Xiaolei Fang

Industrial and Systems Engineering


Research Interests

Fang’s research interests lie in the field of industrial data analytics for High-Dimensional and Big Data applications in the energy, manufacturing and service sectors. Specifically, he focuses on addressing analytical, computational, and scalability challenges associated with the development of statistical and optimization methodologies for analyzing massive amounts of complex data structures for real-time asset management and optimization.

  • Data Science
  • Machine Learning
  • Artificial Intelligence


  • Condition Monitoring
  • Anomalies Detection
  • Fault Root-Cause Diagnostics
  • Degradation Modeling and Failure Time Prognostics
  • System Performance Assessment, Optimization, Decision-making, and Control



Ph.D.Industrial EngineeringGeorgia Institute of Technology2014-2018
MSStatisticsGeorgia Institute of Technology2014-2016
BSMechanical EngineeringUniversity of Science and Technology Beijing2004-2008

Honors and Awards

  • 2019 | Winner, Sigma Xi Best Ph.D. Thesis Award, Georgia Institute of Technology
  • 2018 | Winner, Alice and John Jarvis Ph.D. Student Research Award, H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology
  • 2017 | Feature Article in ISE Magazine
  • 2016 | Finalist, QSR Best Refereed Paper Award, INFORMS
  • 2016 | Winner, SAS Data Mining Best Paper Award, INFORMS


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Xiaolei Fang