Cheoljoon Jeong

Welcome to my website!

I am an Assistant Professor in Industrial Engineering at Clemson University.

My research interests lie at the intersection of industrial data science and nonlinear optimization, with a focus on addressing challenges in the energy and manufacturing sectors. Specifically, I have developed new digital twin calibration methodologies for energy systems, such as building energy and wind power systems, and advanced industrial data science methods for hybrid and smart manufacturing.

Previously, I earned my bachelor’s degree in Information and Industrial Engineering from Yonsei University, after which I worked as a credit data analyst at NICE Credit Bureau, where I helped launch a new business leveraging large-scale real estate data in Korea. Then I joined academia through a master’s program in Industrial and Systems Engineering at North Carolina State University, Raleigh, where I worked on data analytics projects to develop innovative quality fault diagnostic methods for multi-stage manufacturing systems. Subsequently, I moved to the University of Michigan, Ann Arbor, where I received my master’s degree in Statistics and my Ph.D. in Industrial and Operations Engineering. There, I conducted research on developing digital twin calibration methodologies for energy systems and completed my dissertation titled Digital Twin Calibration with Operational Data.

Throughout my academic journey, I have had the privilege of being selected as the Edward P. Fitts, Seth Bonder, and IES Graduate Fellow.

For prospective students: we are seeking highly motivated Ph.D. students with strong quantitative skills (e.g., statistics, applied mathematics) to work on cutting-edge research projects at the intersection of data science, applied statistics, AI, and nonlinear optimization, with applications to manufacturing, energy, and/or other engineering systems. If you are interested in joining our lab, please send your CV, transcripts, and a brief research statement to cjeong [at] clemson.edu with the subject line: “Prospective PhD: Your Name” (I apologize in advance for not replying to all emails).