Dr. Xiaowei Yue, Assistant Professor and Grado Early Career Faculty Fellow
Grado Department of Industrial & Systems Engineering
Virginia Polytechnic Institute and State University
Office: 113 Durham Hall (map)
Email: xwy [at] vt.edu
Phone: 540-231-9081, Fax: 540-231-3322
Mail: 250 Durham Hall (MC 0118)
1145 Perry Street, Blacksburg, VA 24061-1019
Links: Curriculum vitae, Google Scholar, ResearchGate
Dr. Xiaowei Yue is an assistant professor and Grado Early Career Faculty Fellow at Virginia Tech. He got a Ph.D. degree in Industrial Engineering from Georgia Tech. Dr. Yue’s research interests focus on engineering-driven data analytics for intelligent manufacturing. His research has obtained more than 15 best paper awards and two best dissertation awards. Dr. Yue is a recipient of multiple recognitions, such as Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award, SME Outstanding Young Manufacturing Engineer award, IISE Manufacturing & Design Outstanding Young Investigator Award, and Grainger Frontiers of Engineering Grant Award from the National Academy of Engineering. Dr. Yue serves as an associate editor for IISE Transactions, Journal of Intelligent Manufacturing, and IEEE Transactions on Neural Networks and Learning Systems. Dr. Yue serves as board director for the IISE DAIS division and QCRE division.
Ultra-high Precision Quality Control for Intelligent Manufacturing
Predictive Modeling, Uncertainty Quantification, System Optimization, Real-time Monitoring and Control of Engineering Systems
Machine Learning for System Intelligence
(Further details in the publications section)
Dr. Yue is selected to be the recipient of Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award in 2023.
Our research received the IISE Transactions Best Paper Award.
Ph.D. graduate Dr. Yinan Wang's dissertation won the IISE Pritsker Doctoral Dissertation Award (Second Place)
Our research received the 2022 Robert J. Lyman Award from PCI.
Ph.D. student Dr. Yinan Wang's dissertation won the ASME CIE Best Dissertation Award! Congratulations, Yinan.
Our paper "WOOD: Wasserstein-based Out-of-Distribution Detection" was selected as the winner of IISE Data Analytics and Information Systems (DAIS) Best Track Paper Award and the SPES + Q&P Best Student Paper Award from ASA. Congratulations, Yinan Wang!
Dr. Yue was selected to receive the M&D Outstanding Young Investigator Award from IISE Manufacturing and Design Division. This award recognizes one outstanding early-career Manufacturing and Design (M&D) Division member for the technical contribution to manufacturing and design every year.
My Ph.D. students Dr. Areej AlBahar and Dr. Yinan Wang have passed the defenses and graduated in Spring 2022. Dr. AlBahar will join the Kuwait University as a tenure-track assistant professor, and Dr. Yinan Wang will join the Rensselaer Polytechnic Institute as a tenure-track assistant professor in Fall 2022. Congratulations!
Dr. Yue was selected to receive the prestigious 2022 Grainger Foundation Frontiers of Engineering Grant Award from the National Academy of Engineering (NAE). This news was highlighted in the NAE's Spotlight Newsletter in April 2022.
Dr. Yue was selected to receive the 2022 Outstanding Young Manufacturing Engineer Award, SME. This award recognizes manufacturing engineers, age 35 or younger, who have made exceptional contributions and accomplishments in the manufacturing industry.
October, 2021, our paper "WOOD: Wasserstein-based Out-of-Distribution Detection" was selected as the winner of the Best Theoretical Paper Award in the 16th INFORMS Workshop on Data Mining and Decision Analytics. Congratulations, Yinan Wang!
October, 2021, our paper "Neural Process Aided Ordinary Differential Equations for Uncertainty Quantification of FEA" won the INFORMS QSR Best Student Paper Award Finalist. Congratulations, Yinan Wang!
September, 2021, our paper "Partitioned Active Learning for Heterogeneous Systems" won the INFORMS QSR Best Paper Award Finalist. Congratulations, Cheol-Hei Lee!
September, 2021, our paper "A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to Image Defect Detection in Manufacturing Systems" (with A. Albahar and I. Kim) has been accepted by the IEEE Transactions on Automation Science and Engineering.
August, 2021, Dr. Yue has been elevated to the rank of IEEE Senior Member. He is also a senior member of the Industrial and Systems Engineers (IISE) and American Society for Quality (ASQ).
July, 2021, Ph.D. student Cheol-Hei Lee won the Best Poster Award at the QPRC conference. Congratulations!
June, 2021, Dr. Yue was selected to the 2021 U.S. Frontiers of Engineering Symposium organized by the National Academy of Engineering.
June, 2021, Ph.D. student Yinan Wang won the Best Poster Award at the NAMRC/MSEC conference, organized by ASME and SME. Yinan also won the Gilbreth Memorial Fellowship from IISE. Congratulations!
May, 2021, Dr. Yue serves as a DOD faculty fellow for developing cutting-edge manufacturing techniques, and fostering a next-generation of manufacturing workforce. We thank the support from the DOD MEEP.
March, 2021, Two papers "Tensor Decomposition to Compress Deep Learning" and "NP-ODE" have been accepted by IISE Transactions. Data and Codes are available to the public.
January, 2021, Our lab received an award from NSF, with a project entitled "Ultra-high Precision Assembly of Aerospace Composite Structures: Fusing Physics-Based and Data-Driven Models". Thanks NSF for the support.
November, 2020, Ph.D. student Cheol-Hei Lee won the IISE Data Analytics and Information Systems (DAIS) Best Student Paper Award. Congratulations!
October, 2019, Our paper "Mutual Information-Based Sensing Optimization for In-Process Quality Inspection of Multi-station Assembly Processes" won the ASME IMECE Outstanding Paper Award Runner-Up (Advanced Manufacturing Award).
August, 2019: Dr. Yue won the FTC Early Career Grant Award; and Graduate students Yinan Wang and Cheol Hei Lee won American Society for Quality (ASQ) FTC student scholarship. We thank ASQ for the support!
May, 2019: Dr. Yue received Early Career Travel Award from the American Statistical Association (ASA). We thank ASA for the support!
February, 2019: NVIDIA GPU Grant was awarded to the lab. We thank the NVIDIA Corporation for supporting our research.
November, 2018: Our paper "Optimal Placement of Actuators for Composite Fuselage Shape Control" won the 2018 INFORMS Quality, Statistics and Reliability (QSR) Best Refereed Paper Award Finalist.
August, 2018: We received the IEEE Transactions on Automation Science and Engineering Best Paper Award from the IEEE Robotics & Automation Society .
June, 2018: Dr. Yue received the Mary G. and Joseph Natrella Scholarship from the American Statistical Association (ASA). This is awarded to two Ph.D. by ASA for engagement and experience in statistical applications, and for service and leadership in the statistics community. Thank ASA for the support!