Event Chairs

Ana Fred Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon) Portugal

Short Bio
Ana Fred received the M.S. and Ph.D. degrees in Electrical and Computer Engineering, in 1989 and 1994, respectively, both from Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal. She is a Faculty Member of IST since 1986, where she has been a professor with the Department of Electrical and Computer Engineering, and more recently with the Department of Biomedical Engineering. She is a researcher at the Pattern and Image Analysis Group of the Instituto de Telecomunicações. Her main research areas are on pattern recognition, both structural and statistical approaches, with application to data mining, learning systems, behavioral biometrics, and biomedical applications. She has done pioneering work on clustering, namely on cluster ensemble approaches. Recent work on biosensors hardware (including BITalino – and ECG-based biometrics (Vitalidi project) have been object of several nacional and internacional awards, as well as wide dissemination on international media, constituting a success story of knowledge transfer from research to market. She has published over 160 papers in international refereed conferences, peer reviewed journals, and book chapters. ... More >>

Hugo Gamboa Nova University of Lisbon Portugal

Short Bio
Hugo Gamboa is a Full Professor at the Physics Department of the Sciences and Technology Faculty of the Universidade Nova de Lisboa and member and coordinator of LIBPHYS. PhD in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon. As a Senior Scientist at Fraunhofer Portugal coordinates the Lisbon Office research group with the focus on Intelligent Systems. He is a founder and President of PLUX, a technology-based innovative startup in the field wireless medical sensors, focused on microelectronics, biosignal processing and software development.

Bethany Bracken Charles River Analytics Inc. United States

Short Bio
Bethany Bracken is a Principal Scientist at Charles River Analytics. At Charles River, she currently works on projects using neurophysiological and physiological sensing methods to assess human states such as stress, focused attention, and cognitive workload and to predict upcoming performance deficits to allow time to enact augmentation strategies to optimize that performance. Dr. Bracken has a B.S. in Psychology from Clarion University of Pennsylvania, and a Ph.D. in Neuroscience from Brandeis University. Before joining Charles River Analytics, Dr. Bracken completed a postdoctoral fellowship, quickly followed w ith a promotion to the faculty level, in the Department of Psychiatry at McLean Hospital and Harvard Medical School. ... More >>

Federico Cabitza Department of Informatics, Systemics and Communication, Università degli Studi di Milano-Bicocca, Milano, Italy / Center for Digital Health and Well-being (DHWB), Fondazione Bruno Kessler (FBK), Trento, Italy Italy http://federicocabitza.net

Short Bio
Federico Cabitza, MEng, PhD, is a Full Professor at the University of Milano-Bicocca (Milan, Italy) where he mainly teaches Human-Computer Interaction courses and where he is head of the research activities of the MUDI Lab (Modelling Uncertainty, Decisions and Interaction). Since 2026 he has also been director of the Center for Digital Health and Well-being (DHWB) at the Fondazione Bruno Kessler (FBK), Trento, Italy.
His current research interests regard the design and evaluation of interactive systems and AI-based decision support based on machine learning techniques in the Healthcare domain.

Silvana Quaglini Dept. of Electrical, Computer and Biomedical Engineering, University of Pavia Italy www.labmedinfo.org

Short Bio
Silvana Quaglini is Full Professor of Health Care Information Systems Università degli Studi di Pavia, Italy, where she teaches Medical Informatics and Decision Support in Medicine. Se is author of more than 200 articles in International Journals and Scientific Books. Her research interests regard decision support systems in medicine and more particularly basic areas such as decision theory, clinical process modeling, artificial intelligence, probabilistic systems, biomedical statistics, knowledge acquisition. Application areas include support systems for diagnosis, therapy and monitoring, such as computerized gu idelines, economic evaluation models based on decision analysis, telemedicine systems and workflow management within healthcare organizations. The main medical areas covered by such applications are stroke, chronic diseases, cardiovascular risk, motor and cognitive rehabilitation. The recent push toward personalized medicine has focused the latest applications on the "shared decision making" and "context-aware home-monitoring patients ... More >>