Research Lab Info

The HASH AI (Human-centered, Accessible, Safe AI with Health applications) Lab at the School of Engineering Medicine, Texas A&M University, led by Dr. Yanmin Gong, is dedicated to building safe, accessible, and human-centered AI systems that benefit people and society. Our research focuses on understanding and mitigating the risks of large language models and AI in high-stakes domains, ensuring that AI acts as intended, remains aligned with human values, and does no harm—particularly in health and clinical applications.

Funded Research Projects and Sponsors

We are grateful for funding from National Science Foundation, NIH, CISCO, Air Force Research Lab, Department of Defense, and University of Texas Systems.

Active Projects

  • Enhancing Equity in Opioid Medication Treatment: Confronting Disparities and Biases for Medicaid Beneficiaries with Responsive Machine Learning, NIH AIM-AHEAD, 09/17/2023 - 09/16/2025, Lead PI.

  • Across Hospitals and Devices: Collaborative Stroke Risk Prediction via Federated Learning, CISCO Research, 06/01/2023 - 05/31/2024, Sole PI.

  • CAREER: Ubiquitous and Time-Critical Federated Learning with Cooperative Mobile Edge Networking (project webpage), National Science Foundation, 10/01/2021 - 09/30/2026, Sole PI.

  • Collaborative Research: CNS Core: Medium: Towards Federated Learning over 5G Mobile Devices: High Efficiency, Low Latency, and Good Privacy, National Science Foundation, 10/01/2021 - 09/30/2025, Co-PI.

Completed Projects

  • CRII: NeTS: Embracing Dynamic Spectrum Sharing without Privacy Concerns (project webpage), National Science Foundation, 10/01/2019 - 09/30/2023, Sole PI.

  • GREAT: Regional Natural Hazard Risk Assessment Methodology toward Resilient 5G Telecommunication Infrastructure Deployment, the Office of the Vice President for Research, Economic Development, and Knowledge Enterprise (VPREDKE) at UTSA, 10/01/2021 - 07/31/2022, Co-PI.

  • A Flexible Testbed for Cyber Deception, Cyber Hardening, and Disinformation Research, Army Research Office, 07/01/2021 - 06/30/2022, Co-PI.

  • RAPID: Collaborative: Location Privacy Preserving COVID-19 Symptom Map Construction via Mobile Crowdsourcing for Proactive Constrained Resource Allocation (project webpage), National Science Foundation, 05/04/2020 - 05/03/2022, Co-PI.

  • Association of Cyber and Visual IDs of Drones with Backscatter Tags, Air Force Research Laboratory, 10/01/2019 - 01/01/2020, PI.

  • Secure Wireless Communication against Spoofing Attacks in UAV Systems, Air Force Research Laboratory, 05/15/2019 - 07/15/2019, PI.