Apurv Shukla

Apurv is a Postdoctoral Associate at Texas A&M working with Prof. Le Xie and Prof. P.R. Kumar. His research interest lies in systems and control. He obtained the PhD from Columbia University in 2022 and his bachelor’s degree from IIT Kharagpur, India, in 2016.

Differentially Private Online Resource Allocation with P.R. Kumar
Differentially Private High-Dimensional Bandits arXiv
Ignorance is bliss: Stochastic lookahead economic dispatch under forecast errors, with Le Xie and P.R. Kumar
Efficient Scenario Generation for Chance-constrained Economic Dispatch Considering Ambient Wind Condition arXiv
IEEE TPWRS 2024 with Qian Zhang and Le Xie
Sample Complexity of chance-constrained optimization in a dynamic environment arXiv
ACC 2024 with Qian Zhang and Le Xie
Voltage constrained heavy-duty electrification: formulation and case study arXiv
CDC 2023 with Rayan El-Helou and Le Xie
Robust Streaming PCA arXiv
NeurIPS 2022 with Daniel Bienstock, Minchan Jeong and Seyoung Yun
Variance-Aware Optimal Power Flow arXiv
IEEE TCNS 2019
with Daniel Bienstock
A modified bat algorithm for the quadratic assignment problem, 2015 IEEE Congress on Evolutionary Computation, 486-490

Robust Streaming PCA
- ISMP, 2018
- INFORMS Annual Meeting, 2017, 2018
- NeurIPS Workshop on Time Series Analysis, 2017
- Los Alamos National Lab Center for Non-Linear Studies Seminar, 2017