| Real-Time Video Inference on Edge Devices via Adaptive Model Streaming M Khani, P Hamadanian, A Nasr-Esfahany, M Alizadeh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 72* | 2021 |
| {CausalSim}: A Causal Framework for Unbiased {Trace-Driven} Simulation A Alomar*, P Hamadanian*, A Nasr-Esfahany*, A Agarwal, M Alizadeh, ... 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2023 | 48* | 2023 |
| A Holistic View of AI-driven Network Incident Management P Hamadanian, B Arzani, S Fouladi, SKR Kakarla, R Fonseca, D Billor, ... Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 180-188, 2023 | 37 | 2023 |
| Ekho: Synchronizing cloud gaming media across multiple endpoints P Hamadanian, D Gallatin, M Alizadeh, K Chintalapudi Proceedings of the ACM SIGCOMM 2023 Conference, 533-549, 2023 | 11 | 2023 |
| How Reinforcement Learning Systems Fail and What to do About It P Hamadanian, M Schwarzkopf, S Sen, M Alizadeh The 2nd Workshop on Machine Learning and Systems (EuroMLSys), 2022 | 10 | 2022 |
| Demystifying Reinforcement Learning in Time-Varying Systems P Hamadanian, M Schwarzkopf, S Sen, M Alizadeh arXiv preprint arXiv:2201.05560, 2022 | 7 | 2022 |
| Reinforcement learning in time-varying systems: An empirical study P Hamadanian Massachusetts Institute of Technology, 2022 | 5 | 2022 |
| Glia: A Human-Inspired AI for Automated Systems Design and Optimization P Hamadanian, P Karimi, A Nasr-Esfahany, K Noorbakhsh, J Chandler, ... arXiv preprint arXiv:2510.27176, 2025 | 4 | 2025 |
| Online Reinforcement Learning in Non-Stationary Context-Driven Environments P Hamadanian, A Nasr-Esfahany, M Schwarzkopf, S Sen, M Alizadeh The Thirteenth International Conference on Learning Representations, 2025 | 4 | 2025 |
| Synchronizing audio streams in cloud-based gaming environment KK Chintalapudi, P HAMADANIAN, D GALLATIN, T POUGET-ABADIE US Patent 12,390,724, 2025 | | 2025 |
| Glinthawk: A Two-Tiered Architecture for Offline LLM Inference P Hamadanian, S Fouladi arXiv preprint arXiv:2501.11779, 2025 | | 2025 |
| Predict, Prune, Play: Efficient Video Playback Optimization Under Device Diversity and Drift H Sharma, P Hamadanian, A Nasr-Esfahany, Z Akhtar, M Alizadeh | | |
Mohammad AlizadehProfessor of Computer Science, MITVerified email at csail.mit.edu
