Kathy Grise, IEEE Future Directions Senior Director
Bio-sketch: Kathy Grise supports new technology initiatives, is the IEEE staff program director for the Digital Reality Initiative, the IEEE Technology Navigator AI, Future Directions and Industry Advisory Board Committees, and manages the digital presence team for Future Directions. Previous initiatives included big data and cloud computing. Ms. Grise serves as the Technical Program Chair of the IEEE COMPSAC 2020 Symposium – Data Sciences, Analytics, & Technologies (DSAT).Prior to joining the IEEE staff, Ms. Grise held numerous positions at IBM, and most recently was a Senior Engineering Manager for Process Design Kit Enablement in the IBM Semiconductor Research and Development Center. Ms. Grise led the overall IT infrastructure implementation, and software development in support of semiconductor device modeling verification, packaging, and delivery; device measurement and characterization data collection and management, and automation for device modeling engineers. Ms. Grise is a graduate of Washington and Jefferson College, and an IEEE Senior member.
|May Dongmei Wang, Georgia Tech. and Emory Univ./IEEE EMBS BHI-TC Chair
Bio-sketch: Dr. Wang is a Wallace H. Coulter Distinguished Faculty Fellow and full professor in the Departments of Biomedical Eng. and Electrical and Computer Eng. at Georgia Institute of Technology and Emory University. She received BEng from Tsinghua University China, and MS/PhD degrees from Georgia Institute of Technology. Her research is in Biomedical Big Data Analytics with a focus on Biomedical and Health Informatics (BHI) and AI for predictive, personalized, and precision health (pHealth). Dr. Wang published over 260 peer-reviewed articles in referred journals and conference proceedings and delivered over 240 invited and keynote lectures. She is a recipient of Georgia Tech Outstanding Faculty Mentor Award for Undergraduate Research, and a recipient of Emory University MilliPub Award (for a high-impact paper that is cited over 1,000 times). Currently, Dr. Wang is Director of Biomedical Big Data Initiative, a Kavli Fellow, a Georgia Cancer Coalition Distinguished Scholar, a Petit Institute Faculty Fellow, an AIMBE Fellow, an IAMBE Fellow, and a member of Board of Directors in American Board of AI in Medicine. She serves as the Senior Editor for IEEE Journal of Biomedical and Health Informatics, an Associate Editor for IEEE Transactions for BME and IEEE Reviews for BME, a permanent panelist for NIH CDMA study section, a NSF Smart and Connect Health panelist, and a panelist for Brain Canada and multiple European countries. During 2018-2020, she was Carol Ann and David Flanagan Distinguished Faculty Fellow of BME at Georgia Tech. In 2021, she is in Georgia Tech Provost’s Emerging Leaders Program, and in Executive Committee of IAMBE. During 2017-2019, she served as Vice President of IEEE EMBS, AIMBE Nomination Committee Chair, and Georgia Tech Biomedical Informatics Program Co-Director in Atlanta Clinical and Translational Science Institute (ACTSI). During 2015-2016, she was IEEE EMBS Distinguished Lecturer and an Emerging Area Editor for PNAS.
|Konstantina S. Nikita, National Technical Univ. of Athens, Greece
Bio-sketch: Prof. Konstantina Nikita, M.D., Ph.D., is a full Professor at the School of Electrical and Computer Engineering, National Technical University of Athens and the Irene McCulloch Distinguished Adjunct Professor of Biomedical Engineering and Medicine at Viterbi School of Engineering and Keck School of Medicine, University of Southern California. She is the Editor-in-Chief of the IEEE Journal of Antennas and Propagation and a member of the Editorial Board of the IEEE Transactions on Biomedical Engineering and IEEE Transactions on Antennas and Propagation. She has been the technical manager of several European and National R&D projects on fundamental research and practical applications. She has been Chair of the program/organizing committee of more than 50 international conferences and has served as keynote speaker at several international conferences and symposia. She has been the advisor of 29 completed Ph.D. theses, several of which have received various awards. She is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Founding Fellow of the European Association of Medical and Biological Engineering and Science (EAMBES), and a Fellow of the American Institute of Medical and Biological Engineering (AIMBE). She serves as chair of the LS7 Consolidator Grant Panel of the European Research Council (ERC), for granting investigator-driven frontier research in the domain of life sciences. Her current research interests include biomedical image computing and analytics, physiological systems modeling and identification, biomedical telemetry, bioelectromagnetics, intelligent health systems, medical decision support, and biomedical informatics. She has published 200 journal articles and 350 conference proceedings papers, is the author or editor of 12 books, and holds several patents for her discoveries. She has received various awards, among which the Bodossakis Foundation Academic Prize (2003) for exceptional achievements in “Theory and Applications of Information Technology in Medicine”.
|Technical Program Co-Chairs:||Dimitrios I. Fotiadis, University of Ioannina, Greece
Bio-sketch: Prof. Dimitrios I. Fotiadis, FIEEE, FEAMBES, FIAMBE, Editor-in-Chief, IEEE J-BHI, is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.
Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related data. He developed wearable systems for the monitoring, treatment, motivation and coaching for patients with neurodegenerative diseases and other chronic conditions. Those systems combine a set of sensors and biosensors with decision making tools and patient/ecosystem feedback, as well as behavioral models and patient adherence mechanisms. In modelling, he developed multiscale models for the prediction of atheromatic plaque growth, based on realistic reconstruction of arteries from various imaging modalities. He pioneered the modelling of complex human structures, such as bones, to perform in silico clinical trials of various biomedical systems. He employed machine learning techniques to develop predictive models for chronic diseases, exploiting medical, lifestyle, environmental, and genetic data which are integrated with existing knowledge and models to improve diagnostic and predictive accuracy. He works in the harmonization and integration of data from longitudinal cohorts.
Dr. Fotiadis is the recipient of many awards, including the Academy of Athens Award and active member of the IEEE Engineering in Medicine and Biology Society, being a member of the Technical Committee of Biomedical and Health Informatics and the Chairman of the IEEE EMBS Greek Chapter. Dr. Fotiadis coordinated the organization of many EMBS conferences and other events.
|Yufei Huang, Univ. of Pittsburg Medical Center, USA
Bio-sketch: Prof. Yufei Huang is currently Professor and Leader in AI for Cancer Research at UMPC Hillman Cancer Center and Department of Medicine, School of Medicine, University of Pittsburg. Prior to that, he was Professor at the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA), and an adjunct professor at the Department of Population Health Science at the University of Texas Health San Antonio. He has been a visiting professor at the Center of Bioinformatics, Harvard Center for Neurodegeneration & Repair.
Dr. Huang’s expertise is in the areas of computational biology, brain-computer interface, machine learning, and artificial intelligence. One of the current focuses is to study the functions of mRNA methylation using machine learning and high throughput sequencing technologies, where his lab developed several widely used m6A data analysis pipelines. His lab also develops artificial intelligence systems for precision medicine and passive EEG-based brain-machine-interaction systems for an understanding of human cognitive behaviors. He was a recipient of the National Science Foundation (NSF) CAREER Award, UTSA Presidential Achievement Award on Research Excellence, Best Paper Award IEEE Biomedical and Health Informatics Conference, Best Paper Award of Artificial Neural Networks in Engineering Conference, and Best Paper Award of IEEE Signal Processing Magazine. He is a member of the UTSA Academy of Distinguished Researchers. His research has been supported by NSF, NIH, Air Force Office of Scientific Research, Army Research Lab, Department of Defense, and Qatar National Research Fund. He serves on IEEE Biomedical and Health Informatics Technical Committee and in the role of Associate Editor for multiple journals including IEEE Transactions on Signal Processing, IEEE Transactions on BHI, BMC Systems Biology, Frontiers Genetics, and Neurocomputing.
|Constantinos S. Pattichis, Univ. of Cyprus, Cyprus|
|Advisory Co-Chairs:||Stephen T. C. Wong, Houston Methodist/Weill Cornell, USA
Bio-sketch: Stephen T. C. Wong, PhD, PE, holds the John S. Dunn presidential distinguished chair and is the founding chair of systems medicine and bioengineering department, director of the T.T. & W.F. Chao center for BRAIN, director of translational photonics laboratory, director of the cellular and tissue microscopy core, and associate director of cancer center, Houston Methodist Hospital. He is a professor of pathology, radiology, laboratory medicine, and neurosciences at Weill Cornell Medicine and a professor of experimental therapeutics, neuroscience, and biomedical informatics at Texas A&M Health Science Center. The mission of Wong laboratory is to elucidate biological mechanisms and translate the findings into diagnostic and therapeutic strategies for cancer and neurological disorders.
Wong is also an industrial veteran – his career highlights include: led teams that automated the world’s first VLSI 1MB DRAM production (Bell Labs), developed one of the first web trading systems (Charles Schwab) and the first hospital-wide picture archiving and communication system (UC San Francisco), and headed the clinical product development departments at Philips Healthcare. At Harvard, he founded two campus-wide centers, one for bioinformatics research at Harvard Medical School, where he pioneered the integration of high content screening and systems biology to delineate disease mechanisms, and the other for functional and molecular imaging at Brigham and Women’s Hospital (BWH), including the creation of the first cyclotron facilities and MRI/PET research imaging cores at BWH. He is a Fellow of IEEE and AMIA and a licensed professional engineer in US. He is the Editor-in-Chief of Computerized Medical Imaging and Graphics. Wong dedicated the second half of his life in solving disease problems.
|Andrew Laine, Columbia University, USA
Bio-sketch: As director of the Heffner Biomedical Imaging Lab at Columbia, Professor Andrew Laine focuses on the medical signal and image processing, computer-aided diagnosis, and biomedical and imaging informatics. His work is based on imaging structures at the molecular, cellular, tissue, and organ levels of analysis. The goal is to develop biomedical technology for unmet clinical needs and to transition that technology into commercial products that will improve healthcare and save lives. Professor Laine was the first to use multiscale “wavelet” representation to enhance subtle details in mammograms. Today, the algorithm he developed in 1992 is used in almost all commercial digital mammography systems. Currently, Laine is applying multiresolution wavelet techniques to classify pulmonary emphysema. He is also collaborating on a project in medical informatics to enable clinicians to better diagnose a patient using both text and annotated findings from medical images. Dr. Laine received a BS in biological science from Cornell University in 1977, an MS in chemistry from the University of Connecticut in 1980, and a DSc in computer science from Washington University, St. Louis, in 1989. He is a fellow of the Institute of Electrical and Electronics Engineers, and a fellow of the International Federation for Medical and Biological Engineering. He is Co-Chair of the Center for Health Analytics in Columbia’s Data Science Institute, and past president of IEEE Engineering in Medicine and Biology Society.
|International Program Co-Chairs:||Metin Akay, Univ. of Houston, USA
Bio-sketch: Prof. Metin Akay received his B.S. and M.S. in Electrical Engineering from the Bogazici University, Istanbul, Turkey in 1981 and 1984, respectively, and a Ph.D. degree from Rutgers University in 1990. He also received an honorary Ph.D. from the Aalborg University in 2015. He is currently the founding chair of the new Biomedical Engineering Department and the John S. Dunn professor of biomedical engineering at the University of Houston. He is currently the President-Elect of IEEE Engineering in Medicine and Biology Society.
|Yuanting Zhang, Hong Kong Center for Cerebro-cardiovascular Health Engineering (COCHE)
Bio-sketch: Prof. Yuan-Ting Zhang is currently the Chair Professor of Biomedical Engineering at Department of Mechanical and Biomedical Engineering, City University of Hong Kong. He was the founding Director of the Key Lab for Health Informatics of Chinese Academy of Sciences (CAS), and the founding Director of the CAS-SIAT Institute of Biomedical and Health Engineering. Professor Zhang dedicated his service to the Chinese University of Hong Kong (CUHK) from 1994 to 2015 in the Department of Electronic Engineering. He was the founding Director of the Joint Research Center for Biomedical Engineering and the first Head of the Division of Biomedical Engineering at the CUHK, where he led the efforts in developing and launching three education programmes (BEng, MSc and MPhil/PhD) all in biomedical engineering. He was the Sensing System Architect in Sensing Hardware and Health Technology at Apple Inc., Cupertino in California, USA. Before joining the CUHK, he was a Research Associate and Adjunct Assistant Professor between 1989 and 1994 at University of Calgary, Canada. He started his academic career at Department of Electronics from Shandong University, China in 1976.
Prof. Zhang serves currently as the Editor-in-Chief for IEEE Reviews in Biomedical Engineering, Chair of 2018 Gordon Research Conference on Advanced Health Informatics, Chair of the Working Group for the development of IEEE Standard on Wearable Cuffless Blood Pressure Measuring Devices (IEEE 1708), Chair of 2016-2018 IEEE Award Committee in Biomedical Engineering, and a Member of the Fellow Membership Committee and Award Committee of the International Academy of Medical and Biological Engineering (IAMBE). Prof. Zhang was the Editor-in- Chief for IEEE Transactions on Information Technology in Biomedicine and the founding Editor-in-Chief of IEEE Journal of Biomedical and Health Informatics.
Prof. Zhang’s research interests include cardiovascular health informatics, unobtrusive sensing and wearable devices, BSN/BAN security, neural muscular modeling and pHealth technologies. Prof. Zhang was the Chief Scientist for a National “973” Project on multi-modality sensing and imaging of plaques in vascular systems founded by the Ministry Of Science and Technology (MOST) of China, a Coordinator of the CAS-FEB Innovation Team for developing multi-modality and high resolution medical imaging, and an Investigator/Co-PI in several international research collaboration projects including European Union FP7 “HeartCycle” project led by Philips Research. He served on grant reviewing panels/committees of more than 10 different countries/regions including Wellcome Trust in UK, NIH in USA, NSERC in Canada, ITC in Hong Kong SAR, NSFC in China, MOST of Israel, MOST of India, a National Founding Agency in Netherland, etc. He was frequently invited to speak at academic, healthcare and industrial conferences all over the world on topics related to cardiovascular health informatics, unobtrusive sensing and wearable technologies. He was selected on the 2014, 2015, 2016 and 2017 lists of China’s Most Cited Researchers by Elsevier. He won a number of international awards including IEEEEMBS best journal paper awards, IEEE-EMBS Outstanding Service Award, IEEE-SA 2014 Emerging Technology Award, IEEE-SA award for contributions to standard development, IEEE Greece Chapter Award for recognizing his contributions to biomedical and health informatics, and the Grand Award on e-Health from Asia Pacific ICT Alliance in Melbourne. Prof. Zhang is elected to be IAMBE Fellow, IEEE Fellow and AIMBE Fellow for his contributions to the development of wearable and m-Health technologies.
|Women’s Activities Co-Chairs:||Maria Fernanda Cabrera, Tech. Univ. of Madrid, Spain
Bio-sketch: Maria Fernanda Cabrera is Telecommunication Engineer, with a PhD in Biomedical Engineering, working as Associate Professor of Biomedical Engineering at the Telecommunication School, Universidad Politecnica de Madrid. She is the Innovation Director of Life Supporting Technologies (LifeSTech) research group, Financial Director of the UniversAAL IoT Coallition (UiC) and Secretary of the ACTIVAGE.ORG Association. Besides her teaching activities, she works as project coordinator and technical manager in different EU and national research funded projects. She has acted as project coordinator, technical or quality manager in 15 research projects funded by the European Commission. She has participated in over 40 EU projects so far. Her field of expertise covers a wide range of applications in the domains of the ICT applied to different sectors like health and social inclusion, including personalisation of services, data interoperability, semantics, and accessibility of ICT. She is the author of more than 120 scientific papers in national and international journals. Currently she is coordinating Gender STI, an H2020 research project on Gender Equality in Science, Technology and Innovation in dialogues between Europe and third countries; and BRAINTEASER (BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis), an H2020 project aiming to integrate societal, environmental and human health data to develop disease progression models for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS), and to predict the fast progression and adverse events of those diseases.
|Holly Jimison, Northeastern Univ., USA
Bio-sketch: Prof. Holly B. Jimison is a joint professor in the Khoury College of Computer Sciences and Bouvé College of Health Sciences at Northeastern University. As a fellow of the American College of Medical Informatics, Jimison has made significant and sustained contributions to the field of biomedical informatics in the areas of pattern recognition, decision support, and consumer health informatics.
|Yasemin Akay, Univ. of Houston, USA/ IEEE Senior Member/ Associate Editor, IEEE OJEMB/ Guest Editor for two Special Issues, IJMS
Bio-sketch: Dr. Yasemin M. Akay is currently an Instructional Associate Professor at the Department of Biomedical Engineering, Cullen College of Engineering, University of Houston. She received her B.S. in Pharmaceutical Sciences from the Hacettepe University, Ankara, Turkey and M.S. and PhD in Biomedical Engineering from Rutgers University, Piscataway, NJ, USA.
Dr. Byung-Jun Yoon, Texas A&M, USA
Bio-sketch: Dr. Byung-Jun Yoon received a B.S.E. (summa cum laude) degree from the Seoul National University (SNU), Seoul, Korea, in 1998, and the M.S. and Ph.D. degrees from the California Institute of Technology (Caltech), Pasadena, CA, in 2002 and 2007, respectively, all in Electrical Engineering. Since 2008, he has been with the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA, where he is currently an Associate Professor. Dr. Yoon holds a joint appointment at Brookhaven National Laboratory (BNL), Upton, NY, where he is a Scientist in Computational Science Initiative (CSI). He received the National Science Foundation (NSF) CAREER Award, the Best Paper Award at the 9th Asia Pacific Bioinformatics Conference (APBC), the Best Paper Award at the 12th Annual MCBIOS Conference, and the SLATE Teaching Excellence Award from the Texas A&M University System. Dr. Yoon’s main theoretical interests lie in Scientific AI/ML, optimal experimental design (OED), and objective-based uncertainty quantification. He is actively working on the development of these methods and their application to various scientific domains, including computational biology and materials science.
Dr. Bobak J Mortazavi, Texas A&M, USA
Bio-sketch: Bobak Mortazavi, PhD, is an Assistant Professor of Computer Science & Engineering at Texas A&M University. Prior to joining the computer science department, Dr. Mortazavi served as a postdoctoral associate in the Section of Cardiovascular Medicine, Department of Internal Medicine, at the Yale School of Medicine. His research focuses on the intersection of wearable technology, machine learning, and cardiovascular-focused clinical outcomes research, to develop longitudinal, personalized models of health.
|Mario A. Flores, Department of Electrical and Computer Engineering, Joint Appointment with the Department of Biomedical Engineering and Faculty, University of Texas Health Science Center
Bio-sketch: Mario A Flores is Assistant Professor of Electrical and Computer Engineering and Biomedical Engineering at the University of Texas at San Antonio, and joint program Faculty of Biomedical Engineering at the University of Texas Health Science Center. He received his M.S., and Ph.D. in Applied Mathematics and Electrical Engineering (Computational Biology Laboratory) from the University of Texas in 2010 and 2015, respectively. He was also a postdoctoral fellow at the National Center for Biotechnology Information of the National Institutes of Health from 2015 to 2019. His research focuses on DNA and RNA sequence methods, transcriptomics analysis, epigenetics, comparative genomics, and deep learning to study mechanisms of gene regulation. He has developed computational models capable of selective identification of gene regulatory elements and their strength based on sequence-specific signatures of tissue-specific enhancers, reprogramming of regulatory elements, and modulation of gene expression. Currently, he is investigating the mechanisms of gene regulation by transcribed enhancers using several technologies including single-cell RNA-Seq and Natural Language Processing.
|Young Professional Activities Co-Chairs:||Subhamoy Mandal, Maxer Endoscopy GmbH and Technical University of Munich, Germany
Bio-sketch: Dr. Subhamoy Mandal is currently a Clinical Applications Engineer and Research Lead with Maxer Endoscopy GmbH (part of Erbe Elektomedizin Group), and an Affiliated Researcher with the Technical University of Munich. Previously, he was a Research Scientist in Molecular Imaging at the Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg. Previously, he was a DAAD PhD scholar at the Chair of Biological Imaging at TU München, and the Institute of Biological and Medical Imaging at Helmholtz Zentrum München. He received his MS (by research) from the Indian Institute of Technology Kharagpur, and B.E. in Biomedical Engineering from Manipal University, Karnataka, India. He is a recipient of the prestigious DAAD PhD Scholarships and the UK Commonwealth Scholarship. His areas of interest are Medical Signal & Image Processing, Medical Imaging and point-of-care affordable healthcare technologies.
Subhamoy is an active Member of IEEE, and is a recipient of Computer Society’s Richard E. Merwin Student Scholarship. He was the 2013-14 Student Rep and AdCom member of IEEE Engineering in Medicine and Biology (EMB) Society, 2010-12 Chair, IEEE Education Society Student Activity Committee (IEEE EdSocSAC), and was awarded the IEEE Student Leadership Award (conferred by EdSoc) in 2013 for his contributions, He was the Founding Chair, IEEE EMB Student Club of IIT Kharagpur, which has been awarded the Best New Student Club/Chapter Award 2010 by IEEE EMBS Student and Member Activity Committee. He has been a Member of IEEE Ad-hoc Committee on Social Media Policy performing under the aegis of the IEEE Board of Directors, and also actively volunteered with the IEEE Student Branches at IIT Kharagpur(Treasurer 2009-10) and MIT Manipal.
Subhamoy has been closely associated with several corporate organizations including Philips, GE and Microsoft. During his internships with Philips BOP and the master’s thesis, he has focused on developing low-cost point of care technologies to address the healthcare challenges of emerging economies. At GE Global Research his primary area of focus has been Magnetic Resonance Imaging (MRI) and its application in Brain Iron Quantification, leading to early diagnosis of Alzheimer’s and other neurodegenerative diseases.
His goal is to achieve success in innovating technical and user-friendly solutions using the expertise of Biomedical engineering and domain knowledge of Medical Sciences by synchronized efforts in a collective venture.
|Li Tong, Shanghai United Imaging Healthcare Co., Ltd., China
Bio-sketch: Dr. Li Tong currently works as a medical imaging engineer at Shanghai United Imaging Healthcare Co., China. He received his B.S. in Biomedical Engineering from Peking University in 2014 and Ph.D. in Biomedical Engineering from Georgia Institute of Technology and Emory University in 2020. His research focuses on biomedical data analytics and medical imaging processing. Previously, he has investigated the application of machine learning and deep learning in multi-omics integration. Deep autoencoders have been utilized to implicitly model association or causal relationships among multi-omics (e.g., mRNA and DNA methylation) to improve the survival analysis for breast cancer. Currently, he is investigating the application of deep learning to advancing MRI techniques such as Fast MRI and super-resolution for MRI.
|Publicity Chair and Webmasters:||Julie Bernicker, Digital Content and Communications Specialist, Future Directions
Bio-sketch: Julie Bernicker graduated from Rutgers University in 2014 with a B.A. in Communications. She is currently the Digital Communications and Content Specialist for IEEE Digital Reality (DRI), an IEEE Future Directions initiative launched in support of Digital Transformation. Julie has been working at IEEE for over 5 years and has held several different roles. She is a marketing and communications professional with a creative mindset, keen attention to detail, and exceptional writing/editing skills. She has extensive experience managing digital projects and programs including webinars, websites, marketing graphics, email campaigns, and more.
|Wenqi Shi and Felipe Giuste, Georgia Tech and Emory Univ., USA|