BIOSTEC Conference Co-Chairs
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Ana Fred
Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon)
Portugal
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Brief 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.
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Hugo Gamboa
Nova University of Lisbon
Portugal
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Brief Bio
Hugo Gamboa is an Assistant Professor at the Physics Department of the Sciences and Technology Faculty of the Universidade Nova de Lisboa and member 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.
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Cátia Pesquita
LASIGE, Faculdade de Ciências, Universidade de Lisboa
Portugal
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Brief Bio
Catia Pesquita is an Assistant Professor at Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa. She is an integrated member of the LASIGE research unit where she leads the Research Line of Excellence in Health and Biomedical Informatics. Her research work is dedicated to knowledge engineering and data mining, particularly in the biomedical and clinical domains.
She has made significant contributions to the area of knowledge graphs and ontology-based semantic similarity, producing highly cited publications in PLoS Computational Biology, BMC Bioinformatics and the International Semantic
Web Conference, with successful application in clinical prognosis, epidemiological surveillance and clinical data integration. She is the Program Chair of HEALTHINF 2021.
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Doctoral Consortium Co-Chairs
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Federico Cabitza
Università degli Studi di Milano-Bicocca and IRCCS Ospedale Galeazzi
Italy
http://federicocabitza.net
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Brief Bio
Federico Cabitza, MEng, PhD, is an Associate Professor at the University of Milano-Bicocca (Milan, Italy) where he teaches Human-Computer Interaction and where he coordinates the research activities of the MUDI Lab (Modelling Uncertainty, Decisions and Interaction). Since 2016 he has also had a research appointment with the IRCCS Orthopaedics Institute Galeazzi in Milano (Italy) and more recently with San Raffaele Hospital. His current research interests regard the design and evaluation of interactive systems and decision support based on machine learning techniques in the Healthcare domain.
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Silvana Quaglini
Dept. of Electrical, Computer and Biomedical Engineering, University of Pavia
Italy
www.labmedinfo.org
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Brief 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
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