
Anthony Corso
Postdoctoral Scholar, Aeronautics and Astronautics
Bio
Anthony is a postdoctoral researcher in the Aeronautics and Astronautics Department at Stanford University where he is advised by Professor Mykel Kochenderfer in the Stanford Intelligent Systems Laboratory (SISL) and he is the executive director of the Stanford Center for AI Safety. His research is focused on the use of algorithmic decision-making for safety-critical applications, emphasizing the creation of robust, reliable autonomous systems. He has developed algorithms for the validation and verification of complex autonomous systems such as autonomous vehicles and aviation subsystems. More recently he has applied algorithmic decision making to low-carbon earth resource projects for storing carbon, producing renewable energy, and storing renewable fuels.In 2014 he received a B.S. in physics from Harvey Mudd College with an emphasis on computational methods and in 2016 he received his Master’s in Aeronautics and Astronautics from Stanford. He is a recipient of the Stanford Graduate Fellowship and the Nicholas J. Hoff award for outstanding performance as a Master’s Student.
2022-23 Courses
- Seminar on AI Safety
CS 521 (Spr) -
Prior Year Courses
2021-22 Courses
- Seminar on AI Safety
CS 521 (Spr)
- Seminar on AI Safety
All Publications
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Verification of image-based neural network controllers using generative model
Digital Avionics Systems Conference (DASC)
2021
View details for DOI 10.1109/DASC52595.2021.9594360