News

Aug 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!
Jul 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).
Jan 07, 2025 Awarded two NSF National AI Research Resource (NAIRR) Pilot awards to support research and education in trustworthy AI. See the complete NAIRR Pilot Award list.
Jan 05, 2025 Secured a research grant (federal \$176k; cost-share \$177k) from the DOT TraCR Center to advance research in AI Fairness and Security for transportation systems.
Sep 01, 2024 Received a research grant (\$758k) from the VIPR-GS Research Center to develop Hyperspectral AI technologies for next-generation autonomous off-road vehicles!
May 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!
Jul 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.
Jun 13, 2023 Invited as a postsecondary expert to support SC K-12 teachers in incorporating AI into their classrooms.
Apr 07, 2023 Two papers on causality and fairness accepted by IJCNN 2023.
Mar 10, 2023 Project “Detecting and mitigating AI bias in automated medical diagnosis” funded by the Prisma Health Seed program.
Feb 22, 2023 Paper “Achieving Counterfactual Fairness for Anomaly Detection” accepted by PAKDD 2023.
Nov 15, 2022 Two papers on causality and fairness accepted by the IEEE Big Data Conference.
May 27, 2021 Collaborative project “Learning Platform and Education Curriculum for Artificial Intelligence-Driven Socially-Relevant Cybersecurity” funded by the NSF SaTC-Edu program.
Dec 02, 2020 Paper “A Generative Adversarial Framework for Bounding Confounded Causal Effects” accepted by AAAI 2021.
Sep 25, 2020 Paper “Fair Multiple Decision Making through Soft Interventions” accepted by NeurIPS 2020.
Jul 17, 2020 Co-taught a fairness course at NSF Track 2 CRESH: Summer School on AI & Smart Health.
Apr 17, 2020 Successfully defended Ph.D. dissertation!
Apr 06, 2020 Accepted an Assistant Professor offer at Clemson University, starting August 2020.
Sep 03, 2019 Paper “PC-Fairness: A Unified Framework for Measuring Causality-based Fairness” accepted for poster presentation at NeurIPS 2019.
May 10, 2019 Two papers accepted by IJCAI 2019:
  • “Achieving Causal Fairness through Generative Adversarial Networks.”
  • “Counterfactual Fairness: Unidentification, Bound and Algorithm.”