no code implementations • 7 Dec 2023 • Ashish R. Hota, Abhisek Satapathi, Urmee Maitra
We investigate the strategic behavior of a large population of agents who decide whether to adopt a costly partially effective protection or remain unprotected against the susceptible-infected-susceptible epidemic.
no code implementations • 2 Nov 2023 • Chi Ho Leung, William E. Retnaraj, Ashish R. Hota, Philip E. Paré
Effective containment of spreading processes such as epidemics requires accurate knowledge of several key parameters that govern their dynamics.
no code implementations • 5 Jul 2023 • Simran Kumari, Susenjit Ghosh, Ashish R. Hota, Siddhartha Mukhopadhyay
Current research on energy related problems such as eco-routing, eco-driving and range prediction for electric vehicles (EVs) primarily considers the effect of longitudinal dynamics on EV energy consumption.
no code implementations • 8 May 2023 • Arghya Mallick, Abhishek Mishra, Ashish R. Hota, Prabodh Bajpai
We propose a distributed optimization framework that coordinates multiple microgrids in an Active Distribution Network (ADN) for provisioning passive voltage support based ancillary services while satisfying operational constraints.
no code implementations • 25 Apr 2023 • Simran Kumari, Ashish R. Hota, Siddhartha Mukhopadhyay
In this paper, we simultaneously tackle the problem of energy optimal and safe navigation of electric vehicles in a data-driven robust optimization framework.
no code implementations • 2 Apr 2023 • Licio Romao, Ashish R. Hota, Alessandro Abate
We present a novel distributionally robust framework for dynamic programming that uses kernel methods to design feedback control policies.
no code implementations • 7 Dec 2022 • Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota
Gradient-based first-order convex optimization algorithms find widespread applicability in a variety of domains, including machine learning tasks.
no code implementations • 15 Sep 2022 • Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava
We study the interplay between epidemic dynamics and human decision making for epidemics that involve reinfection risk; in particular, the susceptible-infected-susceptible (SIS) and the susceptible-infected-recovered-infected (SIRI) epidemic models.
no code implementations • 19 Mar 2022 • Abhisek Satapathi, Narendra Kumar Dhar, Ashish R. Hota, Vaibhav Srivastava
We consider the class of SIS epidemic models in which a large population of individuals chooses whether to adopt protection or to remain unprotected as the epidemic evolves.
no code implementations • 7 Sep 2021 • Ezzat Elokda, Saverio Bolognani, Ashish R. Hota
In this paper, we show how a dynamic population game can model the strategic interaction and migration decisions made by a large population of agents in response to epidemic prevalence.
no code implementations • 26 Jul 2020 • Ashish R. Hota, Kavish Gupta
We study the class of SIS epidemics on temporal networks and propose a new activity-driven and adaptive epidemic model that captures the impact of asymptomatic and infectious individuals in the network.
Physics and Society Social and Information Networks Systems and Control Systems and Control