Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 15 Life on Land
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Dive into the research topics where Anirudh Subramanyam 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
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Projects
- 1 Active
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Collaborative Research: AMPS: Robust Failure Probability Minimization for Grid Operational Planning with Non-Gaussian Uncertainties
Subramanyam, A. (PI)
12/1/22 → 11/30/26
Project: Research project
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A branch-and-cut algorithm for routing a heterogeneous drone-ground vehicle fleet to deliver time-sensitive products
Hosseini Dolatabadi, S. H., Bhuiyan, T. H., Kaleem, W., Subramanyam, A. & Cokyasar, T., Feb 2026, In: Transportation Research Part C: Emerging Technologies. 183, 105454.Research output: Contribution to journal › Article › peer-review
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Extreme-scale EV charging infrastructure planning for last-mile delivery using high-performance parallel computing
Kaleem, W., Cokyasar, T., Larson, J., Verbas, O., Bhuiyan, T. H. & Subramanyam, A., Mar 2026, In: Transportation Research Part B: Methodological. 205, 103403.Research output: Contribution to journal › Article › peer-review
Open Access -
Spatially explicit optimization of urban green infrastructure for multiple ecosystem services using deep learning surrogates
Dong, Y., Subramanyam, A. & Wu, H., Jan 30 2026, In: Environmental Modelling and Software. 196, 106758.Research output: Contribution to journal › Article › peer-review
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Remarks on: A Lagrangian dual method for two-stage robust optimization with binary uncertainties
Lefebvre, H. & Subramanyam, A., 2025, (Accepted/In press) In: Optimization and Engineering.Research output: Contribution to journal › Article › peer-review
Open Access -
Discrete-Continuous Gaussian Mixture Models for Wind Power Generation
Yi, T., Dey, S., Maldonado, D. A., Mehrotra, S. & Subramanyam, A., 2024, In: IEEE Power and Energy Society General Meeting.Research output: Contribution to journal › Conference article › peer-review