Recent News

2025

• [08/18/2025] Thrilled to announce a new NSF award (Award ID 2520496, $211,976) for collaborative research on Responsible AI in data-intensive educational research with Temple University and University of Utah!
• [07/14/2025] Honored to receive the Best Paper Award for "Causally Fair Node Classification on Non-IID Graph Data" at the 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (co-located with ACM SIGKDD'25).
• [01/07/2025] Awarded two NSF National AI Research Resource (NAIRR) Pilot awards to support research and education in trustworthy AI. NAIRR Pilot.
• [01/05/2025] Secured a research grant (federal $176k; cost-share $177k) from DOT TraCR Center to advance research in AI Fairness and Security for transportation systems.

2024

• [09/01/2024] Received a research grant ($758k) from VIPR-GS Research Center to develop Hyperspectral AI technologies for next-generation autonomous off-road vehicles!
• [05/15/2024] Awarded a research grant ($60k) from South Carolina EPSCoR to advance Causal and Trustworthy AI applications in precision healthcare and medical decision-making!

2023

• [07/12/2023] Published a paper titled "AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab," accepted by the 2023 IEEE ASEE Frontiers in Education Conference.
• [06/13/2023] Invited as a postsecondary expert to support SC K12 teachers in incorporating AI into their classrooms.
• [04/07/2023] Two papers on causality and fairness accepted by IJCNN 2023.
• [03/10/2023] Project "Detecting and mitigating AI bias in automated medical diagnosis" funded by Prisma Health Seed program.
• [02/22/2023] Paper "Achieving Counterfactual Fairness for Anomaly Detection" accepted by PAKDD 2023.

2022

• [11/15/2022] Two papers on causality and fairness accepted by IEEE Big Data Conference.

Earlier Highlights

• [05/27/2021] Collaborative project "Learning Platform and Education Curriculum for Artificial Intelligence-Driven Socially-Relevant Cybersecurity" funded by NSF SaTC-Edu program.
• [12/02/2020] Paper "A Generative Adversarial Framework for Bounding Confounded Causal Effects" accepted by AAAI 2021.
• [09/25/2020] Paper "Fair Multiple Decision Making through Soft Interventions" accepted by NeurIPS 2020.
• [07/17/2020] Co-taught a fairness course at NSF Track 2 CRESH: Summer School on AI & Smart Health.
• [04/17/2020] Successfully defended Ph.D. dissertation!
• [04/06/2020] Accepted Assistant Professor offer at Clemson University, starting August 2020.
• [09/03/2019] Paper "PC-Fairness: A Unified Framework for Measuring Causality-based Fairness" accepted for poster presentation at NeurIPS 2019.
• [05/10/2019] Two papers accepted by IJCAI 2019:
• "Achieving Causal Fairness through Generative Adversarial Networks."
• "Counterfactual Fairness: Unidentification, Bound and Algorithm."