Mohammad Alizadeh
NEC Professor of Software Science and Engineering; Industry Officer; Director, 6-A MEng Thesis Program
Works at the intersection of computer networks, systems, and machine learning, from datacenter load balancing such as DCTCP and CONGA to ML for designing and optimizing computer systems.
Mohammad Alizadeh's lab at MIT works on distributed, cloud & edge systems. 18 papers since 2023, 7 at top venues, mostly SIGCOMM and ICLR. 30 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 39%
- PhD students
- —
- MS students
- —
- alumni listed
- 30
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 1
- 6 papers2024 · T1 3
- 10 papers2023 · T1 3
T1 venuesOtherVenues: SIGCOMM, ICLR, ICML, VLDB
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems1 paper
- computer networks0 papers
- datacenter0 papers
- computer systems0 papers
- designing0 papers
Paper list
From the lab homepage.
20252 papers
- The International Symposium on Computer Architecture (ISCA).Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion (opens in a new tab)
- ICLR (T1)Online reinforcement learning in non-stationary context-driven environments (opens in a new tab)
20246 papers
- USENIX Symposium on Networked Systems Design and Implementation (NSDI 24).Gemino: Practical and robust neural compression for video conferencing (opens in a new tab)
- ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) Conference.GraphPipe: Improving performance and scalability of DNN training with graph pipeline parallelism (opens in a new tab)
- USENIX Symposium on Networked Systems Design and Implementation (NSDI 24).LDB: An efficient latency profiling tool for multi-threaded applications
- SIGCOMM (T1)m3: Accurate flow-level performance estimation using machine learning
- SIGCOMM (T1)Practical rateless set reconciliation (opens in a new tab)
- SIGCOMM (T1)Principles for internet congestion management
202310 papers
- USENIX NSDI. Best PaperCausalSim: A causal framework for unbiased trace-driven simulation (opens in a new tab)
- ICML (T1)Counterfactual identifiability of bijective causal models (opens in a new tab)
- SIGCOMM (T1)Ekho: Synchronizing cloud gaming media across multiple endpoints
- Proceedings of the ACM SIGMOD International Conference on Management of Data, 1(1):1-27, .FactorJoin: A new cardinality estimation framework for join queries
- Alizadeh, and A.Protego: Overload control for applications with unpredictable lock contention
- Ananthanarayanan, K.RECL: Responsive resource-efficient continuous learning for video analytics
- VLDB (T1)Robust query driven cardinality estimation under changing workloads
- Alizadeh, and T.Scalable tail latency estimation for data center networks (opens in a new tab)
- ACM Transactions on Internet Technology, 23(1):1-26.TuneMan: Customizing networks to guarantee application bandwidth and latency
- IEEE International Conference on Data Engineering (ICDE).Unshackling database benchmarking from synthetic workloads
Where alumni went30 listed
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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