David M. McKenney Family Associate Professor
Education
- Ph.D. Industrial and Systems Engineering , National University of Singapore
- B.Eng Mechanical Engineering , Harbin Institute of Technology
About
[*Please reach out for PhD, RA or other research/education opportunities]
Dr. Xiao Liu is the David M. McKenney Family Associate Professor at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. Before joining Georgia Tech, he held the Research Staff Member position at the IBM Thomas J. Watson Research Center, New York and Singapore, and was the John L. Imhoff Endowed Chair and Assistant Professor at the Department of Industrial Engineering, University of Arkansas. He received the Climate Tech Fellowship from the New York Climate Exchange. His research focuses on statistical methods and machine learning in engineering/scientific domain knowledge intensive environments. His work has appeared in Engineering, Applied Math and Statistics journals (e.g., JASA, Technometrics, SIAM Journal on Scientific Computing, AIAA Journals, IISE Transactions, IEEE Transactions, AOAS, etc.), and has been recognized by various academic societies (e.g., the Statistics in the Physical and Engineering Sciences (SPES) award from the American Statistical Association, IBM Outstanding Technical Achievement Award, Best Refereed Paper Award by the QSR seciton of INFORMS, etc.). Dr. Liu's research has primarily been supported by the National Science Foundation, including the NSF CAREER award. Dr. Liu served as the President of the Data Analytics & Information Systems division of IISE, and the Program co-Chair for the 2025 IISE Annual Conference & Expo. He is currently on the Editorial Board and an Associate Editor of multiple journals, such as Technometrics, IISE Transactions, QREI and IJRQSE.
Research
Dr. Liu's research focuses on statistical methods and machine learning in engineering/scientific domain knowledge intensive environments. His work has appeared in Engineering, Applied Math and Statistics journals (e.g., JASA, Technometrics, SIAM Journal on Scientific Computing, AIAA Journals, IISE Transactions, IEEE Transactions, AOAS, etc.), and has been recognized by academic societies (e.g., the Statistics in the Physical and Engineering Sciences (SPES) award from the American Statistical Association, IBM Outstanding Technical Achievement Award, Best Refereed Paper Award by the QSR seciton of INFORMS, etc.). Dr. Liu's research has primarily been supported by the National Science Foundation, including the NSF CAREER award.
Teaching
Professor Liu's teaching interests include core industrial and systems engineering courses at both undergraduate and graduate levels, emphasizing data analytics, optimization, and decision-making methodologies. His instruction aims to develop students' analytical and computational skills critical for solving complex systems problems. Professor Liu integrates theoretical foundations with practical applications to prepare students for research and professional challenges in industrial engineering and related disciplines.
Representative Publications
Selected Publications (see https://sites.google.com/site/liuxiaosite1/ for more a complete list)
- Liu, X., Feng, J.Y., and Liu, X.C., (2026), "Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process", SIAM Journal on Scientific Computing (accepted). arXiv: 2410.14090. Article Link.
- Wei, G.Z., Qiu, F., and Liu, X., (2025), “Convolutional Non-Homogeneous Poisson Process and its Application to Wildfire Ignition Risk Quantification for Power Delivery Networks”, Technometrics, 67, 11-22. Article Link. (also on arXiv:2301.00067).
- Wei, G.Z., Krishnan, V., Xie, Y., Sengupata, M., Zhang, Y.C., Liao, H.T., and Liu, X., (2024), "A Statistical Model for Multi-Source Remote-Sensing Data Streams of Wildfire Aerosols Optical Depth," INFORMS Journal on Data Science, 3, 162-178. Article Link. (also on arXiv: 2206.11766).
- Liu, X., Yeo, K. M., Lu, S. Y. (2022), “Statistical Modeling for Spatio-Temporal Data from Stochastic Convection-Diffusion Processes”, Journal of the American Statistical Association (Theory and Methods), 117, 1482-1499. Article Link. code. (also on arXiv: 1910.10375).
- Liu, X.C., Hwang, Y., Phan, D., Klein, L. Liu, X., Yeo, K., (2025), "Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources", IISE Transactions, arXiv:2509.05559.
- Liu, X.C., Liu, X., Kaman, T, Lu, X., and Lin, G. (2023), “Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions”, Technometrics, 65, 564-578. Article Link.