BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:ISE Spencer C. Schantz Technical Talk with Professor Alejandro
  Ribeiro\, University of Pennsylvania
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260514T004459Z
UID:tag:localist.com\,2008:EventInstance_52143548294276
DTSTART:20260409T150000Z
DTEND:20260409T160000Z
DESCRIPTION:ISE Spencer C. Schantz Technical Talk\n\nSpeaker: Alejandro Rib
 eiro\, University of Pennsylvania\n\nLecture Title: Learning with Contrain
 ts\n\nDate: Thursday\, April 9\, 2026\n\nTime: 11:00 am - 12:00pm\n\nLocat
 ion: Mohler Laboratory Room 453\n\nAbstract:\n\nAlthough most artificial i
 ntelligence (AI) systems are designed to minimize losses or maximize rewar
 ds\, the standard practice of systems design is centered on the specificat
 ion and satisfaction of requirements. Ignoring requirements results in AI 
 systems that can be brittle\, biased\, unsafe\, or deceptive. The evident 
 solution is to make constraints an integral part of AI systems. In this ta
 lk we discuss the incorporation of constraints in supervised\, unsupervise
 d\, and generative AI systems. Central to our discussion is the investigat
 ion of duality properties in these various domains.  Duality is the key to
  unlock statistical generalization results and to develop constrained lear
 ning algorithms. We will also introduce innovative uses of constraints in 
 AI systems including everywhere learning — the imposition of constraints
  on individual samples — and resilient learning — a mechanism for auto
 mating constraint specification.\n\nBio:\n\nAlejandro Ribeiro received the
  B.Sc. degree in electrical engineering from the Universidad de la Repúbl
 ica Oriental del Uruguay in 1998 and the M.Sc. and Ph.D. degrees in electr
 ical engineering from the Department of Electrical and Computer Engineerin
 g at the University of Minnesota in 2005 and 2007. He joined the Universit
 y of Pennsylvania (Penn) in 2008 where he is currently the Solomon & Sylvi
 a G. Charp Professor of Electrical Engineering. His research is on the fou
 ndations of artificial intelligence (AI) and on the use of AI in network s
 ystems. His group has made seminal contributions to constrained learning\,
  graph signal processing\, and graph neural networks (GNNs). They have pio
 neered the use of GNNs in wireless communications\, distributed collaborat
 ive robotic systems\, and power distribution grids. Papers coauthored by D
 r. Ribeiro received the 2024 and 2022 IEEE Signal Processing Society Best 
 Paper Awards\, the 2022 IEEE Brain Initiative Student Paper Award\, the 20
 21 Cambridge Ring Publication of the Year Award\, the 2020 IEEE Signal Pro
 cessing Society Young Author Best Paper Award\, the 2014 O. Hugo Schuck be
 st paper award\, and paper awards at CAMSAP 2023\, EUSIPCO 2021\, ICASSP 2
 020\, EUSIPCO 2019\, CDC 2017\, SSP 2016\, SAM 2016\, Asilomar SSC 2015\, 
 ACC 2013\, ICASSP 2006\, and ICASSP 2005. His teaching has been recognized
  with the 2017 Lindback award for distinguished teaching and the 2012 S. R
 eid Warren\, Jr. Award presented by Penn’s undergraduate student body fo
 r outstanding teaching. Dr. Ribeiro received an Outstanding Researcher Awa
 rd from Intel University Research Programs in 2019.  He is an IEEE Fellow 
 class of 2026\, Penn Fellow class of 2015 and a Fulbright scholar class of
  2003. He is husband to Gabriela and father to Miranda\, Guillermo\, and A
 riel.
GEO:40.607787;-75.381521
LOCATION:Mohler Laboratory\, 453
SUMMARY:ISE Spencer C. Schantz Technical Talk with Professor Alejandro Ribe
 iro\, University of Pennsylvania
URL;VALUE=URI:https://eventscalendar.lehigh.edu/event/ise-spencer-c-schantz
 -technical-talk
CATEGORIES:Talks & Lectures
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