معرفی
Dr. Kedai Cheng serves as Assistant Professor of Mathematics at the University of North Carolina at Asheville, specializing in statistical methodology development with cross-disciplinary applications. His academic journey spans dual undergraduate degrees through doctoral training at major research institutions.
His educational background includes:
- B.A. Economics (2013), Indiana University Bloomington
- B.S. Mathematics (2013), Indiana University Bloomington
- M.S. Economics (2015), Indiana University Bloomington
- M.S. Statistics (2017), University of Kentucky
- Ph.D. Statistics (2020), University of Kentucky
Dr. Cheng's research portfolio emphasizes practical statistical innovation, with core expertise in:
- Time Series Analysis and Autoregressive Modeling
- Nonparametric Statistical Methods
- Tolerance Regions for Quality Control
- Machine Learning Algorithm Integration
- Healthcare Operations Applications
While his documented publication record centers on 2020 tolerance interval research for hospital waiting lists, this represents a methodological foundation likely expanding into broader machine learning applications and multidisciplinary collaborations as his career progresses.
No scientific awards are documented in the current profile.
Dr. Cheng actively mentors students through diverse teaching responsibilities spanning introductory statistical reasoning to advanced graduate courses in Regression, Nonparametric Statistics, and Statistical Quality Control. His graduate-level instruction indicates capacity for supervising master's research despite no current advisees being listed.
Though no formal lab structure is mentioned, his research focus suggests collaborative work with industry partners in quality control and healthcare operations through applied statistical projects.
