| 2025 | CNSM | Reinforcement Learning-Driven Edge Management for Reliable Multi-view 3D Reconstruction. | Motahare Mounesan, Sourya Saha, Houchao Gan, Md. Nurul Absur, Saptarshi Debroy |
| 2025 | LCN | AdVAR-DNN: Adversarial Misclassification Attack on Collaborative DNN Inference. | Shima Yousefi, Motahare Mounesan, Saptarshi Debroy |
| 2025 | NOMS | Infer-EDGE: Dynamic DNN Inference Optimization in Just-in-Time Edge-AI Implementations. | Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy |
| 2025 | NOMS | Adversarial Autoencoder based Model Extraction Attacks for Collaborative DNN Inference at Edge. | Manal Zneit, Xiaojie Zhang, Motahare Mounesan, Saptarshi Debroy |
| 2024 | CNSM | EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge. | Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy |
| 2024 | IC2E | 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 |
| 2024 | ICFEC | Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud. | Motahare Mounesan, Mauro Lemus, Hemanth Sai Yeddulapalli, Prasad Calyam, Saptarshi Debroy |
| 2023 | WoWMoM | EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference. | Xiaojie Zhang, Motahare Mounesan, Saptarshi Debroy |
| 2023 | SIN | Exploring the Threat of Software Supply Chain Attacks on Containerized Applications. | Motahare Mounesan, Hossein Siadati, Sima Jafarikhah |