| A multi-objective approach to water and nutrient efficiency for sustainable agricultural intensification I Kropp, AP Nejadhashemi, K Deb, M Abouali, PC Roy, U Adhikari, ... Agricultural systems 173, 289-302, 2019 | 57 | 2019 |
| Benefits of sparse population sampling in multi-objective evolutionary computing for large-scale sparse optimization problems I Kropp, AP Nejadhashemi, K Deb Swarm and Evolutionary Computation 69, 101025, 2022 | 20 | 2022 |
| Evaluation of multi-and many-objective optimization techniques to improve the performance of a hydrologic model using evapotranspiration remote-sensing data MR Herman, JS Hernandez-Suarez, AP Nejadhashemi, I Kropp, ... Journal of Hydrologic Engineering 25 (4), 04020006, 2020 | 18 | 2020 |
| Evaluation of the impacts of hydrologic model calibration methods on predictability of ecologically-relevant hydrologic indices JS Hernandez-Suarez, AP Nejadhashemi, IM Kropp, M Abouali, Z Zhang, ... Journal of hydrology 564, 758-772, 2018 | 17 | 2018 |
| Impacts of municipal water–rainwater source transitions on microbial and chemical water quality dynamics at the tap CJ Ley, CR Proctor, K Jordan, K Ra, Y Noh, T Odimayomi, R Julien, ... Environmental Science & Technology 54 (18), 11453-11463, 2020 | 15 | 2020 |
| Improved evolutionary operators for sparse large-scale multiobjective optimization problems I Kropp, AP Nejadhashemi, K Deb IEEE Transactions on Evolutionary Computation, 2023 | 10 | 2023 |
| Harnessing machine learning techniques for mapping aquaculture waterbodies in Bangladesh H Ferriby, AP Nejadhashemi, JS Hernandez-Suarez, N Moore, J Kpodo, ... Remote Sensing 13 (23), 4890, 2021 | 10 | 2021 |
| Agricultural Innovization: An Optimization-Driven solution for sustainable agricultural intensification in Michigan I Kropp, AP Nejadhashemi, P Jha, JS Hernandez-Suarez Computers and Electronics in Agriculture 199, 107143, 2022 | 5 | 2022 |
| Minimizing expected deviation in upper-level outcomes due to lower-level decision-making in hierarchical multi-objective problems K Deb, Z Lu, I Kropp, JS Hernandez-Suarez, R Hussein, S Miller, ... IEEE Transactions on Evolutionary Computation, 2022 | 4 | 2022 |
| A machine learning framework for predicting downstream water end-use events with upstream sensors I Kropp, A Pouyan Nejadhashemi, R Julien, J Mitchell, AJ Whelton Water Supply 22 (7), 6427-6442, 2022 | 1 | 2022 |
| An evolutionary multi-objective approach to sustainable agricultural water and nutrient optimization IM Kropp Michigan State University, 2018 | 1 | 2018 |
| A drain spacing tool that estimates the optimum subsurface drain spacing for maximum profit E Ghane, AP Nejadhashemi, I Kropp Journal of the ASABE, 0, 2023 | | 2023 |
| Sparse Large-Scale Multi-Objective Optimization for Climate-Smart Agricultural Innovation IM Kropp Michigan State University, 2022 | | 2022 |
| Harnessing Machine Learning Techniques for Large-Scale Mapping of Inland Aquaculture Waterbodies in Bangladesh H Ferriby Michigan State University, 2021 | | 2021 |
| Sustainable Agricultural Intensification through Crop Water and Nutrient Management Optimization AP Nejadhashemi, I Kropp, K Deb, M Abouali, PC Roy, G Hoogenboom | | 2018 |
A. Pouyan NejadhashemiUniversity Research Foundation Professor, Michigan State UniversityVerified email at msu.edu
