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VERSION:2.0
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X-WR-CALNAME:CIS Seminar Series-Saptarshi Debroy Hunter College\, City Univ
 ersity of New York 
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260809T111719Z
UID:tag:localist.com\,2008:EventInstance_45895792852366
DTSTART:20240319T134500Z
DTEND:20240319T144500Z
DESCRIPTION:Reliable and Secure Edge Computing for Data and Compute-intensi
 ve Applications: Challenges and directions\n\n \n\nABSTRACT\n\nModern edge
  computing paradigm finds itself to be increasingly driven by the need to 
 support data- and compute-intensive applications\, that are often ML/AI-ba
 sed and are generated by a variety of critical use-cases ranging from publ
 ic safety and emergency response to cross-campus bioinformatics and elder-
 care. Often\, such applications vary greatly in terms of their performance
 \, reliability\, security\, and privacy requirements\, nature of underlyin
 g algorithms\, data size and type\, and hardware heterogeneity. Simultaneo
 usly\, many of the underlying use-cases operate with systems and within en
 vironments that are constrained and dynamic in terms of resource availabil
 ity and system disruptions. These often-diverging factors create challengi
 ng inter-conflict problems among system design objectives that are simulta
 neously data-\, application-\, system-\, and environment-driven. Unfortuna
 tely\, the traditional distributed resource management strategies are unsu
 ited to address such inter-conflicts. This talk presents the unique challe
 nges of edge resource management for a few of such exemplary applications:
  i) rapid 3D reconstruction of dynamic scenes\, ii) energy-efficient DNN i
 nference\, iii) trustworthy volunteer edge-cloud management\, and iv) secu
 re and privacy-preserving ML for collaborative edge. The talk highlights o
 ur initial approaches to design novel and intelligent models and algorithm
 s to strike careful balance among such diverging design objectives. In par
 ticular\, the talk discusses algorithms\, architectures\, and early result
 s from three NSF and Google funded projects.\n\n \n\nBIOGRAPHY\n\nSaptarsh
 i Debroy is an Associate Professor of Computer Science at Hunter College a
 nd a member of the doctoral faculties at The Graduate Center of The City U
 niversity of New York (CUNY). He received his PhD degree from University o
 f Central Florida in 2014. Before joining academia\, he worked as research
  scientist for Motorola Inc. and Blue Coat Systems. His current research i
 nterest is reliable and secure Edge AI. He has published more than 50 pape
 rs in top-tier peer-reviewed journals and conference proceedings. He curre
 ntly manages and previously managed multiple research and education projec
 ts funded by federal agencies\, such as National Science Foundation (NSF)\
 , Department of Energy (DOE) and by corporations\, such as Google Inc. and
  Verizon Foundation. Some of his accomplishments include NSF Early career 
 award\, nomination for Presidential Early Career Awards for Scientists and
  Engineers (PECASE)\, best paper awards\, and university gold medal. He is
  a senior member of ACM and IEEE
GEO:39.680588;-75.754318
LOCATION:Smith Hall\, 201
SUMMARY:CIS Seminar Series-Saptarshi Debroy Hunter College\, City Universit
 y of New York 
URL;VALUE=URI:https://events.udel.edu/event/saptarshi-debroy-hunter-college
 -city-university-of-new-york
CATEGORIES:Academics
CATEGORIES:College of Engineering
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