Trustworthy AI and Social Justice

Research focus

Design reliable, explainable, and fair AI for cyber-physical and public-interest systems. Validate with human-in-the-loop evaluation and digital twins.

Thrusts

• Robustness, privacy, explainability; federated/secure learning
• Digital twins for power grids and autonomous systems

Socio-technical fairness frameworks and policy impact

Facilities and collaboration

CREDIT AI/ML resources, Smart Grid Testbed, data science clusters; partnerships with social sciences and justice studies.

Ideal candidate

CS/EE/data-centric background with applied ethics interest; comfort with evaluation, benchmarking, and deployment.

Expected outcomes

Methods + benchmarks, deployable tools, external proposals, student mentoring, and public-interest collaborations.