Scholar
Gautam Dasarathy
Google Scholar ID: iSL1cKsAAAAJ
Associate Professor, Electrical Engineering, Arizona State University
Citations & Impact
Citations
1,928
H-index
22
i10-index
29
Publications
20
Co-authors
84
list available
Publications
Resume (English only)
Academic Achievements
- Awarded the Top 5% Teaching Award by ASU's Fulton Schools of Engineering in 2024; Panelist at IEEE + FSE Learning and Teaching Hub AI in Education Event; Published multiple papers including 'Active Sequential Two-Sample Testing' (TMLR), 'On Characterizations of Potential and Ordinal Potential Games' (arXiv), and 'Unraveling Overoptimism and Publication Bias in ML-driven Science' (arXiv); Presented three conference papers at ICASSP 2024 and LION 2024.
Research Experience
- Postdoctoral fellow at Rice University and Carnegie Mellon University, working with Rich Baraniuk and Aarti Singh, respectively. Currently an Associate Professor at Arizona State University and an Amazon Scholar.
Education
- Ph.D. and M.S. in Electrical Engineering from the University of Wisconsin–Madison, advised by Rob Nowak and Stark Draper; B.Tech. in Electronics and Communication Engineering from VIT University in India.
Background
- Associate Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University, with a courtesy appointment in the School of Computing and Augmented Intelligence. Also an Amazon Scholar, working on machine learning and optimization problems. Research interests lie at the intersection of machine learning, statistics, information processing, and networked systems, focusing on data- and compute-efficient learning algorithms in resource-constrained environments.
Miscellany
- Hobbies and interests not mentioned
