H. D. Kaushik and F. Yousefian, A Method with Convergence Rates for Optimization Problems with Variational Inequality Constraints, SIAM Journal on Optimization, 31 (3), 2171–2198, 2021. doi: 10.1137/20M1357378 . [Link]
H. D. Kaushik, S. Samadi, and F. Yousefian, An Incremental Gradient Method for Optimization Problems with Variational Inequality Constraints, IEEE Transactions on Automatic Control, 2023, 68(12), 7879-7886.
S. Badakhshan, H. D. Kaushik, and J. Zhang, Stochastic Optimization of Small Modular Reactor and Battery Sizing for Maritime Decarbonization Under Voyage Uncertainties, IEEE Transactions on Transportation Electrification, 2025. DOI: 10.1109/TTE.2025.3577938.
H. D. Kaushik, J. Wang, R. A. Jacob, and J. Zhang, Electric Vehicle Charger Infrastructure Planning: Integrating Demand Estimation, Coverage Optimization, and Grid Load Management, Cell Report iScience, 2025. DOI: https://doi.org/10.1016/j.isci.2025.113368.
H. D. Kaushik, R. A. Jacob, S. Chowdhury, and J. Zhang, Grid Restoration Under Uncertainty Considering Coupled Transportation-Power Networks. Submitted to Sustainability (under review) 2025.
H. D. Kaushik, A. M. Rad, K. Adebajo, S. Badakhshan, N. Cooper, A. Downey, and J. Zhang, Stochastic Sizing and Balance-of-Plant Design of Hybrid Hydrogen Fuel Cell Powertrains with Lithium-Ion and Aluminum-Air Batteries for Utility Aircraft, Submitted to ASME Journal of
Mechanical Design, Jan 2026.
P. Ramu and H. D. Kaushik, A log-third order polynomial normal transformation approach for high-reliability estimation with scarce samples, International Journal of Reliability and Safety, 14 (1), 14–38, 2020. [Link]
H. D. Kaushik, J. Wang, R. A. Jacob, and J. Zhang, Electric Vehicle Charger Infrastructure Planning: Demand Estimation, Coverage optimization Over an Integrated Power Grid, Published in the Proceedings of IEEE PES General Meeting (PESGM), June 2025.
J. Wang, R. A. Jacob, H. D. Kaushik, and J. Zhang, Reinforcement Learning for V2G Voltage Regulation: Single-Hub to Multi-Hub Coordination with Battery-Aware Constraints, Under revision in the Proceedings of IEEE PES General Meeting (PESGM), June 2026.
N. Maurer, H. D. Kaushik, R. A. Jacob, J. Zhang, and S. Chowdhury, Learning-Aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks, Published in the Proceedings of the ASME IDETC-CIE Conference, August 2025.
Y. Xiao, H. D. Kaushik, J. Wang, J. Zhang, and Z. Sha, Electric Vehicle Charging Network Optimization Considering Regional Resource Dependencies, Published in Proceedings of the ASME IDETC-CIE Conference, August 2025.
J. Wang, H. D. Kaushik, and J. Zhang, Optimal Planning of Electric Vehicle Charging Stations: Integrating Public Charging Networks and Transportation Congestion, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2024.
H. D. Kaushik, R. A. Jacob, S. Chowdhury, J. Zhang, Distribution Network Restoration: Resource Scheduling Considering Coupled Transportation-Power Networks, IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, April 25 - 26, 2024.
A. Al-Tawaha, H. D. Kaushik, and M. Jin, Decision-focused learning for inverse noncooperative games: Generalization bounds and convergence analysis, accepted for IFAC World Congress, March 2023.
M. Jin, V. Khattar, H. D. Kaushik, B. Sel, and R. Jia, On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds, accepted at the 36th AAAI Conference on Artificial Intelligence (AAAI-23), January 2023.
H. D. Kaushik and M. Jin, Iterative Implicit Gradients for Nonconvex Optimization with Variational Inequality Constraints, submitted March. 2022. [arXiv]
H. D. Kaushik and F. Yousefian, An Incremental Gradient Method for Large-scale Distributed Nonlinearly Constrained Optimization, 2021 American Control Conference (ACC), 2021, pp. 953–958. [Link]
H. D. Kaushik and F. Yousefian, A Randomized Block Coordinate Iterative Regularized Subgradient Method for High-dimensional Ill-posed Convex Optimization, in 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 3420–3425. [Link]
F. Yousefian, J. Yevale, and H. D. Kaushik, Distributed Randomized Block Stochastic Gradient Tracking Method, submitted Oct. 2021. [arXiv]
H. D. Kaushik, R. Mohan, and K.A. Prakash, Utilization of wind shear for powering unmanned aerial vehicles in surveillance application: A numerical optimization study, Energy Procedia, 90, 349–359, 2016. [Link]
Conference Presentations
“Hybrid Powertrain Optimization for Regional Aircraft Integrating Hydrogen Fuel Cells and Aluminum Air Batteries”, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE) 2025, Anaheim, CA (Aug. 18th, 2025).
“Electric Vehicle Charger Infrastructure Planning: Demand Estimation, Coverage Optimization Over an Integrated Power Grid”, IEEE Power & Energy Society General Meeting (PESGM) 2025, Austin, TX (July 28th, 2025).
“Power Grid Restoration Under Uncertainty Considering Coupled Transportation-Power Networks”, UTD Comet Computing Conference 2025, Dallas, TX (May 22th, 2025).
“Decision-focused utility learning”, INFORMS Annual Meeting 2022, Indianapolis, IN (Oct. 16th, 2022).
Guest Lecture for an Advanced Machine Learning Course, ECE 5424 - Virginia Tech (April 21st, 2022).
“Decision-focused Utility Learning”, Poster presentation at the CPES-PEC Conference, Virginia Tech (April 14th, 2022).
"Distributed optimization problems with variational inequality constraints: algorithms, complexity analysis, and applications", INFORMS Annual Meeting 2021, online (Oct 24th, 2021).
"An incremental gradient method for large-scale distributed nonlinearly constrained optimization", American Control Conference 2021, online (May 25th, 2021).
"An incremental gradient method for large-scale distributed nonlinearly constrained optimization", INFORMS Annual Meeting 2020 (Nov. 13th, 2020).
"First-order methods for optimization over the solution set of variational inequality problems", INFORMS Annual Meeting 2019, Seattle, WA (Oct. 22nd, 2019).
"A randomized block coordinate iterative regularized subgradient method for high-dimensional ill-posed convex optimization", American Control Conference 2019 , Philadelphia, PA (Jul. 11th, 2019).
"A first order method for high-dimensional ill-posed optimization problems", INFORMS Annual Meeting 2018, Phoenix, AZ (Nov. 5th, 2018).
"Utilization of wind shear for powering unmanned aerial vehicles in surveillance application: A numerical optimization study", 5th International Conference on Advances in Energy Research, ICAER 2015, Mumbai, India (Dec. 16th, 2015).