Uncertainty Quantification, Statistical Design and Modeling for Computer Experiments
Bayesian Optimization
Design of Controlled Experiments
Data Analytics for Engineering Applications
Limaye, M., Li, Y.*, Zhang, Q. and Li, G., Numerical Simulation Informed Rapid Cure Process Optimization of Composite Structures using Constrained Bayesian Optimization, Equal contribution of the first two authors.
Fisher, W*, Zhang, Q., Kang, L, and Deng, X, Collaborative Design of Controlled Experiments in the Presence of Subject Covariates.
Li, Y.*, Zhang, Q. Limaye, M., and Li, G., Uncertainty Estimation of the Optimal Decision with Application to Cure Process Optimization.
Fisher, W* and Zhang, Q., A Constrained Regression Approach to Data-Driven Decomposition for Many-Objective Black-Box Optimization.
Zhang, Q., Kang, L., and Deng, X. (2025) Collaborative Analysis for Paired A/B Testing Experiments. Statistica Sinica. Accepted.
Zhang, Q. (2025), Rerandomization Algorithms for Optimal Designs of Network A/B Testing Experiments. Technometrics. Accepted.
Fisher, W*, Zhang, Q., and Song. Y. (2025), Approximate Dynamic Programming Methods in Bayesian Preference Elicitation. Quality Engineering, 37 (3), 475-492.
Fisher, W.*, Zhang, Q., and Song, Y. (2024), Batch Sequential Designs in Bayesian Preference Elicitation with Application to Tradespace Exploration. Journal of Quality Technology, 57 (2), 115-134.
Kerfonta, C.*, Kim, S., Chen, Y., Zhang, Q., Jiang, M. (2024) Sequential Selection for Minimizing the Variance with Application to Crystallization Experiments. The American Statistician. 78 (4), 391-400.
Li, Y.*, Zhang, Q., Khademi, A. and Yang, B. (2023), Optimal Design of Controlled Experiments for Personalized Decision Making in the Presence of Observational Covariates. The New England Journal of Statistics in Data Science,1 (3), 386–393.
Wu, H., Tan, X., Zhang, Q., Huang, W., Lu, X., Nishimura, Y. and Zhang, Y. (2022), Multi-Resolution Data Assimilation for Auroral Energy Flux and Mean Energy Using DMSP SSUSI, THEMIS ASI, and an Empirical Model. Space Weather. 20(9): e2022SW003146.
Zhang, Q. and Kang, L. (2022), Locally Optimal Design for A/B Tests in the Presence of Covariates and Network Dependence. Technometrics. 64.3: 358-369. [code]
Chen, Y., Zhang, Q., Li, M., Cai, W. (2022), Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference. Naval Research Logistics. 69 (2), 336-351.
Zhang, Q., Khademi, A. and Song, Y. (2022), Min-Max Optimal Design of Two-Armed Trials with Side Information. INFORMS Journal on Computing. 34:1, 165-182. [code]
Zhang, Q., Wang, B., Xie, W. (2022), A Pooled Quantile Estimator for Parallel Simulations. Journal of Simulation. 16:1, 73-83.
Zhang, T.* and Zhang, Q. (2021), On the Interface Between Nested Designs and the Multi-step Interpolator. Journal of Statistical Theory and Practice, 15 (4): 1-19.
Zhao, J.* , Zhang, Q. , Fuentes, M. , Qian, Y. , Ma, L. , and Moeller, G. (2021), A Spatio-temporal Model for Detecting the Effect of Cocaine Use Disorder on Functional Connectivity. Spatial Statistics, 45, 100530.
Zhang, Q., Chien, P. Z. G., Liu, Q., Xu, L., Hong, Y. (2021), Mixed-input Gaussian process emulators for computer experiments with a large number of categorical levels. Journal of Quality Technology, 53(4), 410-420.
Loh, W.-Y., Zhang, Q., Zhang, W., and Zhou, P. (2020), Missing data, imputation and regression trees. Statistica Sinica. 30, 1697-1722.
Chen, S., Lu, L., Zhang, Q., and Li, M. (2020), Optimal Reliability Demonstration Tests Design under Acceptance Decision Uncertainty. Quality Engineering. 32(3), 492-508.
Wang, H., Zhang, Q., Wang, K. and Deng, X. (2020), A Statistics-Guided Approach to Dimensional Quality Characterization of Free-form Surfaces with an Application to 3D Printing. Quality Engineering. 32(4), 721-739.
Zhang, Q., and Hwang, Y. (2020), Sequential Model-based Optimization for Continuous Inputs with Finite Decision Space. Technometrics, 62.4: 486-498.
Pokhiko, V.*, Zhang, Q., Kang, L., Mays, D. (2019), D-optimal design for network A/B testing. Journal of Statistical Theory and Practice, 13(4), 1-23.
Wang, B., Zhang, Q., Xie, W. (2019), Bayesian Sequential Data Collection for Stochastic Simulation Calibration, European Journal of Operational Research, 277 (1), 300-316. (Finalist, INFORMS QSR Best Student Paper Award 2017.)
Zhang, Q., Huangfu, Y., Zhang, W. (2019), Statistical Regression Models for WCET Estimation. Quality Technology & Quantitative Management, 16 (3), 318-329.
Sun, X., Mraied, H., Cai, W., Zhang, Q., Liang, G., Li, M. (2018), Bayesian latent degradation performance modeling and quantification of corroding aluminum alloys, Reliability Engineering & System Safety, 178, 84-96.
Zhang, Q. and Song, Y. (2017), Moment Matching Based Conjugacy Approximation for Bayesian Ranking and Selection. ACM Transactions on Modeling and Computer Simulation, 27 (4), 1-23. [code]
Zhang, Q. , Qian, P. Z. G. (2013), Designs for crossvalidating approximation models. Biometrika. 100(4), 997-1004.
Zhang, Q. , Deng, X., Qian, P. Z. G., Wang, X. (2013), Spatial modeling for refining and predicting surface potential mapping with enhanced resolution. Nanoscale. 5, 921-926.
Ji, Y., Xu, Y., Zhang, Q. , Tsui, K.-W., Yuan, Y., Liang, S. and Liang, H. (2011), BM-Map: Bayesian mapping of multireads for next-generation sequencing data. Biometrics. 67(4), 1215-1224.
Zhang, Q. and Wang, H. (2011), On BIC's selection consistency for discriminant analysis. Statistica Sinica. 21, 731-740.
Kerfonta, C.*and Zhang, Q. (2025), Bayesian Optimization with Transformed Additive Gaussian Processes., Proceedings of IEEE International Conference on Automation Science and Engineering (CASE), 2025.
Li, Y.*, Zhang, Q. Limaye, M., and Li, G.,(2025), Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization.,Proceedings of IISE Annual Conference and Expo, 2025.
Kerfonta, C.*, Zhang, Q. , Wiecek, M. (2024), Bi-objective Bayesian Optimization with Transformed Additive Gaussian Processes., Proceedings of Winter Simulation Conference, 2024.
Fisher, W.*, Zhang, Q., Li, X., Deng, X. (2022). A NURBS Fitting Approach for Quality Assessment of 3D Printing, Proceedings of IISE Annual Conference and Expo, 2022, 357-362.
Fisher, W.*, Zhang, Q., Song, Y, Gorsich, D, Hartman, G. and Skowronska, A. (2022), Bayesian Sequential Preference Elicitation: A Tradespace Exploration Framework with Application in Vehicle Concept Design, Proceedings of IISE Annual Conference and Expo, 2022, 894-899. (Winner, Best Paper Award of the Operations Research Track, IISE Annual Conference & Expo 2022)
Ryzhov,I.O., Zhang, Q., and Chen, Y. (2020), Advanced Statistical Methods: Inference, Variable Selection, and Experimental Design. Proceedings of Winter Simulation Conference 2020, 1-15.
Xie, W., Wang, B., Zhang, Q. (2018), Metamodel-Assisted Risk Analysis for Stochastic Simulation under Input Uncertainty. Proceedings of Winter Simulation Conference, 2018, 1766-1777.
Xie, W., Zhang, P., Zhang, Q. (2017), A Stochastic Simulation Calibration Framework for Real-time System Control. Proceedings of Winter Simulation Conference, 2017, 1914-1925.
Wang, B., Zhang, Q., Xie, W. (2017), Bayesian sequential calibration using detailed sample paths. Proceedings of Winter Simulation Conference, 2017, 1962-1973.
Zhang, Q., Xie, W. (2017), Asymmetric Kriging Emulator for Stochastic Simulation. Proceedings of Winter Simulation Conference, 2017, 1762-1772.
Zhang, Q. , Song, Y. (2015), Simulation selection for empirical model comparison. Proceedings of Winter Simulation Conference, 2015, 3777-3788.
Experimental Design, Uncertainty Quantification and Decision Making for Complex Systems, NSF, PI, 2024-2027.
NRT-AI: Harnessing AI for Inverse Design Training in Advanced and Sustainable Composites (IDeAS Composites), NSF, senior personnel, 2023-2028.
Statistical Experimental Design for Modern Information Collection, Simons Foundation, PI, 2022-2027.
Artificially Intelligent Manufacturing Paradigm for Composites (AIM for Composites), DOE, co-PI, 2022-2026.
Data-driven Optimal Compensation for 3D Printing, ORAU Ralph E Powe Junior Faculty Enhancement Award, PI, 2020-2021.
Statistical Aspects of Computer Experiments, AMS-Simons Travel Grant, Simons foundation, PI, 2018-2020.