Scholar
Venkata Gandikota
Google Scholar ID: 4u-2hcwAAAAJ
Syracuse University
Citations & Impact
Citations
310
H-index
8
i10-index
7
Publications
20
Co-authors
21
list available
Contact
No contact links provided.
Publications
Resume (English only)
Background
- Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University
- Affiliate Faculty at EnCORE: Institute for Emerging CORE Methods in Data Science
- Senior Member of IEEE
- Research focuses on developing efficient, noise-resilient algorithms using structured redundancy and combinatorial insights to recover signals (including graphs, matrices, or quantum states) from limited, noisy, or corrupted data
- Research interests include: Foundations of Machine Learning, Algorithms for Big Data, Coding Theory & Lattices, Information Theory
- Particularly interested in leveraging algebraic and geometric structures to design robust algorithms for modern data-driven tasks
