John Tsitsiklis
Clarence J. LeBel Professor in Electrical Engineering and Computer Science (post-tenure)
Studies probability, linear optimization, neuro-dynamic programming, and parallel and distributed computation.
John Tsitsiklis's lab at MIT works on learning theory & optimization and distributed, cloud & edge systems. 1 paper since 2023. 72 alumni. Applications close .
At a glance
- papers, 2023–2026
- 0/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- 72
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Learning theory & optimization0 papers
- Distributed, cloud & edge systems0 papers
- probability0 papers
- linear0 papers
- parallel0 papers
Paper list
From the lab homepage.
20231 paper
- 4Jumping Fluid Models and Delay Stability of Max-Weight Dynamics under Heavy-Tailed Traffic
Where alumni went72 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.
Similar labsnearest by research summary
- USCMU
Giulia Fanti
- Trustworthy & safe ML
- USUT Austin
Leqi Liu
- Large language models
- SGNTU
Chai Quek
- Computational neuroscience & cognition
- USNYU
Emily Black
- Trustworthy & safe ML
- CAToronto
Nisarg Shah
- Learning theory & optimization
- CNZhejiang
Yongchuan Tang
0 T1
Your notes
Save this lab to keep notes.
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.
MITcloses