CV
Education
- Ph.D in Management Science and Engineering, Tianjin University, 2019-2023
- M.S. in Operations, Projects and Supply Chain, University of Manchester, 2017-2018
- B.S. in Supply Chain and Information Systems, Pennsylvania State University, 2013-2016
Work experience
- 2023-Present: Assistant Professor
- School of Management, Zhengzhou University
- Zhengzhou, China
- Responsibilities: Teaching, research in AI-human interaction and supply chain operations based on empirical methods
- School of Management, Zhengzhou University
Publications
- 2024: “The impacts of automation and augmentation AI use on physicians’ performance: an ambidextrous perspective”
- International Journal of Operations & Production Management
- 2023: “The impacts of the combination service model of cardiac rehabilitation on patient outcomes: evidence from a hospital experience”
- Biotechnology and Genetic Engineering Reviews
- 2023: “The impact of supply chain specific investments on firms’ market performance: the mediating role of innovation”
- Journal of Business & Industrial Marketing
- 2024: “基于数字技术的医疗管理文献回顾与展望”
- 工程管理科技前沿
Teaching
- 2024 Spring: Academic Writing
- Graduate Course, Zhengzhou University, School of Management
- Location: Zhengzhou, China
- [Course Link] (https://isenguo.github.io/teaching/2024-spring-academic-writing)
Awards
- Fermat Contest top 25%, University of Waterloo, 2012
- Euclid Contest top 25%, University of Waterloo, 2013
Service and leadership
- Actively engaged in various academic collaborations and projects
- Mentor to graduate students in management and operations research fields
- Regular participant in international academic conferences
Skills
- Technical Skills
- Python (60%)
- RStudio (40%)
- PyTorch (40%)
- Languages
- Mandarin (100%)
- English (90%)
- Korean (25%)
- Hobbies
- Movies (80%)
- Dogs (100%)
- Tennis (50%)
This CV outlines my academic and professional journey as an Assistant Professor at Zhengzhou University, specializing in AI-human interaction and supply chain operations. I am passionate about combining empirical research methods with innovative teaching to advance the field of management science.
