Expertise:
Big Data Security & Privacy, AI Applications in Medical Systems, Artificial Intelligence Research, Privacy Preservation, Security Extensions on Mobility ScootersTingting Chen specializes in big data security, data privacy, health informatics and AI applications in medical systems. Past work has included mobile payments in global networks, privacy preservation in the aggregation of data, and data privacy and accuracy in digitized medical records.
In the last few years, Chen has focused on improving the safety of mobility scooters for people with disabilities and ways to enhance the security and privacy features of those scooters. She and her team recently developed ScooterID, the first framework authenticating rider posture data from cameras on mobility scooters enhancing user/rider safety. Current one-time authentication methods fail to provide user comfort, have high deployment costs and have failed to provide protection against the rising number of scooter thefts. The continuous authentication method of ScooterID would replace the use of physical keys and traditional password one-time security methods, providing easier access for senior citizens with issues with memory recall, issuing a seamless authentication approach against takeovers of unauthorized user access.
Building on that project, Chen’s research team is building a driving safety assessment system that can be used in home or clinical settings to assist doctors and rehabilitation experts.
Chen is also the founder of the award-winning non-profit Code the Spectrum; a non-profit organization focused on providing technical training for neurodivergent people and connecting them to information technology-related job opportunities.
Recent Grants and Fellowships:
- National Science Foundation, Collaborative Research: “Computer Information and Science Engineering-MSI: DP: Computer and Network Systems: Multi-Modal User-Centric Mobility Scooter Driving Safety Assessment System,” $474,229 (2023-2026)
- Co-PI, Computing Alliance of Hispanic-Serving Institution- Google Institutional Research Program Award, “Adversarial Robustness Auditing for Lightweight Mobility Scooter Rider Evaluation Systems,” $80,000 (2025-2026)
- Co-PI, California Education Learning Lab, “Greater LA Data Science Pathways,” (GLADS-PATH), $1,275,000, (2023-2027)
- Google Research Explore Computer Science Research, “Explore Data Science and Artificial Intelligence Research Pathways, $39,000 (2022-2023) & $18,000 (2023-2024)
- National Science Foundation Computer and Network Systems, Research Experience for Undergraduates Site: Undergraduate Research Experience in Big Data Security and Privacy, $434,930 (supplement of $30,000 in 2021) (2021-2024)
- Co-PI, U.S. Department of Education Title III, Hispanic Serving Institution Science, Technology, Engineering and Math Program, “STARS: Student Success and Transfer Articulation through Research and Support Services—An HSI STEM Transformation Project,” $4,950,000 (2021-2026)
Selected Publications:
- With T. Bergo, J. Dang, M. Rogers, A. Jara, N. Raheja, N. Fullmer and E. Rosario, “Developing AID-PMDA: an AI-driven Power-Mobility Driving Assessment System,” Proceedings of 2025 American Medical Informatics Association Annual Symposium, forthcoming November 2025
- With N. Loke and V.K. Bajpai, “CELS (Crystalline Encryption Layered Security): A Security Extension of Messaging Applications using Post-Quantum Cryptography,” Proceedings of Institute of Electrical and Electronics Engineers Silicon Valley Cybersecurity Conference, June 2025
- With D. Shah, R. Huang, N. Vinayaga-Sureshkanth and M. Jadliwala, “ScooterID: Posture-Based Continuous User Identification From Mobility Scooter Rides,” Institute of Electrical and Electronics Engineers Transactions on Mobile Computing, vol. 24, no. 2, pp. 970-984, February 2025
- With J. Chung and C. Zhang, “Mobility Scooter Riding Behavior Stability Analysis Based on Multimodal Contrastive Learning,” Proceedings of Institute of Electrical and Electronic Engineers International Conference on Big Data, December 2024
- With T.D. Nguyen, C. Zhang, M. Gitbumrungsin and A. Raheja, “Remote Kinematic Analysis for Mobility Scooter Riders Leveraging Edge AI,” Association for the Advancement of Artificial Intelligence 2024 Fall Symposium on Machine Intelligence for Equitable Global Health (MI4EGH), November 2024
- With C. Yau and C. Zhang, “A Machine Learning Powered Mobile Application for Mobility Scooter Driving Behavior Analysis,” Fourth Annual Computer Science Conference for CSU Graduates, April 2024
- With D. Shah, R. Huang and M. Jadliwala, “Rider Poster-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters,” Proceedings of the 38th Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence, February 2024
- With R. Huang and M. Jara, “Deep Learning based Driving Posture Stability Analysis for People with Mobility Challenges,” Institute of Electrical and Electronics Engineers International Conference on Big Data, Dec. 2023
- With M. Cruz, S. De Beleh, R. Janairo, Y. Zhao and I. Raheja, “Mobility Scooter User Driving Behavior Classification based on Deep Neural Networks,” 2022 Institute of Electrical and Electronics Engineers International Conference on Big Data, December 2022
- With S, Oslund, C. Washington, A. So and H. Ji, “Multiview Robust Adversarial Stickers for Arbitrary Objects in the Physical World,” Journal of Computational and Cognitive Engineering 1(4) 152-158, September 2022
Interviews:
- “NSF Grant Funds use of AI to Increase Mobility Scooter Safety,” College of Science News, Aug. 3, 2024
Education:
B.S., M.S., Computer Science and Engineering, Harbin Institute of Technology
Ph.D., Computer Science and Engineering, State University of New York at Buffalo
Languages:
English, Mandarin

