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EE 396

Robust and Trustworthy AI Systems


Advisor:   Liuwan Zhu | liuwan@hawaii.edu

Prerequisites:  

Courses:  ECE396 & ECE496

Focus:   O (Oral) W (Writing)

Description:  

As Artificial Intelligence (AI) becomes increasingly embedded in critical sectors such as healthcare, finance, and transportation, ensuring its reliability and trustworthiness is crucial. This project explores key challenges in building trustworthy AI systems, with a focus on fairness, transparency, robustness, and privacy. Students will study machine learning fundamentals, large language models, and develop toolsets to support secure and reliable AI applications.


Key elements: Machine Learning, Neural Network, LLM, Security, Python


Requirements:

  • Has some knowledge of machine learning

  • Familiar with Python programming


Advisors: Liuwan Zhu( liuwan@hawaii.edu) and Hanqing Guo (guohanqi@hawaii.edu )

Sponsors and Partners: NSF


Apply: If you are a new student interested in the project, please fill out the following Google Form,    and email Dr. Zhu.

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