Keyuan Jiang, Ph.D.

Department Chair, Computer Information Technology and Graphics

Professor of Computer Information Technology

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Keyuan Jiang is a professor of computer information technology and Chair of Department of Computer Information Technology and Graphics.

Research Overview

Keyuan Jiang’s research expands from medical/health/clinical informatics, artificial intelligence in medicine, to healthcare information technology. His research was funded by the National Institutes of Health. He has published in high profile journals and conferences in the areas of medical informatics, biomedical engineering, artificial intelligence and computational linguistics.

Select Publications

Jiang, K., Feng, S., Calix, R. A., & Bernard, G. R. (2019). Assessment of word embedding techniques for identification of personal experience tweets pertaining to medication uses. In International Workshop on Health Intelligence (W3PHIAI 2019), a workshop of the 31st AAAI Conference on Artificial Intelligence (AAAI-19) (pp. 45-55).

Jiang, K., Feng, S., Li, J., Song, Q., Calix, R.A., & Gupta, M. (2018). Identifying personal health experience tweets with word embedding and LSTM neural network. BMC Bioinformatics 2018, 19(Suppl 8):210.

Jiang, K., Chen, T., Huang, L., Calix, R.A., & Bernard, G.R. (2018). A data-driven method of discovering misspellings of medication names on Twitter. Medical Informatics Europe (MIE 2018), April, 2018, pp.136 – 140.

jiang headshot


(219) 989-2498

Office Location:

Hammond, Anderson Building 145A


  • Ph.D. – Biomedical Engineering, Vanderbilt University
  • M.S. – Biomedical Engineering, Shanghai Jiao Tong University
  • B.Eng. – Computer Science, Southeast University, China

Areas of Expertise

  • Medical/Health/Clinical Informatics
  • Artificial Intelligence in Medicine
  • Social Media Mining
  • Natural Language Processing
  • Machine Learning

Credentials, Accreditations & Awards

  • IEEE Senior Member (Computer Society and Engineering in Biology and Medicine Society)
  • ACM Member