Xin Zan

Assistant Professor, Industrial and Systems Engineering
Biography

I am a tenure-track assistant professor in the Department of Industrial and Systems Engineering at the University of Iowa.

I am currently seeking for self-motivated PhD student who is passionate about applied statistics, data science, and artificial intelligence. Ideal candidate should have background in engineering, statistics, mathematics and/or strong programming skills in at least one programming language (Python, R, or Matlab is preferred).

One fully-funded position is currently open. If interested, please email your detailed CV, (unofficial) transcripts, and research interests to xin-zan@uiowa.edu. The position remains open until filled.

Contact:  xin-zan@uiowa.edu [LinkedIn]

CV and publications: Xin Zan CV

Joined the College of Engineering: Fall 2024

Research interests: 

My research interests are focused on developing novel advanced data-driven analytics methodologies for complex system modeling, monitoring, and diagnosis, with applications in healthcare, manufacturing, service, etc. 

  • Statistical and machine learning with weak supervision
  • Knowledge-enhanced deep learning
  • Spatial temporal analysis and modeling
  • Causal analysis and inference
  • Health informatics and healthcare systems engineering
Engineering Unit(s)
  • Industrial and Systems Engineering
Xin Zan's photo
Education
PhD, Industrial and Systems Engineering, University of Florida, 2024
MS, Statistics, University of Florida, 2022
BS, Industrial Engineering (with honors), Shanghai Jiao Tong University, China, 2019