Vidya Muthukumar received the B.Tech (with honors) degree from the Indian Institute of Technology, Madras and the Ph.D. degree in Electrical Engineering from University of California, Berkeley. She interned at IBM Research in the summer of 2018 as a Science for Social Good fellow. Before joining Georgia Tech, she spent a semester at the Simons Institute for the Theory of Computing as a research fellow for the program “Theory of Reinforcement Learning.”
Dr. Muthukumar is the recipient of a Simons-Berkeley research fellowship, IBM Science for Social Good Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award. Dr. Muthukumar serves on the senior program committee for COLT 2021.
In her spare time, Dr. Muthukumar enjoys singing Carnatic vocal music, playing the piano, and long-distance cycling.
- Ph.D., Electrical Engineering, University of California, Berkeley
- B.Tech (Honors), Electrical Engineering, IIT Madras
Professor Muthukumar’s research centers on signal processing and its applications in communication systems, sensor networks, and data analytics. Her work involves designing efficient algorithms for signal reconstruction, adaptive filtering, and information extraction. She explores interdisciplinary approaches to enhance system performance and robustness, contributing to advancements in both theoretical frameworks and practical implementations in electrical and computer engineering.
Professor Muthukumar’s teaching interests focus on foundational and advanced topics in electrical and computer engineering, including digital signal processing, embedded systems, and communications at undergraduate and graduate levels. She emphasizes practical learning experiences and the integration of theoretical concepts with real-world engineering problems. Professor Muthukumar also mentors students in developing technical skills and critical thinking required for research and innovation.
- R Ghuge, V Muthukumar, S Singla, Improved and Oracle‑Efficient Online ℓ1‑Multicalibration, ICML 2025
- G Wang, Z Hu, C Gentile, V Muthukumar, J Abernethy, Faster margin maximization rates…, Mathematical Programming, 2025
- V Muthukumar, S Phade, A Sahai, On the impossibility of convergence…, Math. of Operations Research 50(4), 2025
- C Kaushik, J Romberg, V Muthukumar, Approximating high‑dimensional empirical kernel matrices, arXiv:2511.03892, 2025
- J.C. Hill, T. LaBonte, X. Zhang, V. Muthukumar, On the unreasonable effectiveness of last‑layer retraining, arXiv:2512.01766, 2025