Research output per year
Research output per year
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Dive into the research topics where Lalitha Sankar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Generation of synthetic multi-resolution time series load data
Pinceti, A., Sankar, L. & Kosut, O., 2023, (Accepted/In press) In: IET Smart Grid.Research output: Contribution to journal › Article › peer-review
Open Access -
PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid
Arunkumar, A., Pinceti, A., Sankar, L. & Bryan, C., Jan 1 2023, In: IEEE Transactions on Visualization and Computer Graphics. 29, 1, p. 1081-1090 10 p.Research output: Contribution to journal › Article › peer-review
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Smoothly Giving up: Robustness for Simple Models
Sypherd, T., Stromberg, N., Nock, R., Berisha, V. & Sankar, L., 2023, In: Proceedings of Machine Learning Research. 206, p. 5376-5410 35 p.Research output: Contribution to journal › Conference article › peer-review
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Synthetic PMU Data Creation Based on Generative Adversarial Network Under Time-varying Load Conditions
Zheng, X., Pinceti, A., Sankar, L. & Xie, L., Jan 1 2023, In: Journal of Modern Power Systems and Clean Energy. 11, 1, p. 234-242 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Complex-LASSO Approach for Localizing Forced Oscillations in Power Systems
Anguluri, R., Taghipourbazargani, N., Kosut, O. & Sankar, L., 2022, 2022 IEEE Power and Energy Society General Meeting, PESGM 2022. IEEE Computer Society, (IEEE Power and Energy Society General Meeting; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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PIPP Phase I: Computational foundations for bio-social modeling of unseen pandemics
Pedrielli, G., Lim, E., Lant, T., Johnston, E., Dasarathy, G., Trieu, N., Rivera, D., Turaga, P., Li, W., Halden, R., Woodbury, N., Solis, P., Simeone, M., Berisha, V., Buman, M., Sankar, L. & Kelbauskas, L.
National Science Foundation (NSF)
9/15/22 → 2/29/24
Project: Research project
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Collaborative Research: SCH: Fair Federated Representation Learning for Breast Cancer Risk Scoring
National Science Foundation (NSF)
9/15/22 → 8/31/26
Project: Research project
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PSERC Engagement Account - Sankar
INDUSTRY: Various Consortium Members
1/1/22 → 12/31/23
Project: Research project
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Unifying Information- and Optimization-theoretic approaches for modeling and training Generative Adversarial Networks
Nedich, A., Lan, S., Sankar, L. & Pedrielli, G.
National Science Foundation (NSF)
10/1/21 → 9/30/24
Project: Research project