Sheila A. McIlraith

Stanford University, University of Toronto, Vector Institute

Papers

11

Total Citations

287

H-Index

8

About

Sheila A. McIlraith is a leading figure in artificial intelligence, whose work bridges automated planning, diagnosis, and human-robot interaction. Her research centers on developing intelligent agents capable of reasoning, planning, and acting under uncertainty, with a particular focus on integrating preferences, sensing, and social cognition. McIlraith’s foundational contributions include pioneering work on hybrid systems diagnosis (86 citations) and planning with preferences (76 citations), which have shaped how autonomous systems handle complex, real-world environments. She has also advanced fully observable non-deterministic (FOND) planning, notably through the PRP rebooted system (2024), and tackled the challenging problem of contingent planning under partial observability (48 citations). More recently, her exploration of Theory of Mind for proactive robotic assistance (19 citations) has opened new frontiers in socially intelligent robotics. McIlraith’s impact extends to formal methods, with influential work on LTL synthesis for finite traces (15 citations) and the development of SynKit, a synthesis-as-a-service tool (12 citations). Her research, widely cited and applied, continues to drive progress in autonomous systems, from robot controllers to business process automation.

Research Focus

Key Achievements

8
H-Index
11
Papers
287
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Systems Diagnosis
86 citations · 2000
📈 Most Prolific Year: 2000 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Stanford University, University of Toronto, Vector Institute

Top Papers

  1. 1
    Hybrid Systems Diagnosis
    86 citations · 2000
  2. 2
    Planning with Preferences
    76 citations · 2008
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago