About me

I am Pouya Hamadanian, a PhD student at the Networks and Mobile Systems (NMS) group at the Computer Science and Intelligence Laboratory (CSAIL), MIT. I am advised by Mohammad Alizadeh, and I work on the intersection of Machine Learning and Systems, and recently I’ve been researching Cloud Gaming Solutions.

In the summer of 2022, I completed a research internship in Microsoft Research Seattle, at the Networking Research Group (NRG) under the supervision of Krishna Chintalapudi. I designed a system called Ekho, which is a synchronization schemes for cloud gaming media, and we published Ekho at SIGCOMM ‘23.

In the summer of 2023, I completed another research internship in Microsoft Research Seattle, at the Networking Research Group (NRG) under the supervision of Sadjad Fouladi and Ranveer Chandra. I worked on the interplay of the networking domain and Large Language Models; I investigated how LLMs could be useful for debugging networking problems, and how we can design efficient inference systems for LLMs.

I received an EECS M.S. degree from MIT in 2022, and a B.S. in Electrical Engineering from Sharif University of Technology, Tehran.

Broadly, my research interests include:

• Robust Reinforcement Learning in Practical Applications
• Safe/Non-stationary Continual Learning
• Data-driven Simulation
• Cloud Game Streaming Technology
• LLM inference/training frameworks