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Collaborations and top research areas from the last five years
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ClassBO: Bayesian Optimization for Heterogeneous Functions
Malu, M., Pedrielli, G., Dasarathy, G. & Spanias, A., 2025, Learning and Intelligent Optimization - 18th International Conference, LION 18, Revised Selected Papers. Festa, P., Ferone, D., Pastore, T. & Pisacane, O. (eds.). Springer Science and Business Media Deutschland GmbH, p. 249-253 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14990 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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High dimensional Bayesian optimization for circuit design
Malu, M., Dow, D., Sharma, P., Cottam, A., Binggeli, M., Dasarathy, G., Pedrielli, G. & Spanias, A., May 2025, In: Intelligent Decision Technologies. 19, 3, p. 1271-1282 12 p.Research output: Contribution to journal › Article › peer-review
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Learning Networks From Wide-Sense Stationary Stochastic Processes
Rayas, A., Cheng, J., Anguluri, R., Deka, D. & Dasarathy, G., 2025, In: IEEE Transactions on Signal and Information Processing over Networks. 11, p. 655-669 15 p.Research output: Contribution to journal › Article › peer-review
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Robust Model Selection of Gaussian Graphical Models
Zahin, A., Anguluri, R., Sankar, L., Kosut, O. & Dasarathy, G., 2025, In: Transactions on Machine Learning Research. 2025-AprilResearch output: Contribution to journal › Article › peer-review
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Structure Learning in Gaussian Graphical Models from Glauber Dynamics
Tirukkonda, V., Rayas, A. & Dasarathy, G., 2025, ISIT 2025 - 2025 IEEE International Symposium on Information Theory, Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE International Symposium on Information Theory - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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CAREER: Learning and Leveraging the Structure of Large Graphs: Novel Theory and Algorithms
Dasarathy, G. (PI)
National Science Foundation (NSF)
9/1/21 → 8/31/26
Project: Research project
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SenSIP Project: Artificial Intelligence Algorithms for Power Converters
Allee, D. (CoI), Dasarathy, G. (CoI) & Spanias, A. (PI)
INDUSTRY: Various Consortium Members
1/1/23 → 12/31/24
Project: Research project
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PIPP Phase I: Computational foundations for bio-social modeling of unseen pandemics
Pedrielli, G. (CoI), Lim, E. (CoI), Lant, T. (CoI), Johnston, E. (CoI), Dasarathy, G. (CoI), Trieu, N. (CoI), Rivera, D. (CoI), Turaga, P. (PI), Li, W. (CoI), Halden, R. (CoI), Woodbury, N. (CoI), Solis, P. (CoI), Simeone, M. (CoI), Berisha, V. (CoI), Buman, M. (CoI), Sankar, L. (CoI) & Kelbauskas, L. (CoI)
National Science Foundation (NSF)
9/15/22 → 12/31/24
Project: Research project
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MaCRoLearn: Manifold Controls for Robust Learning
Dasarathy, G. (CoI), Turaga, P. (PI) & Berisha, V. (CoI)
DOD: Defense Advanced Research Projects Agency (DARPA)
4/4/22 → 12/31/23
Project: Research project
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Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
Dasarathy, G. (PI)
National Science Foundation (NSF)
11/1/21 → 10/31/24
Project: Research project