Constantinos S. PATTICHIS, University of Cyprus, CYPRUS

Cardiovascular Informatics: Explainable Models for Personalised Integrated Stroke Ultrasound Video Analysis

Constantinos S. Pattichis is Professor with the Dep. of Computer Science and Director of the Biomedical Engineering Research Centre at the University of Cyprus and Leader of HealthXR Smart, Ubiquitous, and Participatory Technologies for Healthcare Innovation in the CYENS Centre of Excellence. He has 30 years of experience in eHealth and connected health, medical imaging, biosignal analysis, intelligent systems and explainable AI, and more recently in mHealth interventions based on XReality applications. He has been involved in numerous projects in these areas funded by EU and other bodies, with a total funding managed in excess of 20 million Euro. He has published 150 journal publications, 260 conference papers, 30 chapters in books and editor of 3 books, 22 journal special issues and 20 conference proceedings in these areas. He is a Member of the European Academy of Sciences and Arts, Fellow of IEEE, IET, International Academy of Medical and Biomedical Engineering (IAMBE) and the European Alliance for Medical & Biological Engineering & Science (EAMBES).



Reza BOOSTANI, Shiraz University, IRAN

Applications of Deep Learning and Signal Processing Methods to EEG Signals

Reza Boostani is a professor at the faculty of Electrical and Computer Engineering, Shiraz University, Iran. He has been selected as the distinguished professor of Shiraz University in 2010, 2017 and 2022. He has been selected as top 2% researchers in the world in 2022 and 2023. His interests are in statistical machine learning, biomedical signal processing, computer-aided diagnosis (CAD) especially for distinguishing a vast variety of neurological and psychotic disorders.