Venkata Gandikota (GV)

Address: CST 4-206B,  Syracuse University, Syracuse, NY 13210
E-mail:  <lastname>[dot]<firstname>[at]gmail[dot]com
Assistant ProfessorElectrical Engineering  and Computer Science DepartmentSyracuse University
Research overview: My research aims to identify the algorithmic limits for achieving robust, lossless communication and reliable storage in noisy media. Furthermore, I leverage the combinatorial properties of error-correcting codes for designing efficient and robust algorithms for various machine learning tasks such as distributed learning and sparse recovery. At a high level, we exploit the key idea of introducing "structured redundancy" that facilitates the design of computationally efficient noise-resilient algorithms for many computational tasks. 

Research Interests: 

Biography: 

I am an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University.  I am also an affiliate faculty at EnCore: Institute for Emerging CORE Methods in Data Science, and an IEEE senior member.  My research interests include coding theory, lattices, and their applications to foundational machine learning tasks. A part of my research is supported by the CUSE and SOURCE RA grants. Before joining SU, I was a postdoctoral researcher at the University of Massachusetts at Amherst, where I worked with Prof. Arya Mazumdar, and a postdoctoral fellow at Johns Hopkins University with Prof. Xin Li. I received my Ph.D. in Computer Science from Purdue University under the guidance of Prof. Elena Grigorescu.  I completed my undergraduate Mathematics (MSc) & Computer Science (BE) from Birla Institute of Technology & Science, Goa, India.