Hospital in Fukuoka, Japan. He also serves as the Chairman and Professor of the Research Institute of Angiocardiology at the Graduate School of Medical Sciences, and Dean of Digital Medicine Initiatives at the Kyushu University. His research interests include cardiovascular mechanics, cardiovascular regulation, heart failure, sudden death, bionic cardiology, and computational cardiology.
Expertise: Medical imaging focused on computed tomography, from system architecture, reconstruction algorithm to imaging methods, in MDCT (multi-detector CT), CBCT (cone beam CT), and recently phase contrast CT and photon-counting spectral CT, for overcoming the challenges in clinical practice of oncology, cardiology and neurology.
Atsushi Teramoto received the B.S. and M.S. degrees in electric engineering from Meijo university, Nagoya, Japan, in 1998 and the Ph.D. degree in engineering from Gifu University in 2008. From 1998 to 2008, he was a Research engineer with the Nagoya Electric Works, Co., Ltd. He became an Assistant Professor in the School of Medical Sciences at Fujita Health University in 2008, where he also became an Associate Professor from 2012 to 2019, and a Professor from 2019 to 2023. He is a Professor in the Faculty of Information Engineering at Meijo University. His research interests include artificial intelligence and image processing for medicine.
Expertise: Physical computing, wearable technologies, energy-efficient bioinstrumentation, neuroprosthetics, biomedical circuits and systems, cyber-physical systems
Hakan Töreyin is an Assistant Professor in the Department of Electrical and Computer Engineering, San Diego State University (SDSU), San Diego, CA, USA and a member of the SDSU Smart Health Institute. His research focuses on design of energy-efficient electronics and systems for wearable and prosthetic rehabilitation and proactive health monitoring applications, with emphasis on physical and real-time computing. He received the B.S. degree in electrical and electronics engineering from Middle East Technical University, Ankara, Turkey in 2007; and the M.S. and the Ph.D. degrees in electrical and computer engineering from Georgia Institute of Technology (Georgia Tech), Atlanta, GA, USA in 2008 and 2014, respectively. Between 2014-2016, he did postdoctoral research at Georgia Tech.
Expertise: medical imaging, computed tomography, ultrasound, cardiothoracic radiology, abdominal radiology, picture archiving and communication system, imaging informatics, safety and quality in healthcare
Srini Tridandapani (S’86-M’95-SM’12) received the B.E. degree from Anna University, Chennai, India, and the M.S.E.E. and Ph.D. degrees from the University of Washington, Seattle, WA, USA, all in electrical engineering. After postdoctoral training in computer science at the University of California, Davis, CA, USA, he was an Assistant Professor of electrical and computer engineering at Iowa State University. He then took the bold plunge into medical school and received the M.D. degree followed by residency training in radiology from the University of Michigan, Ann Arbor, MI, USA. He subsequently received a Masters degree in clinical and translational research and an M.B.A. from Emory University, Atlanta, GA, USA. He received clinical fellowships in cardiothoracic imaging and abdominal imaging also from Emory University. A board-certified radiologist, he is a Professor and Vice Chair for Imaging Informatics, Department of Radiology, at University of Alabama, Birmingham, AL, USA and an Adjunct Professor with the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. This work was performed while he was on the faculty of the Department of Radiology and Imaging Sciences at Emory University. His current research involves the development of novel gating strategies for optimizing cardiac computed tomography and innovative tools to increase quality and patient safety in medical imaging.
Expertise: electrophysiological signal processing, biomedical signal processing, hearing assistive devices, neural engineering, cognitive hearing science.
Alejandro Lopez Valdes is a research scientist at Eriksholm Research Centre, in Denmark. He holds a BSc in Biomedical engineering from ITESM in Mexico, an MSc in Bioengineering from The University of Groningen in The Netherlands and a PhD in Neural Engineering from the Trinity College Dublin, The University of Dublin in Ireland. He joined Eriksholm Research Centre as a research scientist in 2016. His research efforts focus on the electrophysiological aspects of hearing, building evidence towards intuitive and efficient, user-driven audiological support systems. His contributions span from audiological applications of electrophysiological signals to novel acquisition methods for ear-level electrophysiology. Areas of Expertise: electrophysiological signal processing, biomedical signal processing, hearing assistive devices, neural engineering, cognitive hearing science.
Expertise: Epilepsy, vagus nerve stimulation and other neuromodulation techniques, bioelectronic medicine and neurophysiological home-monitoring of neurological disorders
Kristl Vonck is Head of the Department ‘Head and Skin’ at Ghent University in Belgium. She was trained at Ghent University in Belgium, Yale University School of Medicine, New Haven, Connecticut, USA and the University of Stellenbosch, South Africa. She is a fellow of the EAN and member of the EU Joint Task Force of the International League Against Epilepsy. She is a founding member of the international Neuromodulation Task Force for COVID-19. Her research interests include epilepsy, vagus nerve stimulation and other neuromodulation techniques, bioelectronic medicine and neurophysiological home-monitoring of neurological disorders. In the translational research setting of the 4Brain Research team at Ghent University, her team investigates the mechanism of action, efficacy and side effects of several neurostimulation modalities. Both in animals and patients, crucial questions are investigated for the application of neurostimulation as a valuable treatment option for neurological disorders: stimulation parameters, open and closed loop neurostimulation applications, seizure detection and prediction algorithms, invasive versus non-invasive neurostimulation. Proof-of-concept and early innovative techniques for neurological monitoring@home are validated at the excellence Center for Neurofysiological Monitoring (CNM) of Ghent University Hospital before being investigated in a home environment. Kristl Vonck has published widely in international peer-reviewed journals (>200 papers), has authored seven book chapters and has given >200 international presentations.
Expertise: multiscale modeling of cancer, biophysical modeling of drug transport, translational oncology, drug pharmacokinetics and pharmacodynamics modeling (PKPD), mathematical modeling in cancer nanomedicine
Zhihui Wang, PhD, is an Associate Professor in the Mathematics in Medicine Program at Houston Methodist Research Institute. Dr. Wang is a leading expert in the fields of mechanistic biophysical modeling of drug transport, modeling-aided drug target discovery, and multiscale modeling of cancer progression and treatment. His current research focuses on integrating mathematical, physical, and statistical methods with experimental investigations and patient data analysis to quantitatively study tumor progression and invasion, with a focus on improving prediction and optimize treatment planning. In collaboration with experimental and clinical collaborators within the Texas Medical Center and broad, he developed a series of mathematical models for predicting patient-specific tumor response to treatment (including chemotherapy, immunotherapy, and nanomedicine) across different types of cancers, using standard clinical diagnostic measurements. His research goal is to translate his mechanistic models into clinic application for helping front-line physicians determine more effective, patient-specific drug treatment schedules (i.e., individualized, precision medicine) beyond the current standard. Dr. Wang published a scientific monograph: “An Introduction to Physical Oncology,“ CRC Press, July 2017, which discusses recent breakthroughs in modeling and optimizing cancer treatment as a combination of physical, engineering, and biological problems, rather than focusing exclusively on the biological aspect.
Expertise: X-ray computed tomography, PET, SPECT, medical imaging, image processing, digital signal processing
Ting Xia, Ph.D is a reconstruction scientist at Toshiba Medical Research Institute, USA. Dr. Xia received her Ph.D. in Bioengineering from the University of Washington, Seattle, in 2012. Her research interests include medical imaging, image processing, image reconstruction, medical physics, pattern recognition and signal processing.
Expertise: pervasive healthcare, physical activity analytics, multimodal data fusion, dementia care
Dr Po Yang is a Senior Lecturer in Large-scale Data Fusion at Sheffield University, UK. He has generated more than 80 peer-reviewed scientific publications (30 IEEE Trans/Journal, 2 ESI Highly Cited Papers) in the fields of Pervasive Healthcare, Medical Image Processing, Health Data Analytic and Internet of Things (IoT) enabled healthcare applications. His research work has been supported by European FP6/FP7/H2020, UK EPSRC, Innovate UK, including 8 EU projects and 4 EPSRC/TSB funded projects. Also, he served as the Guest Editor for 5 International Journals (Pervasive and Mobile Computing, Journal of Biomedical Informatics, IEEE Journal of Internet of Things), and have chaired/co-chaired over 10 international conferences and workshops. He received 4 Best/Outstanding Paper Awards from IEEE iThings-2017, IEEE PiCOM 2015, HPCSC 2013, IEEE ICAC 2008, IEEE ICAC 2007. Department of Computer Science, University of Sheffield, Sheffield S1 4DP, U.K.
Expertise: signal processing, machine learning, wearable devices, health monitoring, smart-home robots
Zhilin Zhang is a senior research engineer in the Emerging Technology Lab in Samsung Research America–Dallas. He received the Ph.D. degree in electrical engineering (signal and image processing) from University of California at San Diego in 2012.
His research interests include signal processing and machine learning for biosignals, health monitoring, Neuroimaging, and smart-home robots.
He is a technical committee member in Bio-Imaging and Signal Processing of the IEEE Signal Processing Society (from January 2014 to December 2016), and a member of IEEE Signal Processing Society, of IEEE Engineering in Medicine and Biology Society, and of IEEE Robotics Society.