Registered user since Fri 21 Jun 2024
Ashutosh Trivedi is an Associate Professor of Computer Science at the University of Colorado Boulder, specializing in the development and application of formal methods for the design and analysis of safety-critical learning-enabled systems. He obtained his doctoral degree in computer science from the University of Warwick, with a specialization in game theory and optimization. Prior to his current position, Ashutosh served as an Assistant Professor of Computer Science at the Indian Institute of Technology Bombay. He also worked as a Postdoctoral Research Associate at the University of Pennsylvania and the University of Oxford. Ashutosh is a recipient of the 2022 NSF CAREER award and a Liverpool Fellowship. His research interests lie at the intersection of computer science, control theory, and machine learning, with a focus on formal methods and reinforcement learning.
Contributions
2025
2024
2023
ICSE
- Author of Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks within the Technical Track-track
- Author of Metamorphic Testing and Debugging of Tax Preparation Software within the SEIS - Software Engineering in Society-track
- Author of Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks within the Artifact Evaluation-track