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.