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

Pouya Hamadanian

  • (2022) M.S. EECS, MIT
  • (2019) B.S. EE, Sharif

News

8 September, 2023

Our paper on using LLMs for network incident management was accepted to HotNets '23.

31 August, 2023

Ekho at MIT's front page! MIT News covered Ekho.

31 May, 2023

I'm joining NRG at MSR Seattle for a research internship

... see all News