Gautam Dasarathy

Assistant Professor

Assistant Professor, IAFSE-ECEE: Electrical Engineering
Assistant Professor, IAFSE-ECEE: Sensor, Signal and Information Processing Center (SenSIP)
Assistant Professor, Electrical, Computer, and Energy Engineering, School of (ECEE)
Assistant Professor, Global Security Initiative (GSI)

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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240 Citations
10 h-Index
17 Conference contribution
4 Article
4 Conference article
2 Paper

Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model
Janiczek, J., Thaker, P., Dasarathy, G., Edwards, C. S., Christensen, P. & Jayasuriya, S., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 649-666 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12372 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems
Thaker, P. K., Dasarathy, G. & Nedic, A., Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1438-1443 6 p. 9174368. (IEEE International Symposium on Information Theory - Proceedings; vol. 2020-June).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
On the α-loss Landscape in the Logistic Model
Sypherd, T., Diaz, M., Sankar, L. & Dasarathy, G., Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2700-2705 6 p. 9174356. (IEEE International Symposium on Information Theory - Proceedings; vol. 2020-June).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
A data-driven and distributed approach to sparse signal representation and recovery
Mousavi, A., Dasarathy, G. & Baraniuk, R. G., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
5 Scopus citations
Distance-Penalized Active Learning via Markov Decision Processes
Wang, D., Lipor, J. & Dasarathy, G., Jun 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 155-159 5 p. 8755602. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Not started
6 Active

Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
Dasarathy, G. & Zhang, J.
National Science Foundation (NSF)
10/1/20 → 9/30/23
Project: Research project
CIF: Small: Alpha Loss: A New Framework for Understanding and Trading Off Computation, Accuracy, and Robustness in Machine Learning
Sankar, L. & Dasarathy, G.
National Science Foundation (NSF)
10/1/20 → 9/30/23
Project: Research project
Graphical Models from Partially Observed Interactions with Biomedical Applications
Dasarathy, G.
HHS-NIH: National Institute of General Medical Sciences (NIGMS)
8/1/20 → 7/31/23
Project: Research project
RAPID: Active Tracking of Disease Spread in CoVID19 via Graph Predictive Analytics
Liu, H., Solis, P., Dasarathy, G., Turaga, P. & Cochran, D.
National Science Foundation (NSF)
5/1/20 → 4/30/21
Project: Research project
SenSIP Project: Artificial Intelligence Algorithms for Power Converters
Spanias, A., Allee, D. & Dasarathy, G.
INDUSTRY: Various Consortium Members
1/13/20 → 6/30/22
Project: Research project