Editorial Board

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.

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.