Dimitrios I. Fotiadis

University of Ioannina Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering, and FORTH-IMBB,Ioannina,Greece 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.(Based on document published on 15 June 2020).

Associated articles

JTEHM, Articles, Published Articles
OB CITY – Definition of a Family-Based Intervention for Childhood Obesity Supported by Information and Communication Technologies
Childhood obesity is becoming one of the 21st century’s most important public health problems. Nowadays, the main treatment of childhood obesity is behavior intervention that aims at improve children’s lifestyle to arrest the disease. Information and communication technologies (ICTs) have... Read more
OJEMB, Articles
A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design
Goal: To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. Methods: A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical dataset. An atherosclerotic plaque growth model is employed to... Read more