Professor in Statistics
Department of Mathematics and Statistics
Queen's University, Kingston, ON, Canada
Tel. 613-533-2412
Email. devon.lin @queensu.ca
Professor in Statistics
Department of Mathematics and Statistics
Queen's University, Kingston, ON, Canada
Tel. 613-533-2412
Email. devon.lin @queensu.ca
Shahrokhian, A., Deng, X., Lin, C.D., Ranjan, P., and Xu L. (2025), Adaptive Design for Contour Estimation from Computer Experiments with Quantitative and Qualitative Inputs, Journal on Uncertainty Quantification, accepted, arXiv
Deng, Kang and Lin (2025), ``Design of Experiments for Emulators: A Selective Review from a Modeling Perspective,"arXiv
Lin and Stufken (2025), ``Orthogonal Arrays: A Review", WIRES Computational Statistics, arXiv
Deng, Kang and Lin (2025). ``Design of Experiments for Emulations,'' book chapter, submitted
Shahrokhian, Deng, and Lin (2025), ``Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs'' Handbook of Statistics - Statistics in Industry and Government Volume 53 , arXiv.
Co-organize and participate the IMSI Long program on Uncertainty Quantification and Artificial Intelligence for Complex Systems, March -April, 2025
Lin and Stufken (2025), ``Orthogonal Arrays: A Review", WIRES Computational Statistics, submitted.
Chen, He, Lin, Sun (2025), ``Grouped Orthogonal Arrays and Their Construction Methods,'' Statistica Sinica, to appear, check here.
Jan, 2025: Anita successfully defended her PhD thesis, and earned the title "Dr. Shahrokhian"
Xiao, Lin, Mandal, Bingham, Broekgaaden, Mandel and Deng (2024), `` A Hopfield Process Modeling for Computer Experiments with Binary Outputs", Submitted
Shahrokhian, Deng, Lin, Ranjan, and Xu (2024), ``Adaptive Design for Contour Estimation from Computer Experiments with Quantitative and Qualitative Inputs,'' under revision, Journal on Uncertainty Quantification, arXiv.
Teaching the new course STAT 161 in the fall, the course syllabus is here.
Design and Analysis of Experiment at Virginia Tech during May 15 - 17, 2024
Chen, He, Lin, Sun (2024), ``Grouped Orthogonal Arrays and Their Construction Methods''. Submitted.
Joint Statistical Meeting in Toronto during Aug 7-11, 2023
World Congress Meeting in Ottawa during July 17-20, 2023
ICSA China Conference in Chengdu, China during June 30 -July 1, 2023
Lin, C.D. and Ranjan, P. (2023). ``Sequential Designs for Computer Experiments,' book chapter, submitted
Spring Research Conference 2023 (the conference website is, https://sites.google.com/view/src2023) will take place on May 24-26, 2023 at Banff Center, Alberta, Canada
Co-editor for the New England Journal of Statistics in Data Science (NEJSDS) special issue of “Design and Analysis of Experiments for Data Science”, submission details at https://nestat.org/news/2022/04/design/
Spring Research Conference 2022 (the conference website is, https://sites.google.com/view/src2022) has been postpone to May 24-26, 2023 at Banff Center, Alberta, Canada
Optimal Design Emulator: A Point Process Approach. with Pratola, M.T. and Craigmile, P.F., submitted, 2022.
A New and Flexible Design Construction for Orthogonal Arrays for Modern Applications. with Y. He and F. Sun, The Annals of Statistics, Accepted, 2021.
Bootstrap Adjustment to Minimum p-Value Method for Predictive Classification with Li, N., Song, Y., and Tu, D., Statistica Sinica, Accepted, 2021
Doubly Coupled Designs for Computer Experiments with both Qualitative and Quantitative Factors. with Yang, F., Zhou, Y., and He. Y., Statistica Sinica Accepted, 2021.
The Lasso with Nearly Orthogonal Latin Hypercube Designs with Chien, P. Z. G and Deng, X., accepted, 2021.
Sequential Design for Computer Experiments with Quantitative and Qualitative Factors, with Cai, X, Xu, L, Lin, C.D., Hong, Y. and Deng, X, submitted, 2021
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors, with Qian, X., Mandal, A., and Deng, X. SIAM/ASA Journal on Uncertainty Quantification, to appear, 2020.
Global Fitting of the Response Surface via Estimating Multiple Contours of a Simulator, with F. Yang and P. Ranjan, Journal of Statistical Theory and Practice, to appear, 2020.
A Sequential Design Approach for Calibrating Dynamic Computer Simulators, with R. Zhang and P. Ranjan, SIAM/ASA Journal on Uncertainty Quantification, 7(4), 1245–1274. 2019.