Research Projects
Our research aims to enable trustworthy AI to benefit clinical applications, especially in personal health informatics and personalized medicine. Explore our initiatives below.
Active Research
Remote Assessment
Mobility Scooter Project
Developing and validating a multimodal computational measurement framework of upper-body movement during powered mobility for people with neurological conditions.
Publications
- • 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.
- • 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.
- • 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.
- • 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.
- • 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.
- • 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.
- • 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.
Active Research
Recent Publications
- • Oslund, C. Washington, A. So, T. Chen, H. Ji, Multiview Robust Adversarial Stickers for Arbitrary Objects in the Physical World. Journal of Computational and Cognitive Engineering, 1(4), 152-158, 2022.
- • Yao, T. Chen, H. Ji, Multiview-Robust 3D Adversarial Examples of Real-world Objects, CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision (poster), June, 2020.
- • Yao, T. Chen, H. Ji, On Multiview Robustness of 3D Adversarial Attacks, in proceeding of ACM PEARC 2020, Practice & Experience in Advanced Research Computing, July, 2020.
- • Rothberg, T. Chen, L. Jie, J. Hao, Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification, 1st Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, co-located with KDD 2019, Anchorage, Alaska, Aug. 2019.
- • E. Rothberg, T. Chen, J. Hao, Towards Better Accuracy and Robustness with Localized Adversarial Training, in the proceeding of AAAI-19, student poster, Honolulu, Hawaii, Jan. 2019.
- • S. Oslund, C. Washington, A. So, T. Chen, H. Ji, Robust Adversarial Stickers for Arbitrary Objects in the Physical World, 4th workshop on Adversarial Learning Methods for Machine Learning and Data Mining, co-located with ACM KDD 2022, Aug. 2022.
- • C. Washington*, M. Wilder-Smith, T. Chen, H. Ji, Robust Localized Physical Attacks on Deep Learning Classifiers for Objects with Arbitrary Surface, 3rd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining, co-located with ACM KDD 2021, Aug. 2021.
Completed
Privacy
Privacy Preserving Machine Learning Algorithms for Genomic Data
Privacy preserving deep neural network emsemble using fully homomorphic cryptographic approach and statistical analysis based on GPU-accelerated encryption algorithms for genomic data.
Publications
- • A. Xiong, M. Nguyen, A. So and T. Chen, "Privacy Preserving Inference with Convolutional Neural Network Ensemble," in 2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC), Austin, TX, USA, 2020.
- • A. Poon, S. Jankly, T. Chen, Privacy Preserving Fisher's Exact Test on Genomic Data, 5th National Symposium for NSF REU Research in Data Science, Systems, and Security, collocated with 2018 IEEE Big Data, Seattle, Dec. 10th, 2018.
- • S. Jankly, A. Schmidt, T. Chen, Genomic Data Privacy Protection Based on GPU-Accelerated Encryption, 2018 American Medical Informatics Association (AMIA) Annual Symposium (poster), San Francisco, November 2018.
- • D. Pal, T. Chen, J. Thomas. Privacy Preserving Sequential Pattern Mining Across Multiple Medical Sites, in Proceedings of the 2015 American Medical Informatics Association (AMIA) Annual Symposium (poster), San Francisco, November 2015.