activity
20182026
most citedOptimal Virtual Cluster-based Multiprocessor Scheduling

78 citations · 510 across the 71 of their papers we have counts for

collaborators
Showing 2025Show all

14 papers · 1 filter

cs.DC2025★ 1 cited

Real-Time Service Subscription and Adaptive Offloading Control in Vehicular Edge Computing

Chuanchao Gao, Arvind Easwaran

Vehicular Edge Computing (VEC) has emerged as a promising paradigm for enhancing the computational efficiency and service quality in intelligent transportation systems by enabling…

cs.LG2025

Disentangled and Distilled Encoder for Out-of-Distribution Reasoning with Rademacher Guarantees

Zahra Rahiminasab, Michael Yuhas, Arvind Easwaran

Recently, the disentangled latent space of a variational autoencoder (VAE) has been used to reason about multi-label out-of-distribution (OOD) test samples that are derived from di…

eess.SY2025

PAC One-Step Safety Certification for Black-Box Discrete-Time Stochastic Systems

Taoran Wu, Dominik Wagner, Jingduo Pan +3

This paper investigates the problem of safety certification for black-box discrete-time stochastic systems, where both the system dynamics and disturbance distributions are unknown…

eess.SY2025

Managing Charging Induced Grid Stress and Battery Degradation in Electric Taxi Fleets

Michael Yuhas, Rajesh K. Ahir, Laksamana Vixell Tanjaya Hartono +3

Operating fleets of electric vehicles (EVs) introduces several challenges, some of which are borne by the fleet operator, and some of which are borne by the power grid. To maximize…

cs.DC2025★ 1 cited

Energy-Efficient Joint Offloading and Resource Allocation for Deadline-Constrained Tasks in Multi-Access Edge Computing

Chuanchao Gao, Arvind Easwaran

This paper addresses the deadline-constrained task offloading and resource allocation problem in multi-access edge computing. We aim to determine where each task is offloaded and p…

cs.SE2025

DesCartes Builder: A Tool to Develop Machine-Learning Based Digital Twins

Eduardo de Conto, Blaise Genest, Arvind Easwaran +2

Digital twins (DTs) are increasingly utilized to monitor, manage, and optimize complex systems across various domains, including civil engineering. A core requirement for an effect…