
Robert Moss
Ph.D. Student in Computer Science, admitted Autumn 2021
Bio
Robert Moss is a computer science Ph.D. student at Stanford University studying algorithms to validate safety-critical autonomous systems. He holds an M.S. in computer science from Stanford where his research received the best computer science master’s thesis award and he also received the Centennial TA award for his teaching efforts. He earned his B.S. in computer science with a minor in physics from the Wentworth Institute of Technology in Boston, MA. Robert was an associate research staff member at MIT Lincoln Laboratory where he was on the team that designed, developed, and validated the next-generation aircraft collision avoidance system for commercial aircraft, unmanned vehicles, and rotorcraft. Robert was also a research engineer at the NASA Ames Research Center, developing decision support tools for the VIPER autonomous Lunar rover mission searching for water deposits on the Moon. Robert is a member of the Stanford Intelligent Systems Laboratory, the Stanford Center for Earth Resources Forecasting, and part of the Stanford Center for AI Safety conducting research on methods for high-dimensional planning under uncertainty using low-dimensional surrogate models, autonomous vehicle risk assessment, and efficient algorithms for safety validation.
Education & Certifications
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M.S., Stanford University, Computer Science (2021)
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B.S., Wentworth Institute of Technology, Computer Science (2014)
All Publications
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A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
2021; 72: 377-428
View details for Web of Science ID 000735206800011
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Certification Considerations for Adaptive Stress Testing of Airborne Software
IEEE. 2021
View details for DOI 10.1109/DASC52595.2021.9594395
View details for Web of Science ID 000739652600097
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Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems
IEEE. 2020
View details for Web of Science ID 000646035600136