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Xiaowei Yue

Assistant Professor

Xiaowei Yue

Yue
Xiaowei Yue
113 Durham Hall
(MC 0118)
1145 Perry Street
Blacksburg, VA 24061

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Research Areas

  • Engineering-driven data mining and analytics for complex systems
  • Surrogate modeling, uncertainty quantification and optimization of Engineering Systems
  • Computational algorithms and information fusion for high-volume/ high-velocity data-intensive systems
  • Predictive modeling, system informatics and automation
  • Ph.D. Industrial Engineering (Minor: Machine Learning), Georgia Institute of Technology, August 2018
  • M.S. Statistics, Georgia Institute of Technology, August 2016
  • M.S. Power Engineering and Thermophysics, Tsinghua University, June 2013
  • B.S. Mechanical Engineering, Beijing Institute of Technology, June 2011 
  • Assistant Professor, Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, August 2018 - Present
  • Graduate Student Instructor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, January - August 2018
  • Graduate Research/Teaching Assistant, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, August 2013 - December 2017
  • American Statistical Association (ASA)
  • American Society of Mechanical Engineering (ASME) 
  • Institute of Electrical and Electronics Engineers (IEEE) 
  • Institute of Industrial and Systems Engineers (IISE) 
  • Institute for Operation Research and the Management Sciences (INFORMS) 
  • Mary G. and Joseph Natrella Scholarship, American Statistical Association, 2018
  • Alice and John Jarvis, Ph.D. Student Research Award, Honorable Mention, Georgia Tech, 2018
  • IEEE Transactions on Automation Science and Engineering Best Paper Award, IEEE Robotics & Automation Society, 2018
  • IISE Outstanding Graduate Award, Georgia Tech, 2017
  • INFORMS Data Mining Best Paper Finalist Award, 2017
  • INFORMS Quality, Statistics and Reliability (QSR) Best Refereed Paper Finalist Award, 2017
  • INFORMS 2017 Best Poster Presentation Award, 2017