Publications

1. Bergo, T. Dang, J. Rogers, M. Jara, A. Raheja, N. Fullmer, E. Rosario, T. Chen, Developing AID-PMDA: an AI-driven Power-Mobility Driving Assessment System, in the proceedings of 2025 American Medical Informatics Association (AMIA) Annual Symposium (poster), Atlanta, GA, November, 2025.
2. J. Chung, C. Zhang, and T. Chen, "Mobility Scooter Riding Behavior Stability Analysis Based on Multimodal Contrastive Learning", in the proceedings of IEEE International Conference on Big Data (Big Data),  Washington DC, December, 2024.
3. D. Shah, R. Huang, N. Vinayaga-Sureshkanth, T. Chen and M. Jadliwala, “ScooterID: Posture-based Continuous User Identification from Mobility Scooter Rides”, in IEEE Transactions on Mobile Computing, 2024. DOI: 10.1109/TMC.2024.3473609.
4. T-D. Nguyen, C. Zhang, M. Gitbumrungsin, A. Raheja and T. Chen, “Remote Kinematic Analysis for Mobility Scooter Riders Leveraging Edge AI”, AAAI 2024 Fall Symposium on Machine Intelligence for Equitable Global Health (MI4EGH), Arlington, VA, November, 2024.
5. D. Shah, R. Huang, T. Chen, and M. Jadliwala , "Rider Posture-based Continuous Authentication with Few-Shot learning for Mobility Scooters", AAAI-24 Student Abstract and Poster, Vancouver, Canada, February 2024.
6. C. Yau, C. Zhang and T. Chen, “A Machine Learning Powered Mobile Application for Mobility Scooter Driving Behavior Analysis”, Fourth Annual Computer Science Conference for CSU Undergraduates, virtual, April 2024.
7. R. Huang, M. Jara, and T. Chen, "Deep Learning based Driving Posture Stability Analysis for People with Mobility Challenges", in the proceedings of IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December, 2023.