Julie Shah
Professor
Designs machine intelligence that lets robots work alongside humans as effective teammates, predicting human actions in factories and hospitals.
Julie Shah's lab at MIT works in Robotics & Autonomous Systems. 4 papers since 2023, 3 at top venues, mostly AAAI and HRI. 56 alumni. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 75%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 56
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 1 papers2024 · T1 1
- 3 papers2023 · T1 2
T1 venuesOtherVenues: AAAI, HRI, T-RO
Research focuspaper titles that use each topic's words
- actions0 papers
- alongside0 papers
- predicting0 papers
- aeronautics0 papers
- astronautics0 papers
Paper list
From the lab homepage.
20241 paper
20233 papers
- AAAI (T1)The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications (opens in a new tab)
- Findings of EACLThe Solvability of Interpretability Evaluation Metrics (opens in a new tab)
- HRI (T1)Varying How We Teach: Adding Contrast Helps Humans Learn about Robot Motions (opens in a new tab)
Where alumni went56 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
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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