Sol Zilberman
Research
- My research focuses on assurance for learning-enabled safety-critical systems
(e.g., autonomous vehicles).
- Below is a collection of broad topics my work has touched upon thus far:
- Evolutionary Computation
- Trustworthy Autonomous Vehicles
- Deep Learning
- Reinforcement Learning
- High Assurance Computing
- Game Theory
- Computer Graphics
- Adaptive Systems
Publications
-
"No Free Lunch" when using Large Language Models to Verify Self-Generated
Programs
(link)
Sol Zilberman, and Betty H.C. Cheng, 4th International Workshop on Artificial Intelligence in
Software Testing, AIST 2024, Toronto, Canada, May 28, 2024, (IEEE), May 2024
-
SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and
Mitigate Uncertainty for Autonomous Vehicles
(link)
Kenneth Chan, Sol Zilberman, Nick Polanco, Joshua E. Siegel, and Betty H.C. Cheng, 19th IEEE/ACM
Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2024, Lisbon,
Portugal, April 15-16, 2024, (ACM), April 2024
-
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence
(link)
Michael Austin Langford, Sol Zilberman, and Betty H.C. Cheng, ACM Transactions on Autonomous and
Adaptive Systems, (ACM), March 2024
Teaching
- CSE 231 - Introduction to Programming (Fall 2023, Summer 2024)
- CSE 325 - Computer Systems (Spring 2024)
Education
-
Doctor of Philosophy, Computer Science (Exp. 2026)
Michigan State University
Advisor: Dr. Betty H.C. Cheng
Awards: Distinguished Engineer Fellowship Recipient
-
Bachelor of Science (B.S.) Mathematics & Computer Science, Minor in Philosophy 2018 -
2022
Purdue University
Awards: Freshman Honors Society, National Honors Society
Experience
-
Research Assistant (August 2022 - May 2023)
Michigan State University
Researched state of the art techniques for the development and deployment of trustworthy
learning-enabled autonomous systems, with focus on adaptive unmanned aerial vehicles employing object
detection models.
-
Automation Engineer Intern (Summer 2022)
Ironclad
Expanded automation framework and increased regression detection for over 500,000 yearly user events via
custom mobile testing suite.
-
Security Engineer Intern (Summer 2021)
Accenture
Improved internal security infrastructure through development of data-driven Python applications,
increasing security incident detection rate and minimizing response time.
-
Software Engineer Intern (Summer 2020)
Perflo
Developed and implemented a data analytics dashboard using GraphQL API, Postgresql, and a custom React
library for a B2B project-management application.