I am a second-year Ph.D. student at the University of Michigan Industrial & Operations Engineering (IOE), advised by Dr. Raed Al Kontar. My research interest lies broadly in Bayesian methods, optimization, statistical learning, and their applications.

Publications

Chen, Q., Kontar, R., Nouiehed, M., Yang, X., and Lester, C. (2024) “Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation”, INFORMS Journal on Data Science (IJDS)

Zheng, Y., Rowell, B., Chen, Q., Kim, J., Kontar, R., Yang, X., Lester, C., (2023) “Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists,” JMIR Form Res

Submitted Manuscripts

Chen, Q., Kontar, R., Jiang, L., and Qin, H. “Collaborative Bayesian Optimization via Constrained Gaussian Processes” (revision submitted to Technometrics)

Chen, Q., Kontar, R., “Plan More and Travel Less: A Bayesian Optimization Framework with Metric Movement Costs” (anonymously submitted to a conference)

Education

University of Michigan, Ann Arbor, MI

Ph.D. Student in Operations Research (Advisor: Dr. Raed Al Kontar)

M.S.E. in Industrial & Operations Engineering

M.A. in Applied Economics

University of Pittsburgh, Pittsburgh, PA

B.S. in Industrial Engineering, minor in Economics

Sichuan University

B.E. in Industrial Engineering

Services

• Student Organizing Committee for Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) 2024 

• Graduate student instructor (GSI) for IOE 265 at UM.

• Journal Referee for

  • Institute of Industrial and Systems Engineers (IISE) Transactions

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)