Mehrdad Khani Computer Science and Artificial Intelligence Lab Department of Electrical Engineering and Computer Science MIT 32 Vassar Street, 32-G918 Cambridge, MA 02139 Email: khani@mit.edu

I am a Ph.D. candidate in the systems group at MIT CSAIL advised by professor Mohammad Alizadeh. My primary research interests are in the areas of computer networks, applied machine learning, and computer systems, with a focus on networked machine learning systems. I did my undergrad at Sharif University of Technology double majored in computer science and electrical engineering. You can find my CV here.

• RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
  Mehrdad Khani, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
  NSDI 2023
  [Paper]
• Gemino: Practical and Robust Neural Compression for Video Conferencing
  Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze
  [Paper]
• Efficient Video Compression via Content-Adaptive Super-Resolution
  Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh
  ICCV 2021
  [Paper] [Code]
• Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
  Mehrdad Khani, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh
  ICCV 2021
  [Paper] [Code]
• SiP-ML: High-Bandwidth Optical Network Interconnects for Machine Learning Training
  Mehrdad Khani, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi
  SIGCOMM 2021
  [Paper][Code]
• Adaptive Neural Signal Detection for Massive MIMO
  Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
  IEEE Transactions on Wireless Communications 2020
  [Paper] [Code]
• Exploiting Channel Locality for Adaptive Neural Signal Detection for Massive MIMO
  Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
  ICASSP 2020
  [Paper] [Video]
• End-to-End Transport for Video QoE Fairness
  Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani, Prateesh Goyal, Mohammad Alizadeh
  SIGCOMM 2019
  [Paper]
• Park: An Open Platform for Learning Augmented Computer Systems
  Hongzi Mao, Akshay Narayan, Parimarjan Negi, Hanrui Wang, Jiacheng Yang, Haonan Wang, Mehrdad Khani, Songtao He, Ravichandra Addanki, Ryan Marcus, Frank Cangialosi, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
  NeurIPS 2019
  ICML Workshop Best Paper Award
  [Paper] [Code]
• Temporal dynamics of connectivity and epidemic properties of growing networks
  Babak Fotouhi, Mehrdad Khani
  Physical Review E 2016
  American Physical Society (APS) Selected Publication for COVID-19
  [Paper]