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Faculty
Dr. Michela Chiappalone |
Dr. Michela Chiappalone graduated in Electronic Engineering (summa cum laude) in 1999 and obtained a PhD in Electronic Engineering and Computer Science from University of Genova (Italy) in 2003. In 2002 she has been visiting scholar at the Northwestern University in Chicago (USA). After a Post Doc at the University of Genova, in 2007 she joined the Istituto Italiano di Tecnologia (IIT) as a Post Doc. In 2013 she got a Researcher (Team Leader) position in the same Institution. In 2015 she has been Visiting Professor at Kansas University (USA), hosted by Prof. RJ. Nudo. From 2012 to 2015 she has been Coordinator of the FET Open European project BrainBow, judged excellent. In 2018, she joined the Rehab Technologies Lab of IIT. In 2021 she got a professorship position at the University of Genova, where she is now Associate Professor of Bioengineering. She has been named IEEE EMBS Distinguished Lecturer for the years 2021 and 2022. She authored 96 publications in International Journals, more than 70 peer-reviewed Conference papers and she gave more than 100 scientific talks at International/National Conferences and Research Institutions. She is also Editor of 2 Books. |
Dr. Kristy K. Brock |
Dr. Kristy K. Brock received her PhD in Nuclear Engineering and Radiological Sciences from the University of Michigan. After receiving her PhD, she joined the faculty at the University of Toronto (Radiation Medicine Program, Princess Margaret Hospital) and subsequently the faculty at the University of Michigan (Department of Radiation Oncology). She is currently a Professor with tenure in the Department of Imaging Physics at the University of Texas MD Anderson Cancer Center, where she is the Director for the Image-Guided Cancer Therapy Research Program. Her research has focused on image guided cancer therapy, where she has developed a biomechanical model-based deformable image registration algorithm to integrate imaging into treatment planning, delivery, and response assessment as well as to understand and validate imaging signals through correlative pathology. Her algorithm was licensed and incorporated into a commercial treatment planning system. Dr. Brock is board certified by the American Board of Radiology in Therapeutic Medical Physics and holds a joint appointment with the Department of Radiation Physics at MD Anderson. Dr. Brock has published over 150 papers in peer-reviewed journals, is the Editor of the book ‘Image Processing in Radiation Therapy’ and has been the PI/co-PI on over 25 peer-reviewed, industry, and institutional grants. She currently serves as the Vice Chair of Science Council for the American Association of Physicists in Medicine as well as Vice Chair of the Big Data Subcommittee. In addition, she is the Practitioner Representative for the Administrative Committee of the IEEE Engineering in Medicine and Biology Society and the Physics Representative of the American Society for Radiation Oncology Nominating Committee. |
Dr. Dimitrios I. Fotiadis |
Dr. Dimitris I. Fotiadis (Fellow, IEEE) was born in Ioannina, Greece in 1961. He received the Diploma degree from the National Technical University of Athens, Athens, Greece, in 1985, and the Ph.D. degree from the University of Minnesota, Minneapolis, MN, USA, in 1990, respectively, all in chemical engineering. He is currently a Professor of Biomedical Engineering in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, where he is also the Director of the Unit of Medical Technology and Intelligent Information Systems, and is also an Affiliated Member of the Foundation for Research and Technology Hellas, Institute of Molecular Biology and Biotechnology, Department of Biomedical Research. He was a Visiting Researcher at the RWTH, Aachen, Germany, and the Massachusetts Institute of Technology, Cambridge, MA, USA. He has coordinated and participated in more than 200 R&D funded projects (in FP6, FP7, H2020, and national projects), being the coordinator and technical coordinator in several of them. Prof. Fotiadis is an IEEE EMBS Fellow, EAMBES Fellow, Fellow of IAMBE, member of the IEEE Technical Committee of Information Technology in Healthcare, Editor-in-Chief of IEEE Journal of Biomedical and Health Informatics, Associate Editor of IEEE Reviews in Biomedical Engineering, IEEE Open Journal in Engineering in Medicine and Biology, and Computers in Biology and Medicine. His current research interests include multiscale modeling of human tissues and organs, intelligent wearable/implantable devices for automated diagnosis, processing of big medical data, machine learning, sensor informatics, image informatics, and bioinformatics. He is the recipient of many scientific awards including the one by the Academy of Athens. |
Dr. Alejandro F Frangi |
Dr. Alejandro F Frangi FREng FIEEE FSPIE FMICCAI FELLIS is the Bicentenary Turing Chair in Computational Medicine at the University of Manchester, UK, holding joint appointments at the Computer Science and Health Sciences Schools. He directs the Christabel Pankhurst Institute for health technologies research and innovation. As the Royal Academy of Engineering Chair in Emerging Technologies, his focus centres on Precision Computational Medicine for in silico trials of medical devices. His research vision earned him a prestigious ERC Advanced Grant from the European Research Council. He leads both the InSilicoUK Pro-Innovation Regulations Network and the UK Centre of Excellence on In Silico Regulatory Science and Innovation. To enhance public understanding of in silico technologies, he created and hosts the successful “In Silico Trials, Real Impact!” Podcast Series. Professor Frangi’s research sits at the intersection of medical image analysis and modelling, with emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). His expertise spans statistical methods in population imaging and in silico clinical trials. His interdisciplinary work has achieved significant translational impact across cardiovascular, musculoskeletal and neurosciences. |
Dr. Chwee Teck Lim |
Dr. Chwee Teck Lim is the NUSS Chair Professor at the Department of Biomedical Engineering and Director of the Institute for Health Innovation and Technology at the National University of Singapore. He conducts research in human diseases and develops medical sensing and wearable technologies for disease diagnosis and therapy. He has over 450 scientific publications, delivered over 420 plenary/lkeynote/invited talks and ha over 60 filed and granted patents. He also cofounded six startups. He and his team has garnered over 100 research awards and honours including elected fellowships in the US National Academy of Inventors, IUPESM, IAMBE, AIMBE, ASEAN Academy of Engineering and Technology, Academy of Engineering, Singapore and Singapore National Academy of Science. |
Dr. Jose Pons |
Dr. Jose Pons is a full Professor at the Department of Physical Medicine & Rehabilitation, Feinberg School of Medicine and at the Departments of Biomedical Engineering and Mechanical Engineering, McCormick School of Engineering, Northwestern University. He also serves as the Scientific Chair of the Legs & Walking AbilityLab at Shirley Ryan AbilityLab (formerly the Rehabilitation Institute of Chicago). Previously, he was Full Professor at the Center for Automation and Robotics (2008) and at Cajal Institute, Spanish National Research Council, where he led the Department of Translational Neuroscience and the laboratory for Neurorehabilitation.
Jose Pons is interested in the study and understanding of how central and peripheral sensorimotor mechanisms are orchestrated for the emergence of motor function. This includes the study of how sensory technology and processing can be used for an objective assessment of these mechanisms and functions. This line of research is also then used to get an insight on the neuromotor system, which can inform better technology-based interventions. He serves in the editorial board of Wearable Technologies, Frontiers in Neuroprosthetics, Bionics and Biomimetics, Translational Neuroscience, and a fellow of the AIMBE.
He graduated in Mechanical Engineering (Universidad de Navarra, Spain, 1992), and obtained a MSc in Information Technologies (Universidad Politécnica de Madrid, Spain, 1994), and a PhD in Physics (Universidad Complutense de Madrid, 1997), for his research work on dynamic optimization of robot mechanisms. |
Dr. Tammy Riklin Raviv |
Prof. Tammy Riklin Raviv is a faculty member at the School of Electrical and Computer Engineering at Ben-Gurion University (BGU) since 2012. Her research group focuses on developing deep learning models for the analysis of medical, biological, and natural images. She holds a B.Sc. in Physics and an M.Sc. in Computer Science, both from the Hebrew University of Jerusalem. In 2008, she earned her Ph.D. from the School of Electrical Engineering at Tel Aviv University.
From 2008 to 2012, she was a postdoctoral associate and research fellow at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, Harvard Medical School, and the Broad Institute of MIT and Harvard. She is also a recipient of the Fulbright and Ilan Ramon Foundation Postdoctoral Awards.
Prof. Riklin Raviv currently serves as the VP-Elect for Publications of the IEEE EMBS (Engineering in Medicine & Biology Society) and as an Associate Editor of the IEEE Transactions on Medical Imaging (IEEE TMI) journal. Additionally, she is a Technical Committee (TC) member of the IEEE Bio Imaging and Signal Processing (BISP) Committee.
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Dr. May Dongmei Wang |
Dr. May Dongmei Wang is Wallace H. Coulter Distinguished Faculty Fellow and full professor of BME, ECE, CSE at Georgia Institute of Technology (GT) and Emory University (EU) in Atlanta, Georgia, USA. She received a BEng from Tsinghua University China and MS/PhD from GT. She is Director of Biomedical Big Data Initiative, Georgia Distinguished Cancer Scholar, Petit Institute Faculty Fellow, Kavli Fellow, AIMBE Fellow, IAMBE Fellow, IEEE Fellow, and Board of Directors of American Board of AI in Medicine. Dr. Wang works in Biomedical and Health Informatics (BHI), Big Data, AI, and Metaverse for predictive, personalized, and precision health (pHealth). She published over 300 articles in referred journals and conference proceedings with over 16,700 Google Scholar citations, and has delivered more than 320 invited and keynote lectures. Dr. Wang is the Senior Editor for IEEE J-BHI, an AE for IEEE TBME and IEEE RBME. She is a panelist for NIH CDMA Study Section, NSF Smart and Connect Health, and Brain Canada. Dr. Wang helped found IEEE EMBS Biomedical and Health Informatics TC. She was 2014-2015 IEEE-EMBS Distinguished Lecturer and an Emerging Area Editor for Proceedings of National Academy of Sciences. Dr. Wang is IEEE-EMBS VP Conf, IEEE Future Directions and The International Academy of Med. and Bio. Eng. (IAMBE) Executive Committee Member. She was awarded GT Outstanding Faculty Mentor for Undergrad Research, and EU MilliPub Award for a high-impact paper cited over 1,000 times. Dr. Wang is 2023 ELATES (Executive Leadership in Academic Technology, Engineering and Science) Fellow, 2022 GT President LeadingWomen, 2021 GT Provost Emerging Leaders, and 2018-2021 GT Carol Ann and David Flanagan Distinguished Faculty Fellow. She was 2015-2017 GT BMI Co-Director in Atlanta Clinical and Translational Science Institute (ACTSI), Director of Bioinformatics and Biocomputing Core in NIH/NCI-sponsored U54 CCNE, and Co-Director of GT Center of Bio-Imaging Mass Spectrometry. Her research has been supported by NIH, NSF, CDC, Georgia Research Alliance, Georgia Cancer Coalition, Shriners’ Children, Children’s Health Care of Atlanta, Enduring Heart Foundation, Coulter Foundation, Imlay Foundation, Carol Ann and David Flanagan Foundation, Horizon Europe, Microsoft Research, HP, UCB, and Amazon. |