Venkata S.S. Gandikota

Assistant Professor

Electrical Engineering & Computer Science

Degrees:

  • Ph.D. Computer Science – Purdue University
  • MS Computer Science – Purdue University
  • MSc Mathematics – Birla Institute of Technology and Science, Goa, India
  • B.E. Computer Science – Birla Institute of Technology and Science, Goa, India

Research interests:

  • Coding Theory
  • Information Theory
  • Foundations of Machine Learning

Current Research:

My current research focuses the algorithmic aspects of computing on structured data with applications to coding theory and foundational problems in machine learning.

Teaching Interests:

  • Foundations of Big Data Algorithms
  • Theory of Computation
  • Algorithms
  • Coding Theory

Selected Publications:

Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal. “Recovery of sparse linear classifiers from mixture of responses”. Thirty-fouth Conference on Neural Information Processing Systems (NeurIPS), 2020.

Venkata Gandikota, Arya Mazumdar, Ankit Rawat . “Reliable Distributed Clustering with Redundant Data Assignment”. IEEE Symposium on Information Theory (ISIT), 2020.

Larkin Flodin, Venkata Gandikota, Arya Mazumdar. “Superset Technique for Approximate Recovery in One-Bit Compressed Sensing”. Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019.