activity
20112026
most citedAn Adaptive Quantum-inspired Differential Evolution Algorithm for 0-1 Knapsack Problem

46 citations · 76 across the 30 of their papers we have counts for

collaborators

37 papers

eess.SY2026

Prosumer-Centric Flexible Dynamic Operating Envelopes for Low-Voltage Distribution Networks

Abhishek Mishra, Ashish R. Hota, Gayan Lankeshwara +3

As the share of distributed energy resources (DERs) increases in the distribution network, maintaining compliance with network constraints has become a challenge. In this context,…

math.OC2026

Robust Receding Horizon Games with Additive Uncertainty

Dinesh Patra, Tanish Jain, Ashish R. Hota

We study a receding horizon game in which multiple agents drive linear systems subject to additive disturbances, private state and input constraints, and shared coupling constraint…

eess.SY2026

Encirclement Guaranteed Finite-Time Capture against Unknown Evader Strategies

Dinesh Patra, Prajakta Surve, Ashish R. Hota +1

We consider a pursuit-evasion scenario involving a group of pursuers and a single evader in a two-dimensional unbounded environment. The pursuers aim to capture the evader in finit…

eess.SY2026

When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction

Kaizer Rahaman, Jyotirmoy V. Deshmukh, Ashish R. Hota +1

Autonomous systems operate in environments that may change over time. An example is the control of a self-driving vehicle among pedestrians and human-controlled vehicles whose beha…

q-bio.PE2025

Bi-Virus SIS Epidemic Propagation under Mutation and Game-theoretic Protection Adoption

Urmee Maitra, Ashish R. Hota, Vaibhav Srivastava

We study a bi-virus susceptible-infected-susceptible (SIS) epidemic model in which individuals are either susceptible or infected with one of two virus strains, and consider mutati…

cs.RO2025

Distributionally Robust Safe Motion Planning with Contextual Information

Kaizer Rahaman, Simran Kumari, Ashish R. Hota

We present a distributionally robust approach for collision avoidance by incorporating contextual information. Specifically, we embed the conditional distribution of future traject…