Wayne State University · Computer Science

Building AI
worthy of trust.

We develop machine learning that is safe, private, fair, and explainable. Our applications advance science and serve society.

Our focus

Foundations.
With real-world impact.

We connect reliable AI with better healthcare, accessibility, and everyday decisions.

Led by Professor Dongxiao Zhu, we study robustness, fairness, explainability, security, and privacy across language, vision, and health applications.

Research directions

Safety, security, and unlearning for large language models.

Vision and language for grounded reasoning and accessible navigation.

Medical imaging, connected health, and fair decision support.

From the lab

Jun 2026Funding recommendation

An NSF proposal led by Sooin Kim, with Thomas Pedroni and Dongxiao Zhu, was recommended for funding to support student veterans in engineering.

Apr 2026Grant announcement

Our project on safety-aware post-training for large reasoning models received support from the NSF-led National AI Research Resource pilot.

Feb 2026Paper acceptance

Ujunwa Mgboh’s first-authored paper develops transformer-based fluence map prediction for radiotherapy planning.

Feb 2026Paper acceptance

Rafi Ibn Sultan’s first-authored paper combines vision, language, depth, and segmentation to support pedestrian navigation.

Recent work

Medical Physics2026

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