Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. - Mehrdad Khani Shirkoohi; Pouya Hamadanian; Arash Nasr-Esfahany; Mohammad Alizadeh (ICCV, 2021)

CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. - Abdullah Alomar; Pouya Hamadanian; Arash Nasr-Esfahany; Anish Agarwal; Mohammad Alizadeh; Devavrat Shah (CoRR, 2022)

Reinforcement Learning in Time-Varying Systems: an Empirical Study. - Pouya Hamadanian; Malte Schwarzkopf; Siddartha Sen; Mohammad Alizadeh (CoRR, 2022)

A Holistic View of AI-driven Network Incident Management. - Pouya Hamadanian; Behnaz Arzani; Sadjad Fouladi; Siva Kesava Reddy Kakarla; Rodrigo Fonseca; Denizcan Billor; Ahmad Cheema; Edet Nkposong; Ranveer Chandra (HotNets, 2023)

CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. - Abdullah Alomar; Pouya Hamadanian; Arash Nasr-Esfahany; Anish Agarwal; Mohammad Alizadeh; Devavrat Shah (NSDI, 2023)

Ekho: Synchronizing cloud gaming media across multiple endpoints. - Pouya Hamadanian; Doug Gallatin; Mohammad Alizadeh; Krishna Chintalapudi (SIGCOMM, 2023)

Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments. - Pouya Hamadanian; Arash Nasr-Esfahany; Siddartha Sen; Malte Schwarzkopf; Mohammad Alizadeh (CoRR, 2023)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments. - Pouya Hamadanian; Arash Nasr-Esfahany; Malte Schwarzkopf; Siddhartha Sen 001; Mohammad Alizadeh (ICLR, 2025)

Glinthawk: A Two-Tiered Architecture for High-Throughput LLM Inference. - Pouya Hamadanian; Sadjad Fouladi (CoRR, 2025)