Oishi Deb
PhD
AI and Machine learning for Trustworthy Autonomous Intelligent Machines and Systems

This project focuses on theoretical as well as applied research on trustworthy autonomous intelligent machines and systems to ensure better decision-making in safety-critical applications. It will address vulnerabilities and countermeasures of ML and AI algorithms that are being used in Autonomous Systems (AS). Uncertainty handling and error propagation will be considered as well as various scenarios/methods will also be under investigation.

Track:
Industry Track
PhD Duration:
October 1st, 2023 - July 31st, 2027
First Exchange:
June 1st, 2024 - September 1st, 2024
Second Exchange:
June 1st, 2025 - September 1st, 2025
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