Keynote Speakers

Steffen Leonhardt, RWTH Aachen University
Biography
Steffen Leonhardt (SM’06) received the M.S. degree from SUNY at Buffalo, NY, USA, the Dipl.-Ing. and the Ph.D. degree in control engineering from TU Darmstadt, Germany, and the M.D. degree from Goethe University Frankfurt, Germany. After almost 5 years of duty as a Research and Development Manager for Dräger Medical AG&Co KGaA, Lübeck, Germany, he was recruited as a Full Professor in Biomedical Engineering at RWTH Aachen University in 2003, where he has been the Philips Endowed Chair of Medical Information Technology til 2017. His research interests include closed-loop control and automation in medicine, bioimpedance, unobtrusive sensing, biomedical signal processing and machine learning.
Steffen Leonhardt is a Fellow (2014) of the North Rhine-Westphalian Academy of Sciences, Humanities and the Arts, Düsseldorf, Germany and a Fellow (2023) of the German “National Academy of Science and Engineering” (acatech), Berlin/Munich. From 2015 to 2018, he served as the President for the International Society for Bioelectromagnetism, from 2015 to 2016 he was appointed an IEEE EMBS Distinguished Lecturer. In 2018, he received the Doctor Honoris Causa from the Czech Technical University in Prague, Czech Republic. Furthermore, in that year he has been appointed Distinguished Professor at IIT Madras, Chennai, India. His publication record can be found at https://scholar.google.de/citations?hl=de&user=GZo4IYgAAAAJ. Among other duties, he serves as an associate editor for the IEEE Journal of Biomedical and Health Informatics and the journal Biomedical Engineering / Biomedizinische Technik. He is on the editorial board of the Journal of Clinical Monitoring and Computing and has been an associate editor for the IEEE Transactions on Biomedical Circuits and Systems from 2011 to 2020. Since 2024, he serves on the review board 4.41 “Systems Engineering” of the German Research Foundation (DFG).
“Unobtrusive Sensing of Vital Signs“

Flavia Ravelli, University of Trento
Biography
Flavia Ravelli is an Associate Professor of Physiology at the University of Trento, where she is affiliated with the Department of Cellular, Computational and Integrative Biology (CIBIO). She currently heads the Laboratory of Biophysics and Translational Cardiology. Her research efforts are primarily focused on cardiac electrophysiology, with a specific emphasis on investigating the underlying mechanisms of cardiac arrhythmias. Her expertise covers a broad spectrum of translational cardiology, including biomarker identification, cardiac electrophysiology modeling, signal and image processing tailored for arrhythmia analysis, and innovations in cardiac ablation methodologies. She has made significant contributions to the field, evidenced by over 100 international scientific publications in peer-reviewed journals. She actively coordinates numerous international research projects dedicated to the mechanisms and treatment of cardiac arrhythmias.
“Bridging the Gaps: Connecting Tissue Structure, Integrated Imaging, and Computer Simulation for Arrhythmia Insight“

Georgios D.Mitsis, McGill University
Biography
Georgios D.Mitsis is currently an Associate Professor and William Dawson Scholar in the Department of Bioengineering at McGill University, where he also serves as Associate Member of the Department of Biomedical Engineering and Director of the Biological and Biomedical Engineering Graduate Program. he received his Diploma in Electrical and Computer Engineering from the National Technical University of Athens and his M.S. and Ph.D. degrees in Biomedical Engineering from the University of Southern California. His research focuses on the development and application of advanced mathematical and computational models to characterize complex physiological and neuroimaging systems, with particular emphasis on cerebral hemodynamics, physiological noise correction in fMRI, and dynamic brain connectivity. His work integrates systems engineering approaches with neuroimaging and physiological data to better understand brain function in health and disease.
He has served as Editor-in-Chief of the IEEE Engineering in Medicine and Biology Conference (EMBC 2024-2025), and as Associate Editor and Theme Editor for EMBC and IEEE ISBI in the area of Biomedical Signal Processing. He has also guest-edited special issues in Medical Engineering & Physics and Biomedical Signal Processing and Control, and serves as reviewer for leading IEEE and biomedical engineering journals

Fernando E. Rosas, University of Sussex
Biography
Fernando Rosas received the B.A. degree in music composition and philosophy (Minor), the B.Sc. degree in mathematics, and the M.S. and Ph.D. degree in engineering sciences from the Pontificia Universidad Católica de Chile. After that, he worked as postdoctoral researcher at KU Leuven, National Taiwan University, and Imperial College London. He currently works as Assistant Professor at the University of Sussex and Research Fellow at Imperial College London and the University of Oxford. His work focuses on collective behaviour and emergent phenomena in biological and artificial systems using methods spaning computational neuroscience, physics, computer science, and cognitive science.
“High-order interdependencies in physiological systems: what are they and why they matter“
Young Invited Speakers

Whabi El-Bouri, University of Liverpool
Biography
Dr Wahbi El-Bouri works at the cutting-edge of Digital Twin development as a Senior Lecturer (Associate Professor) at University of Liverpool. He heads up his research team, the Virtual Vascular Human research group, where he develops Digital Twin technology of cerebrovascular and retinal vascular systems.
An engineer by training, he received both his MEng and DPhil in biomedical engineering from University of Oxford before transitioning to Department of Cardiovascular Medicine in Liverpool to begin the process of translating these Digital Twins to clinical environments. Digital Twins that have been developed include simulations of cerebrovascular ageing, stroke and its treatment, simulations of ageing retinas, and the dynamics of the heart.
Combining our understanding of the physics and mathematics that describe the human body with patient data, Wahbi seeks to develop advanced Digital Twins that can be used for risk prediction as well as product testing to speed-up and de-risk drug and medical device development. Furthermore, he is expanding his work to understand how digital twins can be used for preventative health. As engineers working in a medical environment, his team work within a fast-paced environment with end-users at the forefront.
He has been funded by the European Union, the Royal Society, and UK research councils to continue to develop these healthcare Digital Twins. He also works as an advisor to two med-tech startups.
