Dr Julien Le Kernec is currently a Senior Lecturer with the School of Engineering in the Autonomous Systems & Connectivity Group, University of Glasgow. He is also an adjunct Associate Professor at the University of Cergy-Pontoise, France, in the ETIS (Information and Signal Processing group). Previous to this, he held a post-doctoral position with the Kuang-Chi Institute of Advanced Technology, Shenzhen, China, from 2011 to 2012 and he was a Lecturer at the Department of Electrical and Electronic Engineering at the University of Nottingham Ningbo China, from 2012 to 2016. Dr Le Kernec received his B.Eng. and M.Eng. degrees in Electronic Engineering from the Cork Institute of Technology, Ireland, in 2004 and 2006, respectively, and his Ph.D. degree in Electronic Engineering from the University Pierre and Marie Curie, France, in 2011.
His research interests include radar system design, software-defined radio/radar, signal processing, and health applications. Dr Le Kernec has over 130 publications in journals, Conferences, book chapters, patents, and databases.
He will discuss the place of radar for assisted living. First, the context of assisted living and the urgency to address the problem will be described. The second part will give an overview of existing sensing modalities for assisted living and explain why radar is an upcoming preferred modality to address this issue. The third section presents developments in machine learning that help improve performance in classification, especially with deep learning, with a reflection on lessons learned from it. Finally, he will conclude with open challenges and future developments.
Agenda:
6 PM – Introductions
6:15 PM – Lecture
7:30 PM – Q&A
7:45 PM – Dinner and Social
Room: 2460, Bldg: A.V. Williams building, 8223 Paint Branch Dr, University of Maryland, college park, College Park, Maryland, United States, 20742, Virtual: https://events.vtools.ieee.org/m/569030
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