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Ziming Liu

Ziming Liu

Chao Lan

Assistant Professor

Email: ziming.liu-1@ou.edu
Office: Sarkeys Energy Center 1170
Website: 
https://superspark1.github.io/zliu56.github.io/

Education
Ph.D., Mechanical Engineering 
University of Tennessee, Knoxville
M.S., Computer Science
University of Tennessee, Knoxville 
B.S., Mechanical Engineering 
Lipscomb University

Bio
Dr. Ziming Liu is currently an assistant professor in the School of Computer Science at the University of Oklahoma. His research focuses on engineering adaptive and trustworthy AI systems for mental healthcare, integrating multi-modal AI models, psychological theories, and clinical insights to develop personalized diagnostic, rehabilitation, and intervention solutions. His work is particularly dedicated to enhancing the trustworthiness of healthcare AI for Alzheimer’s disease and other cognitive disorders. Dr. Liu’s interdisciplinary expertise spans AI, healthcare, neuroscience, and human-machine collaboration, advancing scalable, personalized, and explainable AI-driven mental healthcare solutions. 

Research Focus

  • Human-Centered AI
  • AI for Health and Well-Being
  • Brain–Computer Interaction and Cognitive Technologies
  • Intelligent Systems for Healthcare Management
  • Multimodal AI for Healthcare

Experience

  • Assistant Professor, School of Computer Science, University of Oklahoma
  • Postdoctoral Research Fellow, Brigham and Women’s Hospital & Harvard Medical School 

Selected Publications

  • Liu, Z., Paek, E. J., Yoon, S. O., Casenhiser, D., Zhou, W., & Zhao, X. (2022). Detecting Alzheimer’s Disease Using Natural Language Processing of Referential Communication Task Transcripts. Journal of Alzheimer's Disease.
  • Liu, Z., Liu, L., Heidel, R., & Zhao, X. Explainable AI and Transformer Models: Unraveling the Nutritional Influences on Alzheimer’s Disease Mortality. Connected Health: Applications, Systems and Engineering Technologies (CHASE 2024).
  • Liu, Z., Garg, M., Fu, S., Sarkar, S., Vassilaki, M., Peterson, R., Sauver., J., & Sohn, S., Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023).
  • Liu, Z., Collier, P., Paek, E. J., Casenhiser, D., Zhou, W., & Zhao, X. Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind. 14th International Conference on Social Robotics (ICSR 2022).
  • Liu, Z., Collier, P., Paek, E. J., Yoon, S. O., Casenhiser, D., Zhou, W., Simpson, S., & Zhao, X. Estimating Human Attitude during Robot-mediated Referential Communication Tasks. In 2022 IEEE/ACM Conference on Connected Health Applications, Systems, and Engineering Technologies (IEEE/ACM CHASE 2022).
  • Liu, Z., Shore, J., Wang, M., Yuan, F., Buss, A., & Zhao, X. (2021). A systematic review on hybrid EEG/fNIRS in brain-computer interface. Biomedical Signal Processing and Control68, 102595