Guiping Hu


Affliate Associate Professor
Industrial & Manufacturing Systems Engineering



  • PhD, Industrial Engineering, University of Pittsburgh, 2009
  • MS, Industrial Engineering, University of Pittsburgh, 2006
  • BE, Automation, University of Science and Technology of China, 2004
  • BS, Management Science, University of Science and Technology of China, 2003

Interest Areas

Dr. Hu’s research interests include operations research and optimization with applications in data analytics and machine learning, supply chain management, healthcare delivery, sustainable manufacturing, and bioinformatics. Her recent projects include designing machine learning methods for crop yield prediction and management, genomic selection method design for crop improvement, and data analytics and optimization for health care delivery.


†: graduate student under my supervision  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, DOI: 10.1007/s00521-022-07394-z, 2022.  88: † Saba Moeinizade, Lizhi Wang, and Guiping Hu, “A Reinforcement Linear Approach to Resource Allocation in Genomic Selection”, Intelligent Systems with Applications,, 2022.  87: † Fatemeh Amini, Guiping Hu, Lizhi Wang, and Ruoyu Wu, “The L-shaped Selection Algorithm for Multi-trait Genomic Selection,” Genetics, DOI: 10.1093/genetics/iyac069, 2022.  86: Carolyn J. Lawrence-Dill, et al., “Ten Simple Rules to Ruin a Collaborative Environment”, PLOS Computational Biology, 18(4): e1009957., 2022.  85: † Carl Kirpes, Guiping Hu, Dave Sly, “The 3D Product Model Research Evolution and Future Trends: A Systematic Literature Review”, Applied System Innovation, 2022, 5(2), 29;  84: † Saiara Samira Sajid and Guiping Hu, “Optimizing Crop Planting Schedule Considering Planting Window and Storage Capacity”, Frontiers in Plant Science,, 2022.  83: †Mohsen Shahhosseini, Guiping Hu, and Hieu Pham, “Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems”, Machine Learning with Applications,, 2022. 6  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,, 2022.  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.  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,, 2022.  2021 79: † Vahid Azizi and Guiping Hu, “A multi-stage stochastic programming model for the multi-echelon multi-period reverse logistics problem”, Sustainability, 13(24), 13596;, 2021.  78: †Carl Kirpes, Dave Sly, Guiping Hu, “Quantitative Model for the Value of the 3D Product Model Use in Production Processes”, Applied System Innovation, 2021, 4(4), 90;, 2021.  77: Komey Baghizadeh, Julia Pahl, Guiping Hu, “Closed-loop supply chain design with sustainability aspects and network resilience under uncertainty: Modelling and Application”, Mathematical Problems in Engineering, Volume 2021 |Article ID 9951220 |, 2021.  76: †Mohsen Shahhosseini, Guiping Hu, and Sotirios Archontoulis, “Corn Yield Prediction with Ensemble CNN-DNN,” Frontiers in Plant Science,, 2021.  75: †Carl Kirpes, Dave Sly, Guiping Hu, “Value of 3D Product Model use in Assembly Processes: Process Planning, Design, and Shop Floor Execution”, Applied System Innovation, 2021, 4(2), 39;  74: †Luning Bi, and Guipng Hu, “A Genetic Algorithm Assisted Deep Learning Approach for Crop Yield Prediction”, Soft Computing, 25(1–2), DOI:10.1007/s00500-021-05995-9.  73: Aaron Kusmec, Zihao Zheng, Sotirios Archontoulis, Baskar Ganapathysubramanian, Guiping Hu, Lizhi Wang, Jianming Yu, Patrick S. Schnable”Interdisciplinary Strategies to Enable Data-Driven Plant Breeding in a Changing Climate”, One Earth, 4(3), 372-383, 2021.  72: †Zhengyang Hu, †Viren Parwani and Guiping Hu, “Closed-loop Supply Chain Network Design Under Uncertainties,” Logistics, 2021, 5(1), 15; 7  71: † Fatemeh Amini, †Felipe Restrepo, Guiping Hu, and Lizhi Wang, “The Look Ahead Trace Back Optimizer for GenomicSelection under Transparent and Opaque Simulators,” Nature Scientific Reports, vol 11, (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,” Nature Scientific Reports, vol 11, (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,” Nature Scientific Reports, vol 11, 1606 (2021). DOI: 10.1038/s41598-020-80820-1.  67: †Mahsa 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.  2020 66: †Luning Bi, Guiping Hu, Muhammad Mohsin Raza, Yuba Kandel, Leonor Leandro, Daren Mueller, “A Gated Recurrent Units (GRU)-based model for early detection of soybean sudden death syndrome through time-series satellite imagery,” Remote Sensing, vol 12 (21), (2020). DOI: 10.3390/rs12213621.  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, 2020.  64: †Sidharth Sankhye and Guiping Hu, “Machine Learning Methods for Quality Prediction in Manufacturing Inspection,” Logistics, vol 4(4), (2020). DOI: 10.3390/logistics4040035.  63: †Luning Bi and Guiping Hu, “Improving image-based plant disease classification with generative adversarial network under limited training set,” Frontiers in Plant Science, vol 11, (2020). DOI: 10.3389/fpls.2020.583438.  62: † Shiyang Huang and Guiping Hu, “Job shop scheduling with AGVs under variable processing time,” International Journal of Production and Scheduling, 2020.  61: †Mohsen Shahhosseini, Guiping Hu, and Sotirios Archontoulis, “Forecasting corn yield with machine learning ensembles,” Frontiers in Plant Science, 2020. DOI: 10.3389/fpls.2020.01120.  60: †Saba Moeinizade, Aaron Kusmec, Guiping Hu, Lizhi Wang, and Patrick Schnable, “Multi-trait Genomic Selection Methods for Crop Improvement,” Genetics, 10.1534/genetics.120.303305, 2020. 8  59: † Mohsen Shahhosseini and Guiping Hu, “Machine learning models for corn yield prediction: A survey of literature,” International Journal of Environmental Sciences & Natural Resources, 25(3): 556161. DOI: 10.19080/IJESNR.2020.25.556161, 2020.  58: †Qi Li and Guiping Hu, “Multistage stochastic programming modeling for farmland irrigation management under uncertainty”, Plos One,, 2020.  57: † Vahid Azizi and Guiping Hu, “A two-stage stochastic programming model for multi-period reverse logistics network design with lot-sizing”, Computers & Industrial Engineering, Volume 143, May 2020, 106397.  56: †Vahid Azizi and Guiping Hu, “Multi-product pickup and delivery supply chain design with location-routing and direct shipment,” International Journal of Production Economics, Volume 226, 107648, 2020.  55: †Zhengyang Hu, Goutham Ramraj, and Guiping Hu, “Production Planning with a Two-Stage Stochastic Programming Model in a Kitting Facility Under Demand and Yield Uncertainties,” International Journal of Management Science and Engineering Management,, 2020.  2019 54: * † Shahhosseini, Mohsen; Martinez-Feria, Rafael; Hu, Guiping; Archontoulis, Sotirios, “Maize yield and nitrate loss prediction with machine learning algorithms”, Environmental Research Letters, in press, 2019. 53: * † Vahid Azizi and Guiping Hu, “A branch and bound algorithm to solve a two-machine no-wait flowshop scheduling problem with truncated learning function,” International Journal of Management Science and Engineering Management, in press, 2019. 52: * † 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,” G3: Genes|Genomes|Genetics, in press, 2019. 51: * † Zhengyang Hu, Ronald Askin and Guiping Hu, “Hub Relay Network Design for Daily Driver Routes,” International Journal of Production Research, in press, 2019. 50: *†Shiyang Huang and Guiping Hu, “Automated Guided Vehicle Dispatching Based on Combinatorial Optimization to Minimize Job Waiting Time on Shop Floors,” International Journal of Planning and Scheduling, in press, 2019. 2018 49: Xiaoya Han, Yugang Yu and Guiping Hu, “A dynamic newsvendor problem with goodwill-dependent demands and minimum commitment,” Omega, in press, 2018. 48: Katrina Christiansen, David Raj Raman, Guiping Hu, Robert Anex, “First-Order Estimates of the Costs, Input-Output Energy Analysis, and Energy Returns on Investment of Conventional and Emerging Biorenewable Feedstocks,” Biofuel Research Journal, in press, 2018. 47:  Goutham Ramraj, Zhengyang Hu, and Guiping Hu, “A Two-Stage Stochastic Programming Model for Production Lot-Sizing and Scheduling Under Demand and Raw Material Quality Uncertainties,” International Journal of Planning and Scheduling, in press, 2018. 46: Zhengyang Hu, and Guiping Hu, “A Multi-stage Stochastic Programming for Lot-sizing and Scheduling under Demand Uncertainty,” Computers & Industrial Engineering, Volume 119, May 2018, Pages 157-166. 45: Mohammad Rahdar, Lizhi Wang, Guiping Hu, “A Tri-Level Optimization Model for Inventory Control with Uncertain Demand and Lead Time“, International Journal of Production Economics, vol. 195(C), pages 96-105, 2018. 44: Shiyang Huang and Guiping Hu, “Biomass Supply Contract Pricing and Environmental Policy Analysis: An Agent-based Simulation Approach”, Energy, Vol.145 pp.557-566, 2018. 2017 43: Yihua Li and Guiping Hu “Shop Floor Lot-sizing and Scheduling with a Two-stage Stochastic Programming Model Considering Uncertain Demand and Workforce Efficiency,” Computers & Industrial Engineering, Vol 111, pp 263-271, 2017. 42:  Matt Goiffon, Aaron Kusmec, Lizhi Wang, Guiping Hu, and Patrick Schnable, “Improving Response in Genomic Selection with Optimal Population Value Selection: a Population-Based Selection Strategy,” vol. 206 no. 3, 1675-1682, Genetics, 2017. 41:  Qi Li, Guiping Hu, Talukder Zaki Jubery, and Baskar Ganapathysubramanian, “A Farm-level Precision Land Management Framework Based on Integer Programming”, 12(3): e0174680, Plos One, 2017. 2016 40: S. Huang, G. Hu, C. Chennault, L. Su, E. Brandes, E. Heaton, L. Schulte, L. Wang, and J. Tyndall, “An Agent-Based Simulation Model of Farmer Decision Making on Bioenergy Crop Adoption”, Energy, Vol 115 (1), pp 1188-1201, 2016. 39:  Y. Yu, X. Han, and G. Hu, “Optimal production for manufacturers considering consumer environmental awareness and green subsidies,” International Journal of Production Economics, Vol 182, pp 397-408, 2016. 38: Z. Hu, and G. Hu, “A two-stage stochastic programming model for lot-sizing and scheduling under uncertainty,” International Journal of Production Economics, Vol 180, pp 198-207, 2016. 37: Q. Li, and G. Hu. “Techno-economic analysis of biofuel production considering logistic configurations.” Bioresource Technology 206 (2016): 195-203. 2015 36: M. Fawzy, P. Componation, and G. Hu, “Stakeholders’ requirements assessment for biofuel production,” International Journal of Science and Research, in press, 2015. 35: Y. Li, G. Hu, and M. Wright, “An optimization model for sequential fast pyrolysis facility location-allocation under RFS2,” Energy, in press, 2015. 34: Y. Ye, N. Liu, G. Hu, and S. Zhan, “Follow-up sharing character-based optimal scheduling of resource distribution for post-event response in large-scale disasters,” Journal of System Science and System Engineering, in press, 2015. 33: Y. Li, C. Tseng, and G. Hu, “Is now a good time for Iowa to invest in cellulosic biofuels?: A Real Options approach considering construction lead times,” International Journal of Production Economics, Vol 167, 97-107, 2015. 32: Q. Li, Y. Zhang, and G. Hu, “Techno-economic analysis of advanced biofuel production based on bio-oil gasification,” Bioresource Technology, 191 (2015): 88-96. 31: N. Kazemzadeh and G. Hu, “Evaluation of the Impacts of Governmental Policies on the Biofuels Supply Chain Design under Uncertainty,” International Journal of Sustainable Economy, Vol 7, Issue 3, 203-219, 2015. 2014 30: Q. Li and G. Hu, “Supply Chain Design Under Uncertainty for Advanced Biofuel Production Based on Bio-oil Gasification,” Energy, 74 (2014): 576-584. 29: Y. Zhang, G. Hu, and R. Brown, “Life cycle assessment of commodity chemicals production from forest residue via fast pyrolysis,” The International Journal of Life Cycle Assessment, in press, 2014. 28: R. Tilakaratne, T. Brown, Y. Li, G. Hu, and R. Brown, “Mild catalytic pyrolysis of biomass for production of transportation fuels: a techno-economic analysis,” Green Chemistry, vol 16, 627-636, 2014. 27: Y. Zhang, G. Hu, and R. Brown, “Integrated supply chain design for commodity chemicals production via woody biomass fast pyrolysis and upgrading”, Bioresource Technology, in press, 2014. 26: L. Ou, T. Brown, R. Thilakaratne, G. Hu, and R. Brown, “Techno-economic Analysis of Co-located Corn Grain and Corn Stover Ethanol Plants”, Biofuels, Bioproducts and Biorefining, in press, 2014. 25: G. Hu, L. Wang, Y. Chen, and B. Bidanda, “An Oligopoly Model to Analyze the Market and Social Welfare for Green Manufacturing Industry”, Journal of Cleaner Production, in press, 2014. 24: M. Rahdar, L. Wang, and G. Hu, “Potential competition for biomass between biopower and biofuel under RPS and RFS2,” Applied Energy, in press, 2014. 23. L. Zhang, G. Hu, L. Wang, and Y. Chen, “A Bottom-up Biofuel Market Equilibrium Model for Policy Analysis”, Annals of Operations Research, in press, 2013. 22. N. Kazemzad, and G. Hu, “Optimization models for biorenery supply chain network design under uncertainty”, Journal of Renewable and Sustainable Energy, in press, 2013. 21. L. Zhang, and G. Hu, “Supply chain design and operational planning models for biomass to drop-in fuel production”, Biomass and Bioenergy, in press, 2013. 20. Y. Li, T. Brown, and G. Hu, “An optimization model for a thermochemical biofuel supply chain network design”, Journal of Energy Engineering, in press, 2013. 2013 19. Y. Zhang, G. Hu, and R. Brown, “Life cycle assessment for hydrogen and transportation fuels production from corn stover via fast pyrolysis”, Environmental Research Letters, Vol 8, 2013. 18. T. Brown, R. Tilakaratne, R. Brown, and G. Hu, “Regional differences in the economic feasibility of advanced biorefineries: fast pyrolysis and hydroprocessing”, Energy Policy, vol 57, 234-243, 2013. 17. Y. Zhang, T. Brown, G. Hu, and R. Brown, “Comparative technoeconomic analysis of biohydrogen production via bio-oil gasification and bio-oil reforming”, Biomass and Bioenergy, vol 51, 99-108, 2013. 16.  Y. Zhang, T. Brown, G. Hu, and R. Brown, “Techno-economic analysis of fast pyrolysis and upgrading facilities employing two depolymerization pathways”, Chemical Engineering Journal, vol 225, 895-904, 2013. 15.  M. Yang, G. Hu, “Market competition and social welfare analysis for E10 and E85 with a game theory model”, International Journal of Sustainable Economy, Vol. 5, No. 4, 2013. 14. T. Brown, R. Tilakaratne, R. Brown, and G. Hu, “Techno-economic analysis of biomass to transportation fuels and electricity via fast pyrolysis and hydroprocessing”, Fuel, 463-469, 2013. 13. Y. Zhang, T. Brown, G. Hu, and R. Brown, “Technoeconomic analysis of mono-saccharide production via biomass fast pyrolysis”, Bioresource Technology, 358-365, 2013. 12. Gaussin, G. Hu, S. Abolghasem, S. Basu, M.R. Shankar, B. Bidanda, “Assessing the Environmental Footprint of Manufactured Products: A Survey of Current Literature”, In press, International Journal of Production Economics, Vol 146, Issue 2, 2013. 2012 11. G. Hu, “Market and Social Welfare Analysis for Hybrid Sustainable Manufacturing Industry,” International Journal of Sustainable Manufacturing, Vol.2, No.4, pp.338 – 355, 2012. 10. T. Brown, Y. Zhang, G. Hu, R. Brown, “Technoeconomic Analysis of Biobased Chemicals Production via Integrated Catalytic Processing”, Biofuels, Bioproducts and Biorefining, Vol. 6, No. 1., pp. 73-87, 2012. 9. T. Brown, G. Hu, “Sensitivity Analysis of Government Incentive Programs for Drop-in Biofuel Production via Fast Pyrolysis”, Journal of Energy Engineering, Vol. 137, No. 2, pp. 54-62. 2012. 2011 8. G. Hu, L. Wang, S. Arendt, and R. Boeckenstedt, “An Optimization Approach to Assessing Self-Sustainability Potential of Food Demand in the Midwestern United States”, Journal of Agriculture, Food Systems, and Community Development, Vol 2 (1), pp. 1-13, 2011. 7. G. Hu, L. Wang, S. Arendt, and R. Boeckenstedt, “Analyze Sustainable, Localized Food Production System with a Systematic Optimization Model”, Journal of Hunger and Environmental Nutrition, Vol 2 (1), pp. 1-13, 2011. 6. G. Hu, L. Wang, B. Bidanda, “A Game Theory Model to Analyze Market Competition in Sustainable Production Industry”, International Journal of Sustainable Manufacturing, Vol 2 (2), pp. 161-179, 2011. 5. G. Hu, L. Wang, S. Arendt, and R. Boeckenstedt, “Towards a More Sustainable, Local Food Production System – From a System Modeling Perspective”, Journal of Hunger and Environmental Nutrition, 6: 125-127, 2011. 2009 4. G. Hu, L. Wang, B. Bidanda, “A Market Analysis on Green Production Lines Penetrating into Original Equipped Manufacturers”, International Journal on Sciences of Industrial and Systems Engineering and Management, vol. 3(3), p. 28-48, 2009. 3. G. Hu, B. Bidanda, “Modeling Sustainable Product Lifecycle Decision Support Systems”, International Journal of Production Economics, Vol. 122 (1), 366-375, 2009. 2. G. Hu, L. Wang, B. Bidanda, “Sustainable Manufacturing & Project Management Circa 2025″, Book Chapter, Project Management Circa 2025, 2009. 2008 1. G. Hu, L. Wang, S. Fetch, and B. Bidanda, “A Multi-objective Approach to Project Selection with Six-Sigma Criteria”,  International Journal of Production Research, 46(23), p. 6611-6625, 2008.