Scholar
Michael Everett
Google Scholar ID: SxinYKMAAAAJ
Assistant Professor, Northeastern University
Citations & Impact
Citations
4,326
H-index
22
i10-index
28
Publications
20
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Winner: Best Student Paper Award (IEEE TC on Aerospace Control, 2023); Runner-Up: Best Paper Award (1st Workshop on Formal Verification of Machine Learning, ICML 2022); Editors’ Top 5 Published Articles of 2021 (IEEE Access); Winner: Best Paper Award on Cognitive Robotics (IROS 2019); Winner: Best Student Paper (IROS 2017); Finalist: Best Paper Award on Cognitive Robotics (IROS 2017); Finalist: Best Multi-Robot Systems Paper (ICRA 2017); iCampus Student Prize Winner for ofcourse.mit.edu.
Research Experience
- Was a Visiting Faculty Researcher with Google’s People + AI Research (PAIR) team, developing novel techniques for explainable and trustworthy AI. Previously, a Research Scientist and Postdoctoral Associate at the MIT Department of Aeronautics and Astronautics, working on the DARPA RACER program, the ARL SARA program, and advancing the field of certifiable learning.
Education
- Received PhD (2020), SM (2017), and SB (2015) degrees from MIT in Mechanical Engineering.
Background
- Currently an Assistant Professor at Northeastern University, with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. Directs the Autonomy & Intelligence Laboratory. Research lies at the intersection of robotics, deep learning, and control theory, aiming to develop certifiable learning machines. Specific techniques of interest include reinforcement learning, reachability analysis, learning cost-to-go functions, bridging semantic perception and motion planning, and model predictive control. A key application area is navigation in challenging environments, such as off-road (e.g., forests, deserts) and alongside humans (e.g., on busy sidewalks, in crowded buildings).
Miscellany
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