معرفی
Introduction
Dr. Meiyi Ma is an Assistant Professor in the Department of Computer Science and the Institute for Software Integrated Systems at Vanderbilt University. Her research integrates machine learning and formal methods to build safe, reliable Cyber-Physical Systems (CPS), with applications in Smart Cities, Healthcare, and Emergency Response. She holds a PhD from the University of Virginia under Professors John A. Stankovic and Lu Feng.
Education
- PhD in Computer Science, University of Virginia
Research Interests
Dr. Ma’s work focuses on risk-aware AI systems, verified AI, and explainable machine learning. She develops solutions for safety-critical CPS in domains like urban infrastructure, healthcare, and emergency management. Key projects include:
- Formal methods for federated learning and unlearning attacks
- AI-driven systems for non-emergency call handling
- Runtime monitoring in smart cities using temporal logic
Award Highlights
- Google Academic Research Award (2024)
- NSF grants for GenAI in emergency response and STEM education (2024)
- Best Service Award at IEEE/ACM CHASE (2024)
- VUSE Community Impact Research Award (2024)
Grants & Advising
Dr. Ma leads NSF-funded projects on GenAI in dispatcher training and emergency response. She advises multiple PhD students, including Ziyan An (federated learning) and Hanchen Wang (remote physical therapy systems). Undergraduate researchers contribute to projects like AI route generation and safety monitoring.
Labs & Collaborations
Her lab collaborates with Metro Nashville Government on emergency response systems and Nashville Public Schools on AI-driven alert systems. Recent activities include organizing workshops on Future Technologies for Emergency Response and hosting industry visits to Vanderbilt’s CPS research facilities.
