SARGUR N. SRIHARI
Srihari is a SUNY Distinguished Professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York. He held the Rukmini Govindachar chair in the School of Automation, Indian Institute of Science during 2018.
Srihari founded CEDAR labs at Buffalo wherein the world’s first automated system for reading handwritten postal addresses was developed and deployed for the United States Postal Service, This not only saved hundreds of millions of dollars in labor costs for USPS, but also led to the recognition of handwritten digits, considered the fruit-fly of AI methods.
Srihari also spent a decade developing AI and machine learning methods for forensics—focusing on pattern evidence such as latent prints, handwriting and footwear impressions. In particular, quantifying the value of handwriting evidence– to allow presenting such testimony in US courts. Srihari has served on the National Academy of Sciences Committee on Identifying the Needs of the Forensic Science Community which led to an influential report. He has also served on NIJ-NIST committees on Human Factors in Fingerprint Analysis and Handwriting Comparison. At present he is a member of the Houston Forensics Technical Advisory Board.
Srihari teaches a trilogy of three courses: (i) introduction to machine learning, (ii) deep learning and (iii) probabilistic artificial intelligence. His publicly available course slides are widely used around the world.
Srihari’s honors include: Fellow of the Institute of Electronics and Telecommunications Engineers (IETE, India) , Fellow of the IEEE, Fellow of the International Association for Pattern Recognition and distinguished alumnus of the Ohio State University College of Engineering. He received an Excellence in Graduate mentorship award from the University at Buffalo in 2018.
Srihari received a B.Sc. in Physics and Mathematics from the Bangalore University, a B.E. in Electrical Communication Engineering from the Indian Institute of Science and a Ph.D. in Computer and Information Science from the Ohio State University.