Xiaolei Fang
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Xiaolei Fang

Xiaolei Fang  

Dr. Fang has transitioned from academia to industry.

Associate Professor
Edward P. Fitts Department of Industrial and Systems Engineering
North Carolina State University

Address: 4177 Fitts-Woolard Hall, 915 Partners Way, Raleigh, NC 27607
Tel: (919) 515-0312
Email: xfang8@ncsu.edu

Research Interests

Dr. Fang’s research focuses on developing statistical learning, machine learning, deep learning, federated learning, generative AI, and optimization methods for analyzing high-dimensional and large-scale industrial data. His work addresses analytical, computational, and scalability challenges in real-time forecasting, decision-making, and system optimization.

His research applications span the manufacturing, energy, and service sectors, with emphasis on condition monitoring, anomaly detection, fault root-cause diagnosis, degradation modeling, failure-time prognostics, and system performance assessment, optimization, and control.

Academic Employment

  • 2024–2025, Associate Professor (Tenured), Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC

  • 2018–2024, Assistant Professor (Tenure Track), Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Raleigh, NC

Education

  • Georgia Institute of Technology, Atlanta, Georgia

    • Ph.D. in Industrial Engineering

      • Minor: Machine Learning

      • Dissertation title: Predictive Analytics for Complex Engineering Systems Using High-Dimensional Signals

    • M.S. in Statistics

  • University of Science and Technology Beijing, China

    • B.S. in Mechanical Engineering

Service

Honors and Awards

  • Finalist, QCRE Best Paper Award, Quality Control & Reliability Engineering (QCRE) Division of IISE, 2026 (Student: Donghyun Ko)

  • ISE Outstanding Research Award, Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, 2024

  • Finalist, QSR Best Student Paper Award, Quality, Statistics, and Reliability (QSR) Section of INFORMS, 2022 (Student: Chengyu Zhou)

  • Feature Article in ISE Magazine, 2021

  • Winner, QCRE Best Student Paper Award, Quality Control & Reliability Engineering (QCRE) Division of IISE, 2020 (Student: Cheoljoon Jeong)

  • Winner, Sigma Xi Best Ph.D. Thesis Award, Georgia Institute of Technology, 2019

  • Winner, Alice and John Jarvis Ph.D. Student Research Award, H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of Technology, 2018 (Awarded to one Ph.D. student in ISyE per year for outstanding research achievements)

  • Feature Article in ISE Magazine, 2017

  • Finalist, Best Student Paper Award, INFORMS Workshop on Data Mining & Decision Analytics, 2017

  • Winner, SAS Data Mining Best Paper Award, Data Mining Section of INFORMS, 2016

  • Finalist, QSR Best Refereed Paper Award, Quality, Statistics, and Reliability Section of INFORMS, 2016

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