Skip to main content
OKState.edu
Current StudentsFaculty/StaffmyOKSTATEDirectory
Quicklinks
/
Search
 Apply
Close
Search
DirectoryA-Z Site Index
Quicklinks
Logins
myOKSTATEEmailO-Key AccountCanvas
Academic Schedule
Academic CalendarCatalogClass ScheduleRegistrar
Places & Departments
BookstoreBursarIT HelpdeskLibraryParking & TransitStudent Union
Trending Now
CommencementFall EnrollmentFAFSA
Go back to top of page

College of
Engineering, Architecture and Technology

Open Main MenuClose Main Menu
About the College Schools & Programs Research Engineering Extension Facilities
Info for
About the College Schools & Programs Research Engineering Extension Facilities
Info for
Current StudentsFaculty/StaffmyOKSTATEDirectory
Search
DirectoryA-Z Site Index
Quicklinks
Logins
myOKSTATEEmailO-Key AccountCanvas
Academic Schedule
Academic CalendarCatalogClass ScheduleRegistrar
Places & Departments
BookstoreBursarIT HelpdeskLibraryParking & TransitStudent Union
Trending Now
CommencementFall EnrollmentFAFSA
Go back to top of page

Dr. Lizhi Wang

Professor
Ken and Lynn Case Endowed Chair

Areas of Interest:

  • Operations research
  • Bilevel optimization
  • Plant breeding
  • Crop modeling
  • Data analytics
  • Digital twin 

Academic Qualifications:

  • Ph.D., Industrial Engineering, University of Pittsburgh, 2007
  • Bachelor of Engineering, Automation, University of Science and Technology of China, 2003
  • Bachelor of Science, Management Science, University of Science and Technology of China, 2003

Academic Positions:

  • Professor, Oklahoma State University, 2023 – present
  • Professor, Iowa State University, 2021 – 2023
  • Associate Professor, Iowa State University, 2013 – 2021
  • Assistant Professor, Iowa State University, 2007 – 2013

Selected Publications:

  • Chang, Yanbin, Jeremy Latham, Mark Licht, and Lizhi Wang. "A data-driven crop model for maize yield prediction." Communications Biology 6, no. 1 (2023): 439.
  • Ni, Zheng, Saba Moeinizade, Aaron Kusmec, Guiping Hu, Lizhi Wang, and Patrick S. Schnable. "New insights into trait introgression with the look-ahead intercrossing strategy." G3: Genes, Genomes, Genetics 13, no. 4 (2023): jkad042.
  • Wang, Lizhi. "The leave-worst-k-out criterion for cross validation." Optimization Letters 17, no. 3 (2023): 545-560.
  • Zerui Zhang and Lizhi Wang, "A look-ahead approach to maximizing present value of genetic gains in genomic selection," G3, vol. 12(8), 2022.
  • Moeinizade, Saba, Guiping Hu, and Lizhi Wang. "A reinforcement learning approach to resource allocation in genomic selection." Intelligent Systems with Applications 14 (2022): 200076.
  • Amini, Fatemeh, Guiping Hu, Lizhi Wang, and Ruoyu Wu. "The L-shaped selection algorithm for multitrait genomic selection." Genetics 221, no. 3 (2022): iyac069.
  • Ye Han, John N Cameron, Lizhi Wang, Hieu Pham, William D Beavis, "Dynamic programming for resource allocation in multi-allelic trait introgression," Frontiers in Plant Science, 12(1181), 2021.
  • Faezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang, Isaiah Huber, and Sotirios V. Archontoulis, "A time-dependent parameter estimation framework for crop modeling," Scientific Reports, 11(1), p. 1-15, 2021.
  • Saba Moeinizade, Aaron Kusmec, Guiping Hu, Lizhi Wang, and Patrick S. Schnable, "Multi-trait genomic selection methods for crop improvement," Genetics, vol. 215(4), p. 931-945, 2020.
  • Saeed Khaki, Lizhi Wang, and Sotirios Archontoulis, "A CNN-RNN framework for crop yield prediction," Frontiers in Plant Science, vol. 10, p. 1750, 2019.
  • Javad Ansarifar and Lizhi Wang, "New algorithms for detecting multi-effect and multi-way epistatic interactions,'' Bioinformatics, vol. 35(24), p. 5078-5085, 2019.
  • Saeed Khaki and Lizhi Wang, "Crop yield prediction using deep neural networks,'' Frontiers in Plant Science, vol. 10, p. 621, 2019.
  • Saba Moeinizade, Guiping Hu, Lizhi Wang, and Patrick Schnable, "Optimizing selection and mating in genomic selection with a look-ahead approach: an operations research framework," Genes Genomes Genetics, vol. 9(7), p. 2123-2133, 2019.
  • Lizhi Wang and Pan Xu, "The watermelon algorithm for the bilevel integer linear programming problem,'' SIAM Journal on Optimization, vol. 27(3), p. 1403-1430, 2017.
  • Ye Han, John Cameron, Lizhi Wang, and William Beavis, "The predicted cross value for genetic introgression of multiple alleles,''  Genetics, vol. 205(4), p. 1409-1423, 2017.
  • Bokan Chen and Lizhi Wang, "Robust transmission planning under uncertain generation investment and retirement,'' IEEE Transactions on Power Systems, vol. 31(6), p. 5144-5152, 2016.
  • Bokan Chen, Jianhui Wang, Lizhi Wang, Yanyi He, and Zhaoyu Wang, "Robust optimization for transmission expansion planning: Minimax cost vs. minimax regret,'' IEEE Transactions on Power Systems, vol. 29(6), p. 3069-3077, 2014.
  • Zhaoyang Duan, Brittni Gutierrez, and Lizhi Wang, "Forecasting plug-in electric vehicles sales and the diurnal recharging load curve,'' IEEE Transactions on Smart Grid, vol. 5(1), p. 527-535, 2014.
  • Pan Xu and Lizhi Wang, "An exact algorithm for the bilevel mixed integer linear programming problem under three simplifying assumptions,'' Computers & Operations Research, vol. 41, p. 309-318, 2014.
  • Lizhi Wang, "Branch-and-bound algorithms for the partial inverse mixed integer linear programming problem,'' Journal of Global Optimization, vol. 55(3), p. 491-506, 2013.
  • Pan Xu, Lizhi Wang, and William Beavis, "An optimization approach to gene stacking,'' European Journal of Operational Research, vol. 214(1), p. 168-178, 2011.
  • Lizhi Wang, Anhua Lin, and Yihsu Chen, "Potential impacts of recharging plug-in hybrid electric vehicles on locational marginal prices,'' Naval Research Logistics, vol. 57(8), p. 686-700, 2010.
  • Lizhi Wang, "Cutting plane algorithms for the inverse mixed integer linear programming problem,'' Operations Research Letters, vol. 37(2), p. 114-117, 2009.
  • Lizhi Wang and Mainak Mazumdar, "Using a system model to decompose the effects of influential factors on locational marginal prices,'' IEEE Transactions on Power Systems, vol. 22(4), p. 1456-1465, 2007.

Honors, Recognition, and Outstanding Achievements

Back To Top
Back To Top
MENUCLOSE