Invited Speakers

Dr Blesson Varghese is currently a Reader in the School of Computer Science at the University of St Andrews. He directs the Edge Computing Hub funded by Rakuten, Japan. 

He was the recipient of the 2021 IEEE Rising Star Award and a Royal Society industry fellowship to British Telecoms plc, UK. His research interests are in developing large-scale distributed systems spanning the cloud and the edge of the network and has academic, industry and consulting experience in multiple continents.

Fahim Kawsar is a Bell Labs Fellow and Director of Device Research at Nokia Bell Labs, Cambridge, where he leads transformative research in Mobile Systems, Edge AI, and Human-Centered Computing. He also holds a Professorship in Mobile Systems at the University of Glasgow, advancing research on the forms and intelligence of multi-sensory devices that learn, infer, and augment human behavior. With over 20 years of research experience, he has been a driving force in the UK’s research ecosystem, leading major collaborations, including the establishment of a joint research center with the University of Cambridge, and pioneering the field of Earable Computing, which led to a successful Bell Labs spin-off.

Prof. Kawsar has authored over 200 publications, holds 50+ patents, and has secured over €6 million in research funding, leading multiple large-scale, multi-million euro projects. He frequently delivers keynote speeches at top academic and industry conferences and has served on organizing and program committees for leading events in mobile, wearable, and pervasive systems. As Editor-in-Chief of IEEE Pervasive Computing, he continues to shape the future of pervasive systems and AI-driven platforms, driving thought leadership and innovation on a global scale.

Fani Deligianni holds a PhD in Medical Image Computing (Imperial College London), an MSc in Advanced Computing (Imperial College London), an MSc in Neuroscience (University College London) and a MEng (equivalent) in Electrical and Computer Engineering (Aristotle University, Greece).

Her main focus is to develop novel, state-of-the-art computational methods to solve challenging problems in biomedical domain. The core expertise of her group is the development of machine learning approaches to analyse medical images, neuro-physiological signals and human motion. She develops cutting-edge technologies that safeguard users privacy and promote public trust towards artificial intelligence.