CyLab Seminar: Vijayakumar Bhagavatula

Time: February 16, 2009 - 12:00 PM - 1:00 PM

Location: DEC@CIC


"Super-Resolution for Face Recognition" presented by Vijayakumar Bhagavatula, Faculty, CyLab.

Speaker: Vijayakumar Bhagavatula

Speaker Bio: Vijayakumar Bhagavatula is a Professor for the Department of Electrical and Computer Engineering.

Research interests include Pattern Recognition for Biometrics, one way of matching live biometric signatures (e.g., face images, iris images) with stored templates is to correlate the two. Professor Kumar and his students are developing several spatial frequency-domain methods to perform these correlations in the presence of significant appearance variability (e.g., due to illumination changes, expression differences, etc.) in the biometric signatures. These correlation filters have performed very well in the recent Face Recognition Grand Challenge (FRGC) and Iris Challenge Evaluation (ICE) conducted by US National Institute of Standards and Technology (NIST).

Coding & Signal Processing for Data Storage

As we attempt to increase the densities of data storage systems, bits and tracks come much closer, causing increased intersymbol interference and noise. Advanced coding and signal-processing methods are being developed to provide reliable (i.e., low bit error rate) detection of the digital data stored on various media. Professor Kumar's research considers timing recovery methods and the equalization and detection of data recorded on high-density magnetic tape recording systems, holographic data storage systems and optical storage systems. His group is also investigating the use of low density parity check (LDPC) codes for data storage systems.


PhD, 1980, Electrical Engineering, Carnegie Mellon University
MTech, 1977, Electrical Engineering, IITK
BTech, 1975, Electrical Engineering, IITK