Mohammad Alizadeh

Mohammad Alizadeh is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT, affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). He holds additional roles as Director of the 6-A MEng Thesis Program and Industry Officer for EECS, overseeing the EECS Alliance industry outreach program. His research focuses on computer networks, systems, and their applications in datacenters, cloud computing, and edge computing. Notable areas include machine learning for systems, congestion control, and network protocols.

• Education: PhD (Stanford University), MS in Electrical Engineering (Stanford), BS (Sharif University of Technology).
• Industry Experience: Former roles at Microsoft Research, Insieme Networks, and Cisco Systems.

Research Interests: Alizadeh’s work emphasizes improving network performance, robustness, and management in large-scale systems. Key projects include DCTCP, CONGA, and Pensieve (adaptive video streaming with reinforcement learning). His contributions span network architecture, programmable switches, and learning-based systems.

Awards:

• NSF CAREER Award
• Alfred P. Sloan Research Fellowship
• SIGCOMM Rising Star Award
• Microsoft Research Faculty Fellowship

Teaching: Courses include 6.888 (Advanced Topics in Networking), 6.829 (Computer Networks), and 6.02 (Digital Communication Systems). His teaching emphasizes cutting-edge networking research and practical system design.

Labs/Teams: Active member of CSAIL, leading projects in distributed systems, network protocols, and cloud computing.