Meiyi Ma

Assistant Professor
Computer Science
Vanderbilt University
Office: 401E, 1025 16th Ave S, Nashville, TN 37212
Email: meiyi.ma AT vanderbilt.edu








I am an Assistant Professor in the Department of Computer Science and the Institute for Software Integrated Systems at Vanderbilt University. I received my Ph.D. under Professor John A. Stankovic and Professor Lu Feng from the University of Virginia. My research is at the intersection of Machine learning, Formal Methods, and Cyber-Physical Systems. Specifically, I develop rigorous and explainable AI by integrating Formal Methods with Machine Learning, aiming to create AI-powered safe, reliable and trustworhty societal-scale integrated Cyber-Physical Systems, especially in the areas of Emergency Response, Public Safety, Smart Cities and Healthcare.
I have been fortunate to receive several awards in the past, including NSF CAREER Award, Google Academic Research Award, Best Paper Award and Best Artifact Award in ACM ICCPS, Rising Stars in EECS, VUSE Community Impact Research Award, among others.


Recent Activities:

Recent News:
  • [Award] Oct. 2024. I've received Google Academic Research Award.
  • [Media] Oct. 2024. Nashville Government has a media release on our NSF grant.
  • [Award] Sep. 2024. I've received an NSF grant on "ReDDDoT Phase 1: Planning Grant: Towards Responsible Design, Development, and Deployment of a GenAI-enabled System for Dispatcher Training in Emergency Response" as the lead PI. It is a collaboration with Metro Nashville Government Department of Emergency Communication.
  • [Award] Sep. 2024. I've received an IES grant on "GenAI Empowered National Initiative for Upholding STEM+C Education (Genius)" as a co-PI.
  • [Award] Sep. 2024. I've received a TNGO grant on "AI driven route generation and alert notification system for school districts " as a co-PI.
  • [Award] Aug. 2024. I've received an NSF grant on "CIVIC-PG Track B: Data-Driven Monitoring and Optimizing of Right-of-Way Permits " as a co-PI.
  • [Publication] Jul. 2024. Our paper "Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic" has been accepted for publication at Proceedings of the 27th European Conference on Artificial Intelligence (ECAI).
  • [Award] Jul. 2024. I've received an NSF grant on "MOMENTS: An event-based system to support self- regulation during simulation learning" as a co-PI.
  • [Award] Jun. 2024. I've received the Best Service Award from the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
  • [Award] Jun. 2024. I've received the VUSE Community Impact Research Award.
  • [Service] May. 2024. I am serving as the Diversity, Equity and Inclusion Director of ACM SIGBED.
  • [Service] May. 2024. I am serving as the Associated Editor for ACM Transactions on Computing for Healthcare.
  • [Award] May. 2024. I've received Vanderbilt University Community Collaboration Fund.
  • [Award] Apr. 2024. I've received Vanderbilt University Generative AI Seed Grant.
  • [Publication] Jan. 2024. Our paper "MicroXercise: A Micro-Level Comparative and Explainable System for Remote Physical Therapy" has been accepted for publication at The IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
  • [Publication] Jan. 2024. Our paper "Formal Logic Enabled Personalized Federated Learning through Property Inference" has been accepted for publication at Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) as an oral presentation.
  • [Publication] Jan. 2024. Our paper "Auto311: A Confidence-Guided Automated System for Non-emergency Calls" has been accepted for publication at Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
  • [More News ... ]