Faculty

Ying Lin, Ph.D.

Associate Professor, Industrial and Systems Engineering Department, University of Houston.

  • Ph.D., Indusrial and Systems Engineering, University of Washington.

  • M.S., Industrial and Management Systems Engineering, University of South Florida.

  • B.S., School for Gifted Young (SGY), major in Statistics, University of Science and Technology of China, P. R. China.

Students

Current PhD Students

Muyun Lu, M.S.

  • Ph.D. Student, Industrial Engineering Department, University of Houston.
  • Proposal defense in May 2026.
  • Dissertation Topic: Optimizing Expensive Black-box Functions via Multi-fidelity and Self-evolving Bayesian Optimization

Kiran Adhikari, M.S.

  • Ph.D. Student, Industrial Engineering Department, University of Houston.
  • Dissertation Topic: Process-structure-property relationships modeling from autocorrelated functional curves

Yuhao Wu, M.S.

  • Ph.D. Student, Industrial Engineering Department, University of Houston.
  • Dissertation Topic: Real-time feedback control via reinforced LLM

Thamer Alnazzal, M.S.

  • Ph.D. Student, Industrial Engineering Department, University of Houston.
  • Dissertation Topic: Data-driven decision rules for personalized health management.

Yanlin Xiang, M.S.

  • Ph.D. Student, Industrial Engineering Department, University of Houston.
  • Co-advised with Qianmei (May) Feng.
  • Dissertation Topic: Machine learning-based Process Stability Modeling and Monitoring

Yanjie Yi, M.S.

  • Ph.D. Student, Industrial Engineering Department, University of Houston.
  • Co-advised with Zheyong Bian.
  • Dissertation Topic: Federated and Robust Online Learning Algorithms for Real-time Vehicle-passenger Matching

Graduated PhD Students

Shiva Afshar, Ph.D.

  • Data Scientist, Emory University School of Medicine
  • Graduated in May 2023.
  • Dissertation Topic: Deep Learning and Network-based Approaches to Fine-map Risk Genes at Single-cell Resolution

Mai Li, Ph.D.

  • Data Scientist, Precision Animal Health at Zoetis Inc.
  • Graduated in Fall 2024.
  • Dissertation Topic: Embedding-based Privacy-Preserving Models to Integrate Multisource Medical Data

Tanapol Kosolwattana, Ph.D.

  • Graduated in Spring 2025.
  • Dissertation Topic: Bandit-based Adaptive Monitoring for a Population of Dependent Systems

Undergraduate students

Chiwetalu Peter Odo (Deal Tech Associate at EY-Parthenon)

  • Industrial Engineering Department, University of Houston.
  • Thesis Topic: Data-driven Rules for Individualized Lifestyle Recommendations