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

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. ... More >>

Hugo Gamboa LIBPhys, Physics Department, Nova School of Science and Technology, Nova University of Lisbon Portugal

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.

 

Ana Moita Mechanical Engineering, IN+ - Instituto Superior Tecnico and Academia Militar Portugal

Brief Bio
Ana S. Moita holds a PhD and a MSc in Mechanical Engineering is a Post-Doc researcher at the Multiphase Transport Phenomena Laboratory in the Center for Innovation, Technology & Policy Research, IN+, at Instituto Superior Técnico, Universidade de Lisboa. Her research addresses the experimental and theoretical descritpion of liquid-solid interfacial phenomena on complex surfaces, with application to cooling systems, energy conversion and biomedical devices.

 

Katja Bühler VRVis Austria www.vrvis.at

Brief Bio
Katja Bühler is Scientific Director of the VRVis Research Center in Vienna, Austria. She completed her studies in Mathematics at KIT, Karlsruhe, Germany and holds a PhD in Computer Science from TU Wien, Austria. In 2003 she became head of the Biomedical Image Informatics Group at VRVis. She is member of the management board of Austrian Bioimaging and associate editor of Computers and Graphics, the Visual Computer and Frontiers in Bioinformatics. Katja’s scientific roots are in reliable computing, numerics and geometry processing. Today's focus of her research is on the development of highly efficient methods to p rovide access to information encoded in biomedical images with the aim to accelerate image-based decision making. For this purpose, she is fusing expertise in image processing, machine and deep learning, high performance computing, data mining, visualization and human computer interaction to novel visual computing solutions for medicine and life science. Research results of her group received numerous scientific awards and resulted in several patents. The software emerged from the groups research is helping radiologists, radiotherapists and surgeons to cope with multi-modal images and diagnostic tasks in their daily clinical routine. The e-science platform Brain* addresses the urgent need to manage and exploit image intense data collections and accelerates multi-omics and image-based research of neuroscientists. ... More >>

 

Hesham Ali College of Information Science and Technology, University of Nebraska at Omaha United States

Brief Bio
Hesham H. Ali is a Professor of Computer Science and the director of the University of Nebraska Omaha (UNO) Bioinformatics Core Facility. He served as the Lee and Wilma Seemann Distinguished Dean of the College of Information Science and Technology at UNO between 2006 and 2021. He has published numerous articles in various IT areas, including scheduling, distributed systems, data analytics, wireless networks, and Bioinformatics. He has been serving as the PI or Co-PI of several projects funded by NSF, NIH and Nebraska Research Initiative in the areas of data analytics, wireless networks and Bioinformatics. He has also been leading a Research Group that focuses on developing innovative computational approaches to model complex biomedical systems and analyze big bioinformatics data. ... More >>

Ning Deng Biomedical Engineering, Zhejiang University China https://person.zju.edu.cn/en/0010092

Brief Bio
Dr. Ning Deng is an associate professor and doctoral supervisor of School of Biomedical Engineering and Instrument Science, Zhejiang University, and an assistant researcher of UCLA-BD2K National Bigdata Research Center of USA, mainly engaged in the research of intelligent intervention technology for chronic diseases and health management.
From 2007 to 2010, he engaged in research work in the BD2K National Bigdata Research Center of the University of California, Los Angeles (UCLA). As the main designer of the NIH key research program project "Knowledgebase of Cardiac Proteome Atlas (CopaKB)", he built the lar gest knowledge base of cardiac proteome profiling and network information analysis platform in the world, and won the "Young Scholar Academic Award of International Human Proteome Organization (HUPO)".
Since 2012, Dr. Deng has presided over and participated in a number of National Key R&D Program Projects and National Natural Science Foundation projects of China. A home-based rehabilitation method for COPD patients using portable equipment has been authorized as patent to Dr. Deng. The closed-loop management information system for COPD and the eHealth intervention path technology of chronic disease have been applied in the large-scale application demonstration project of chronic disease sustainable management in Ningxia Province and the regional chronic disease management cooperation network in Zhejiang Province. Dr. Deng has published over 30 papers. A total of 5 patents have been declared (including 2 authorized and 3 open for review), and 12 software copyrights have been obtained. ... More >>

 

Ioanna Chouvarda School of Medicine, Lab of Computing, Medical Informatics & Biomed Imaging Technologies, Aristotle University of Thessaloniki Greece

Brief Bio
Ioanna Chouvarda studied Electrical and Computer engineering, and completed her PhD on cardiac system complexity in the School of Medicine (2001), at the Aristotle University of Thessaloniki, Greece. She is Associate Professor in Medical Informatics and Biomedical Data Analysis, Lab of Computing, Medical Informatics and Biomedical Imaging
technologies in the School of Medicine, Faculty of Health Sciences AUTH. She has been a collaborating researcher with CERTH, visiting researcher at VTT Finland and Polytechnic School of Milan. She teaches undergraduate and graduate level courses around biomedical data manage ment and analysis, also oriented to interdisciplinary groups, and has supervised numerous Msc and PhD students. She has been actively involved in biomedical research for more than 25 years. Within the Lab, she leads the BiOasys team with key objectives the development of data analysis & data-driven methods, and their application in connected health technologies and systems medicine. She has been involved in the R&D project / technical management of numerous research projects (EU/national funding), as well as EU cost actions for scientific networking. ... More >>

 

Federico Cabitza Department of Informatics, Systemics and Communication, Università degli Studi di Milano-Bicocca and IRCCS Ospedale Galeazzi Italy http://federicocabitza.net

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.