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UID:171@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20260107T160000
DTEND;TZID=Asia/Kolkata:20260107T170000
DTSTAMP:20260105T082201Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-january-07th-0400-mathem
 atics-of-bigdata-analysis/
SUMMARY:{Seminar} @ CDS: #102\, January 07th: 04:00: "Mathematics of Bigdat
 a Analysis."
DESCRIPTION:Department of Computational and Data Sciences\nDepartment Semin
 ar\n\n\n\nSpeaker : Prof. S. Lakshmivarahan\, School of Computer Science\,
  University of Oklahoma and International Visiting Faculty\, EE Department
 \, IISc.\nTitle : Mathematics of Bigdata Analysis\nDate &amp\; Time: Janua
 ry 07th\, 2026 (Wednesday)\, 04:00 PM\nVenue : # 102\, CDS Seminar Hall\n\
 n\n\nABSTRACT\nAdvances in sensor\, wireless communication\, large scale s
 torage devices\, and access to super computers has ushed in the Bigdata re
 gime. There are four ways to organize this data – time series\, spatial 
 data\, spatio-temporal data\, and data in the matrix form. In this talk we
  will consider a data set where n points are distributed in an m- dimensio
 nal space represented by a m by n matrix where m &gt\; n. Classical statis
 tics deal with the asymptotic analysis when m if fixed and n grows such th
 at the ratio m/n goes to zero. In the bigdata regime\, we are often called
  to consider the case when m and n are large\, but the ration m/n is posit
 ive where the classical results only lead to suboptimal results. This talk
  will provide an overview of the behavior of volume\, distance and probabi
 lity measures and provide an example of the estimation of covariance matri
 ces of large dimensions.\n\nBIO: After completing his PhD from the Indian 
 Institute of Science in 1973\, S. Lakshmivarahan held faculty and post-doc
 toral positions at the IIT-Madras\, Brown and Yale Universities through 19
 78. In the Fall of 1978\, he joined the School of Computer Science\, Unive
 rsity of Oklahoma (OU) where he held the position of George Lynn Cross Res
 earch Professor since 1995. His research interests are in Applied Mathemat
 ics and Computation and includes Data Mining and Analytics\, Data Assimila
 tion\, Computational Finance\, Parallel Computation and Learning Algorithm
 s. He is an author/coauthor of six books in these areas. He was elected as
  a Fellow of the IEEE in 1993 and a Fellow of ACM in 1995. He has held sho
 rt-term visiting positions in Japan\, China\, Taiwan\, Thailand\, India\, 
 Germany\, England\, Mexico\, Brazil\, Canada\, and USA. Since July 2019\, 
 he has held the position of George Lynn Cross Research Professor Emeritus 
 at the School of Computer Science\, OU.\n\nHost Faculty: Prof. Murugesan V
 enkatapathi\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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