Dr. Guiping Hu
Professor and Head
Donald & Cathey Humphreys Chair
Areas of Interest:
Machine Learning and Data Analytics
Supply Chain Design and Planning
Precision and Sustainable Agriculture
Manufactruing System Design and Modeling
Healthcare and Welfare Analytics
Academic Qualifications:
· Ph.D., Industrial Engineering, University of Pittsburgh, 2009
· M.S., Industrial Engineering, University of Pittsburgh, 2006
· B.S., Management Science, University of Science and Technology of China, 2004
· B.E., Automation, University of Science and Technology of China, 2003
Selected Publications:
†: graduate student under my supervision
96: †Luning Bi, Owen Wally, Guiping Hu, Albert Tenuta,Yuba Kandel, and Daren S Mueller, “A Transformer-Based Approach for Early Prediction of Soybean Yield Using Time-Series Images”, Frontiers in Plant Science, in press.
95: †Mohammad Fili, Guiping Hu, Changze Han, Alexa Kort, John Trettin, and Hillel Haim, “A Classification Algorithm Based on Dynamic Ensemble Selection to Predict Mutational Patterns of the Env Protein in HIV-infected Patients”, Algorithms for Molecular Biology, in press.
94: Gorkem Emirhuseyinoglu, †Mohsen Shahhosseini, Guiping Hu, and Sarah Ryan, “Validation of scenario generation for decision-making using machine learning prediction models: A case study for crop yield,” Optimization Letters, in press.
93: Zheng Ni, †Saba Moeinizade, Aaron Kusmec, Guiping Hu, Lizhi Wang, and Patrick Schnable, “New insights into trait introgression with the look-ahead intercrossing strategy,” G3: Genes Genomes Genetics, in press.
92: †Saiara Samira Sajid, Mohsen Shahhosseini, Isaiah Huber, Guiping Hu, and Sotirios Archontoulis, “County-Scale Crop Yield Prediction by Integrating Crop Simulation with Machine Learning Models,” Frontiers in Plant Science, in press.
91: †Parvin Mohammadiarvejeh, Brandon S. Klinedinst, Qian Wang; Tianqi Li, Brittany Larsen, Amy Pollpeter, Shannin N. Moody, Sara A. Willette, Jon P. Mochel, Karin Allenspach, Guiping Hu, Auriel A. Willette, "Bioenergetic and vascular predictors of potential super-ager and cognitive decline trajectories – A UK Biobank Random Forest classification study ", GeroScience, in press, (2022).
90: Conard Lee, †Fatemeh Amini, Guiping Hu, and Larry Halverson, “Machine learning prediction of nitrification from ammonia-and nitrite-oxidizer community structure," Frontiers in Microbiology, in press, (2022).
89: †Luning Bi, †Mohammad Fili, and Guipng Hu, “COVID-19 forecasting and intervention plan using gated recurrent unit and evolutionary algorithm,” Neural Computing and Applications, 1-19 (2022). DOI: 10.1007/s00521-022-07394-z.
88: †Saba Moeinizade, Lizhi Wang, and Guiping Hu, “A reinforcement learning approach to resource allocation in genomic selection,” Intelligent Systems with Applications, Vol. 14, 200076 (2022). DOI: 10.1016/j.iswa.2022.200076.
87: †Fatemeh Amini, Guiping Hu, Lizhi Wang, and Ruoyu Wu, “The L-shaped selection algorithm for multi-trait genomic selection," Genetics (2022). DOI: 10.1093/genetics/iyac069.
86: Carolyn J. Lawrence-Dill, Robyn L. Allscheid, Albert Boaitey, Todd Bauman, Edward S. Buckler IV, Jennifer L. Clarke, Christopher Cullis, Jack Dekkers, Cassandra J. Dorius, Shawn F. Dorius, David Ertl, Matthew Homann, Guiping Hu, Mary Losch, Eric Lyons, Brenda Murdoch, Zahra-Katy Navabi, Somashekhar Punnuri, Fahad Rafiq, James M. Reecy, Patrick S. Schnable, Nicole M. Scott, Moira Sheehan, Xavier Sirault, Margaret Staton, Christopher K. Tuggle, Alison Van Eenennaam, Rachael Voas “Ten simple rules to ruin a collaborative environment,” PLOS Computational Biology, Vol. 18(4), e1009957 (2022). DOI: 10.1371/journal.pcbi.1009957.
85: †Carl Kirpes, Guiping Hu, and Dave Sly, “The 3D product model research evolution and future trends: A systematic literature review,” Applied System Innovation, Vol. 5(2), 29 (2022).
DOI: 10.3390/asi5020029.
84: †Saiara Samira Sajid and Guiping Hu, “Optimizing crop planting schedule considering planting window and storage capacity,” Frontiers in Plant Science, Vol. 13, (2022). DOI: 10.3389/fpls.2022.762446.
83: †Mohsen Shahhosseini, Guiping Hu, and Hieu Pham, “Optimizing ensemble weights and hyperparameters of machine learning models for regression problems,” Machine Learning with Applications, Vol. 7, 100251 (2022). DOI: 10.1016/j.mlwa.2022.100251.
82: Hanora Van Ert, Dana Bohan, Kai Rogers, †Mohammad Fili, Anthony Rojas Chavez, Enya Qing, Changze Han, Spencer Dempewolf, Guiping Hu, Nathan Schwery, Kristina Sevcik, Natalie Ruggio, Devlin Boyt, Michael Pentella, Tom Gallagher, J Jackson, Anna Merrill, C Knduson, Grant Brown, Wendy Maury, and Hillel Haim, “Limited variation between SARS-CoV-2-infected individuals in domain specificity and relative potency of the antibody response against the spike glycoprotein,” Microbiology Spectrum, Vol. 10(1), 02676-21 (2022). DOI: 10.1128/spectrum.02676-21.
81: †Mohammad Rahdar, Lizhi Wang, Jing Dong, and Guiping Hu, “Resilient transportation network design under uncertain link capacity using a tri-level optimization model,” Journal of Advanced Transportation, (2022). DOI: 10.1155/2022/5023518.
80: †Saba Moeinizade, Ye Han, Hieu Pham, Austin Dobbels, and Guiping Hu, “An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions,” Machine Learning with Applications, Vol. 7, 100233 (2022).
DOI: 10.1016/j.mlwa.2021.100233.
79: †Vahid Azizi and Guiping Hu, “A multi-stage stochastic programming model for the multi-echelon multi-period reverse logistics problem,” Sustainability, Vol. 13(24), 13596 (2021). DOI: 10.3390/su132413596.
78: †Carl Kirpes, Dave Sly, and Guiping Hu, “Quantitative model for the value of the 3D product model use in production processes”, Applied System Innovation, Vol. 4(4), 902021 (2021).
DOI: 10.3390/asi4040090.
77: Komey Baghizadeh, Julia Pahl, and Guiping Hu, “Closed-loop supply chain design with sustainability aspects and network resilience under uncertainty: Modelling and Application,” Mathematical Problems in Engineering (2021). DOI: 10.1155/2021/9951220.
76: †Mohsen Shahhosseini, Guiping Hu, and Sotirios Archontoulis, “Corn yield prediction with ensemble CNN-DNN,” Frontiers in Plant Science, Vol. 12 (2021). DOI: 10.3389/fpls.2021.709008.
75: †Carl Kirpes, Dave Sly, and Guiping Hu, “Value of 3D product model use in assembly processes: process planning, design, and shop floor execution”, Applied System Innovation, Vol. 4(2), 39 (2021). DOI: 10.3390/asi4020039.
74: †Luning Bi and Guipng Hu, “A genetic algorithm assisted deep learning approach for crop yield prediction,” Soft Computing, Vol. 25(16), 10617-10628 (2021). DOI: 10.1007/s00500-021-05995-9.
73: Aaron Kusmec, Zihao Zheng, Sotirios Archontoulis, Baskar Ganapathysubramanian, Guiping Hu, Lizhi Wang, Jianming Yu, and Patrick S. Schnable “Interdisciplinary strategies to enable data-driven plant breeding in a changing climate,” One Earth, Vol. 4(3), 372-383 (2021).
DOI: 10.1016/j.oneear.2021.02.005
72: †Zhengyang Hu, Viren Parwani, and Guiping Hu, “Closed-loop supply chain network design under uncertainties,” Logistics, Vol. 5(1), 15, (2021). DOI: 10.3390/logistics5010015.
71: †Fatemeh Amini, Felipe Restrepo, Guiping Hu, and Lizhi Wang, "The Look Ahead trace back optimizer for genomic selection under transparent and opaque simulators," Scientific Reports, Vol. 11, 1-13 (2021). DOI: 10.1038/s41598-021-83567-5.
70: †Saba Moeinizade, Ye Han, Hieu Pham, Guiping Hu, and Lizhi Wang, “A Look-ahead Monte Carlo simulation method for improving parental selection in trait introgression,” Scientific Reports, Vol. 11(1), 1-12 (2021). DOI: 10.1038/s41598-021-83634-x.
69: Viren Parwani and Guiping Hu, “Improving manufacturing supply chain by integrating smed and production scheduling,” Logistics, Vol. 5 (1), 4, (2021).
DOI: 10.3390/logistics5010004.
68: †Mohsen Shahhosseini, Guiping Hu, Ishiah Huber, and Sotirios Archontoulis, “Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt,” Scientific Reports, Vol. 11, 1606 (2021). DOI: 10.1038/s41598-020-80820-1.
67: †Fatemeh Amini and Guiping Hu, “A hybrid two-layer feature selection method using genetic algorithm and elastic net,” Expert Systems with Applications, Vol. 166, (2021).
DOI: 10.1016/j.eswa.2020.114072.
66: †Shiyang Huang and Guiping Hu, “Job shop scheduling with AGVs under variable processing time,” International Journal of Production and Scheduling, Vol. 3(2), 114-139 (2021).
DOI: 10.1504/IJPS.2021.115617.
65: Preetam Kulkarni, †Vahid Azizi, Guiping Hu, and Lizhi Wang, “Analysis of decision making and information sharing strategies in a two-echelon supply chain,” International Journal of Supply Chain and Inventory Management, Vol. 4(1), 81-106 (2021).
DOI: 10.1504/IJSCIM.2021.114750.
Honors, Recognition, and Outstanding Achievements
- Aspire Leadership Academy Fellow, NSF, 2022-2024
- Syngenta Crop Challenge, Member of Third place winning team, INFORMS, 2021
- Covid-19 Pandemic Response Challenge, Member of the Finalist team, XPRIZE, 2021
- Best Student Paper Competition, Third place winner, Service Science, INFORMS, 2021
- Mid-Career Achievement in Research Award, ISU, 2019
- Plant Sciences Institute Scholar, ISU, 2018-2024
- CleanTech Fellowship Award, NSF, 2011
- Book Scholarship Award, University of Pittsburgh, 2006
- Meeting of the Minds Competition Award, Great Global Sustainability Challenge, 2006
- Best Engineering Award, Asia-Pacific Robot Contest, 2003