Fleet management for ride-pooling with meeting points at scale: a case study in the five boroughs of New York City. - Motahare Mounesan; Vindula Jayawardana; Yaocheng Wu; Samitha Samaranayake; Huy T. Vo (CoRR, 2021)

Exploring the Threat of Software Supply Chain Attacks on Containerized Applications. - Motahare Mounesan; Hossein Siadati; Sima Jafarikhah (SIN, 2023)

EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference. - Xiaojie Zhang; Motahare Mounesan; Saptarshi Debroy (WoWMoM, 2023)

EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge. - Motahare Mounesan; Xiaojie Zhang; Saptarshi Debroy (CNSM, 2024)

VECA: Reliable and Confidential Resource Clustering for Volunteer Edge-Cloud Computing. - Hemanth Sai Yeddulapalli; Mauro Lemus Alarcon; Upasana Roy; Roshan Lal Neupane; Durbek Gafurov; Motahare Mounesan; Saptarshi Debroy; Prasad Calyam (IC2E, 2024)

Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud. - Motahare Mounesan; Mauro Lemus; Hemanth Sai Yeddulapalli; Prasad Calyam; Saptarshi Debroy (ICFEC, 2024)

Infer-EDGE: Dynamic DNN Inference Optimization in Just-in-Time Edge-AI Implementations. - Motahare Mounesan; Xiaojie Zhang; Saptarshi Debroy (NOMS, 2025)

Adversarial Autoencoder based Model Extraction Attacks for Collaborative DNN Inference at Edge. - Manal Zneit; Xiaojie Zhang; Motahare Mounesan; Saptarshi Debroy (NOMS, 2025)

AdVAR-DNN: Adversarial Misclassification Attack on Collaborative DNN Inference. - Shima Yousefi; Motahare Mounesan; Saptarshi Debroy (CoRR, 2025)