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UID:www.tcs.tifr.res.in/event/981
DTSTAMP:20230914T125945Z
SUMMARY:New Analytical Tools to address Challenges in Data Science and Info
 rmation Theory
DESCRIPTION:Speaker: Arun Padakandla (University of Tennessee\nKnoxville\, 
 TN\, USA)\n\nAbstract: \nAbstract: In the first part of my talk\, I consid
 er the following problem arising in data privacy. How do we extract accura
 te statistical information from modern-day databases while preserving priv
 acy of individuals whose data is stored in the database? We propose an arc
 hitecture that permits unrestrained querying of databases while providing 
 provable guarantees on privacy. The performance of this architecture is go
 verned by a utility-privacy trade-off. Leveraging tools from discrete geom
 etry and analytic methods\, I present a precise characterization of this t
 rade-off in terms of the Ehrhart series of a suitably defined convex polyt
 ope. In the second part\, we consider classical problems in multi-terminal
  information theory. We present two approaches that have yielded new resul
 ts. The first approach is built on new ensembles of algebraic codes. The s
 econd approach is based on a connection between the findings of Shannon (1
 948) and Witsenhausen (1975\, SIAM Disc. Math.). We present new coding str
 ategies and characterize new inner bounds to the capacity region of fundam
 ental network scenarios. Both approaches have yielded new results for clas
 sical problems that had resisted progress for over three decades.\nBio: Ar
 un holds a Masters in Electrical Commn Engg from the Indian Institute of S
 cience\, a Masters in Mathematics from the Univ. of Michigan (UMICH) and a
  PhD in EECS from UMICH. Following his PhD\, Arun worked for a year as a R
 esearch Scientist at Ericsson Research in San Jose\, USA. In 2015\, Arun j
 oined the NSF Center for Science of Information as a Center-wide postdocto
 ral research fellow and worked under the advise of Prof. P R Kumar and Pro
 f. Wojciech Szpankowski. Since 2018\, he has been an Assistant Professor a
 t the University of Tennessee at Knoxville. Arun's research interests are 
 in Data Science\, Information theory and Quantum Information Science.\n
URL:https://www.tcs.tifr.res.in/web/events/981
DTSTART;TZID=Asia/Kolkata:20190806T101500
DTEND;TZID=Asia/Kolkata:20190806T111500
LOCATION:A-201 (STCS Seminar Room)
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