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Assistant Professor at University of Iowa
I am an assistant professor in the Department of Industrial and Systems Engineering at the University of Iowa.
I am currently seeking for self-motivated Ph.D. students who are passionate about applied statistics, data science, and artificial intelligence. Ideal candidates should have background in engineering, statistics, mathematics and/or strong programming skills in at least one programming language (Python, R, or Matlab is preferred).
Fully-funded positions are open and expected to begin in Spring 2025/Fall 2025. If interested, please email your detailed CV, (unofficial) transcripts, and research interests to xin-zan@uiowa.edu. The positions remain open until filled.
Contact: xin-zan@uiowa.edu [Google Scholar] [CV] (last updated: Aug, 2024)
Education
Education
Ph.D. Industrial and Systems Engineering, University of Florida, 2024
M.S. Statistics, University of Florida, 2022
B.S. Industrial Engineering, Shanghai Jiao Tong University, China, 2019
Research Interests
Research Interests
My research interests are focused on weakly supervised learning to systematically develop novel advanced data-driven analytics methodologies for complex system modeling, monitoring, and diagnosis, with applications in healthcare, manufacturing, service, etc. Specifically, my research aims to leverage domain knowledge to exploit the inherent or imposed structures within data for effectively transforming complex and imperfect data into valuable and actionable insights that support intelligent decision-making to improve system performance. My current research primarily focuses on healthcare applications, including public health surveillance for monitoring infectious diseases and disease diagnosis of sleep disorders.
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
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