个人简介

Dr. Li holds a Bachelor's degree (2002) in Automatic Control and a Master's degree (2005) in Control Theory and Control Engineering from the University of Science and Technology of China. Dr. Li received his Ph.D. in Chemical Engineering from Rutgers University in 2010. Dr. Li was a postdoctoral research associate in Princeton University from June 2010 to December 2012. He joined the University of Alberta as an Assistant Professor in January 2013.

研究领域

Process systems engineering Computational biology Mathematical optimization

1) process operations involving scheduling, planning and supply chain management, as well as process design and process control with a focus on energy systems applications; 2) computational biology, with current focus on mass spectrum based peptide/protein identification and biomarker discovery; 3) nonlinear and mixed integer optimization, with a focus on addressing uncertainty through robust optimization, stochastic programming and parametric programming techniques.

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

H. Shahandeh, Z. Li. Design of Bitumen Upgrading and Utility Plant through Integrated Optimization. Industrial & Engineering Chemistry Research. 2017, DOI: 10.1021/acs.iecr.6b03420. R. Tan, B. Huang, Z. Li. Estimation of Flat-topped Gaussian distribution with application in system identification. Journal of Chemometrics. 2016, DOI: 10.1002/cem.2852. Z. Wang, Z. Li, Y. Feng, G. Rong. Crude Oil Operations under Uncertainty: A Continuous-time Rescheduling Framework and a Simulation Environment for Validation. Industrial & Engineering Chemistry Research. 2016, 55, 11383-11401. Y. Yuan, Z. Li, B. Huang. Robust Optimization Approximation for Joint Chance Constrained Optimization Problem. Journal of Global Optimization. 2016, accepted. W. Yan, P. Guo, L. Gong, Z. Li. Nonlinear and robust statistical process monitoring based on variant autoencoders. Chemometrics and Intelligent Laboratory Systems. 2016, 158, 31-40. H. Shahandeh, Z. Li. Modeling and Optimization of the Upgrading and Blending Operations of Oil Sands Bitumen. Energy & Fuels. 2016, 30, 5202-5213. Zhuangzhi Li, Z. Li. Linear Programming based Scenario Reduction using Transportation Distance. Computers & Chemical Engineering. 2016, 88, 50-58. Z. Wang, Z. Li, Y. Feng, G. Rong. Integrated short-term scheduling and production planning in an ethylene plant based on Lagrangean decomposition. Canadian Journal of Chemical Engineering. 2016, 94, 1723-1739. H. Shahandeh, S. Rahim, Z. Li. Strategic Optimization of the Oil Sands Development with SAGD: Drainage Area Arrangement and Development Planning. Journal of Petroleum Science and Engineering. 2016, 137, 172-184. Y. Yuan, Z. Li, B. Huang. Robust optimization under correlated uncertainty: Formulations and computational study. Computers & Chemical Engineering. 2016, 85, 58-71. Z. Li, C.A. Floudas. Optimal Scenario Reduction Framework based on Distance of Uncertainty Distribution and Output Performance: II. Sequential Reduction. Computers & Chemical Engineering. 2016, 84, 599-610. R. Patel, J. Trivedi, S. Rahim, Z. Li. Initial Sampling of Ensemble for SAGD Reservoir History Matching. Journal of Canadian Petroleum Technology. 2015, 54, 424-441. Y. Yuan, S. Khatibisepehr, B. Huang, Z. Li. Bayesian method for simultaneous gross error detection and data reconciliation. AIChE Journal. 2015, 61, 3232-3248. S. Rahim, Z. Li, J. Trivedi. Reservoir Geological Uncertainty Reduction: an Optimization-Based Method Using Multiple Static Measures. Mathematical Geosciences. 2015, 47, 373-396. Zhuangzhi Li, Z. Li. Optimal Robust Optimization Approximation for Chance Constrained Optimization Problem. Computers & Chemical Engineering. 2015, 74, 89-99. Z. Li, C.A. Floudas. A comparative theoretical and computational study on robust counterpart optimization: III. Improving the Quality of Robust Solutions. Industrial & Engineering Chemistry Research. 2014, 53, 13112-13124. Z. Li, C.A. Floudas. Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: I. Single reduction via mixed integer linear optimization. Computers & Chemical Engineering. 2014, 70, 50-66. Y. Ye, J. Li, Z. Li, Q. Tang, X. Xiao, C.A. Floudas. Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty. Computers & Chemical Engineering. 2014, 66, 165-185. R.C. Baliban, D. Sakellari, Z. Li, Y.A. Guzman, B.A. Garcia, C.A. Floudas. Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high-throughput proteomic analysis and mixed-integer linear optimization. Journal of Clinical Periodontology. 2013, 40, 131-139. Z. Li, Q. Tang, C.A. Floudas. A comparative theoretical and computational study on robust counterpart optimization: II. Probabilistic guarantees on constraint satisfaction. Industrial & Engineering Chemistry Research. 2012, 51, 6769-6788. Z. Li, M.G. Ierapetritou. Capacity expansion planning through augmented Lagrangian optimization: A comparison study of the decomposition strategies. AIChE Journal. 2012, 58, 871-883. R.C. Baliban, D. Sakellari, Z. Li, P.A. DiMaggio, B.A. Garcia, C.A. Floudas. Novel protein identification methods for biomarker discovery via a proteomic analysis of periodontally healthy and diseased gingival crevicular fluid samples. Journal of Clinical Periodontology. 2012, 39, 203-212. Z. Li, R. Ding, C.A. Floudas. A comparative theoretical and computational study on robust counterpart optimization: I. Robust linear optimization and robust mixed integer linear optimization. Industrial & Engineering Chemistry Research, 2011, 50, 10567-10603. Z. Li, M.G. Ierapetritou. Rolling horizon method for the integrated planning and scheduling problem with production capacity considerations. Chemical Engineering Science, 2010, 65, 5887-5900. Z. Li, M.G. Ierapetritou. Production planning and scheduling integration through augmented Lagrangian optimization. Computers & Chemical Engineering, 2010, 34, 996-1006.