TAS Lab welcomes applications from students interested in trustworthy machine learning, adversarial robustness, secure AI systems, and dependable intelligent engineering.
Prospective applicants are encouraged to email Prof. Patrick Chan with a short self-introduction, CV, transcript, research interests, and any representative publications or projects.
We are particularly interested in applicants with backgrounds in machine learning, deep learning, computer vision, optimization, trustworthy AI, and secure intelligent systems.
Strong programming skills, research curiosity, and a solid mathematical foundation are highly valued.