5 papers
Physics-Informed Tensor Completion with Application to Distribution System State Estimation
Alexander While, Anil Aswani, Chen Chen +1
State estimation in power distribution networks often involves sparse, noisy, and heterogeneous measurements, making classical weighted least-squares methods unreliable in low-obse…
Collusion-proof Auction Design using Side Information
Sukanya Kudva, Edward Dowling, Anil Aswani
Existing auction mechanisms are vulnerable to bidder collusion, which substantially degrades revenue and non-colluder welfare. To design truthful mechanisms resilient to collusion,…
Attack Detection in Dynamic Games with Quadratic Measurements
Muyan Jiang, Anil Aswani
This paper studies attack detection for discrete-time linear systems with stochastic process noise that produce both a vulnerable (i.e., attackable) linear measurement and a secure…
Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model
Muyan Jiang, Yunkai Zhang, Anil Aswani
Estimating the impact of continuous treatment variables (e.g., dosage amount) on binary outcomes presents significant challenges in modeling and estimation because many existing ap…
Understanding the Impact of Coalitions between EV Charging Stations
Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari +2
The rapid growth of electric vehicles (EVs) is driving the expansion of charging infrastructure globally. As charging stations become ubiquitous, their substantial electricity cons…