Ziyan An
Vanderbilt University Institute for Software Integrated Systems. 1025 16th Ave S, Nashville, TN 37212
(863) 303-2399
ziyan DOT an AT vanderbilt DOT edu
I am a second-year Ph.D. student in Computer Science at Vanderbilt University, where I have been awarded the Dean’s Graduate Fellowship. I am very fortunate to have the guidance and mentorship of Dr. Meiyi Ma as my advisor.
My primary research interest lies in the design of AI-based systems that seamlessly integrate formal specifications and leverage prior knowledge. By combining these elements, I aim to develop advanced AI solutions that are more robust, reliable, and capable of addressing real-world challenges effectively.
Prior to joining Vanderbilt University, I earned my B.S. in Computer Science from New York University. During my academic journey, I had the invaluable opportunity to intern at Sunthetics as a Machine Learning software engineer, where I worked under the guidance of Dr. Daniela Blanco. Additionally, I served as a research assistant in the computer vision domain at AI4CE Lab of NYU, under the mentorship of Prof. Chen Feng.
Publications
- V2X-SimV2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous drivingIEEE Robotics and Automation Letters 2022
- V2X-SimV2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous DrivingarXiv preprint arXiv:2202.08449 2022
- FairguardFairguard: Harness Logic-based Fairness Rules in Smart CitiesIn IoTDI ’23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation 2023
- FedSTLGuiding Federated Learning with Inferenced Formal Logic PropertiesIn Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023) 2023
- MARLMulti-Agent Reinforcement Learning Guided by Signal Temporal Logic SpecificationsarXiv preprint arXiv:2306.06808 2023
- Spec4VideoRuntime Monitoring of Accidents in Driving Recordings with Multi-Type Logic in Empirical ModelsTo appear 2023