BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20261101T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260808T035024Z
UID:D3111B46-7D1D-4E42-9D50-C54B58903A21
DTSTART;TZID=America/New_York:20260806T180000
DTEND;TZID=America/New_York:20260806T203000
DESCRIPTION:Dr Julien Le Kernec is currently a Senior Lecturer with the Sch
 ool of Engineering in the Autonomous Systems & Connectivity Group\, Univer
 sity of Glasgow. He is also an adjunct Associate Professor at the Universi
 ty of Cergy-Pontoise\, France\, in the ETIS (Information and Signal Proces
 sing 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 Electron
 ic 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 E
 ngineering from the Cork Institute of Technology\, Ireland\, in 2004 and 2
 006\, respectively\, and his Ph.D. degree in Electronic Engineering from t
 he University Pierre and Marie Curie\, France\, in 2011.\n\nHis research i
 nterests include radar system design\, software-defined radio/radar\, sign
 al processing\, and health applications. Dr Le Kernec has over 130 publica
 tions in journals\, Conferences\, book chapters\, patents\, and databases.
 \n\nHe will discuss the place of radar for assisted living. First\, the co
 ntext of assisted living and the urgency to address the problem will be de
 scribed. The second part will give an overview of existing sensing modalit
 ies for assisted living and explain why radar is an upcoming preferred mod
 ality to address this issue. The third section presents developments in ma
 chine learning that help improve performance in classification\, especiall
 y with deep learning\, with a reflection on lessons learned from it. Final
 ly\, he will conclude with open challenges and future developments.\n\nAge
 nda: \n6 PM - Introductions\n\n6:15 PM - Lecture\n\n7:30 PM - Q&A\n\n7:45 
 PM - Dinner and Social\n\nRoom: 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
LOCATION: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
ORGANIZER:arcjai7@gmail.com
SEQUENCE:9
SUMMARY:AESS Distinguished Lecture: Radar in Assisted Living: An Overview
URL;VALUE=URI:https://events.vtools.ieee.org/m/569030
X-ALT-DESC:Description: <br /><p>Dr Julien Le Kernec is currently a Senior 
 Lecturer with the School of Engineering in the Autonomous Systems &amp\; C
 onnectivity Group\, University of Glasgow. He is also an adjunct Associate
  Professor at the University of Cergy-Pontoise\, France\, in the ETIS (Inf
 ormation and Signal Processing group). Previous to this\, he held a post-d
 octoral position with the Kuang-Chi Institute of Advanced Technology\, She
 nzhen\, China\, from 2011 to 2012 and he was a Lecturer at the Department 
 of Electrical and Electronic Engineering at the University of Nottingham N
 ingbo China\, from 2012 to 2016. Dr Le Kernec received his B.Eng. and M.En
 g. degrees in Electronic Engineering from the Cork Institute of Technology
 \, Ireland\, in 2004 and 2006\, respectively\, and his Ph.D. degree in Ele
 ctronic Engineering from the University Pierre and Marie Curie\, France\, 
 in 2011.</p>\n<p>His research interests include radar system design\, soft
 ware-defined radio/radar\, signal processing\, and health applications. Dr
  Le Kernec has over 130 publications in journals\, Conferences\, book chap
 ters\, patents\, and databases.</p>\n<p>He will discuss the place of radar
  for assisted living. First\, the context of assisted living and the urgen
 cy to address the problem will be described. The second part will give an 
 overview of existing sensing modalities for assisted living and explain wh
 y radar is an upcoming preferred modality to address this issue. The third
  section presents developments in machine learning that help improve perfo
 rmance in classification\, especially with deep learning\, with a reflecti
 on on lessons learned from it. Finally\, he will conclude with open challe
 nges and future developments.</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p><br /><br
  />Agenda: <br /><p>6 PM - Introductions</p>\n<p>6:15 PM - Lecture</p>\n<p
 >7:30 PM - Q&amp\;A</p>\n<p>7:45 PM - Dinner and Social</p>
END:VEVENT
END:VCALENDAR