Institute Lecture by Prof. Sargur N. Srihari in Faculty Hall @ 4 pm

Location: Faculty Hall

Indian Institute of Science
Institute Lecture

Speaker : Professor Sargur N. Srihari
Smt Rukmini – Shri Gopalakrishnachar Visiting Chair Professor, IISc
SUNY Distinguished Professor
Department of Computer Science and Engineering
University at Buffalo
The State University of New York

Title : Artificial Intelligence and Deep learning
Date : Tuesday, July 17, 2018
Time : 4:00 PM
Venue : Faculty Hall, Indian Institute of Science
Organised by: Department of Computer Science and Automation


After decades of steady advancement, Artificial Intelligence (AI) methods are poised to demonstrate human-level performance in a variety of tasks including translating languages, driving trucks, designing building architectures, creating art, evaluating forensic evidence, making investment decisions, write best-sellers, etc. The talk will describe principles of current generation of AI methods—which are based on a methodology known as deep learning—and how they differ from previous AI methods, which focused on modeling human expertise. We will provide a glimpse of a current deep learning research endeavor—that of
learning representations of complex data where variables are disentangled and decision making is simplified.

Biography of the speaker:

Sargur Srihari is a computer scientist whose work is on automated systems for pattern recognition and machine learning. The principal impact of his work has been on statistical methods, on the analysis and recognition of handwriting and in computational methods for forensic impression evidence.

Sargur Srihari is currently a SUNY Distinguished Professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York where he also holds adjunct professorships in the Department of Biostatistics and in the Department of Electrical Engineering. He teaches courses in machine learning and probabilistic graphical models.

With support from the United States Postal Service for over 20 years, he founded CEDAR, the Center of Excellence for Document Analysis and Recognition, in 1991, which had a major impact. His research led to: (i) the first large-scale handwritten address interpretation systems in the world (deployed by the IRS and USPS),
(ii) post-Daubert court acceptance of handwriting testimony based on handwriting individuality assessment,
(iii) a software system in use by forensic document examiners worldwide
(iv) statistical characterization of uncertainty in impression evidence, and
(v) first characterization of document image analysis as a sub-field of pattern recognition.

Srihari’s honors include: Outstanding Achievements Award of IAPR/ICDAR in Beijing China in 2011, Distinguished alumnus of the Ohio State University College of Engineering in 1999. Fellow of the International Association for Pattern Recognition in 1996, Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 1995, and Fellow of the Institute of Electronics and Telecommunications Engineers (IETE, India) in 1992.

Srihari is currently visiting the Institute as Smt Rukmini – Shri Gopalakrishnachar Visiting Chair Professor.

High tea: 5.00 pm