I am a dual Ph.D. student in Biosystems Engineering and Computer Science Engineering at Michigan State University. I am fortunate to be advised by Dr. Pouyan Nejadhashemi and Dr. Parisa Kordjamshidi.
My primary research is multidisciplinary and lies at the intersection of Natural Language Processing (NLP), Recommender Systems, and Remote Sensing to solve challenging agricultural problems. For NLP, I am particularly focusing on Question and Answering, Information Retrieval, and Reading Comprehension. A major part of my research work also revolves around the development of Decision Support Tools at the Decision Support & Informatics Lab.
Banda, E., Rafiei, V., Kpodo, J., Nejadhashemi, A. P., Singh, G., Das, N. N., Kc, R., & Diallo, A. (2024). Millet yield estimations in Senegal: Unveiling the power of regional water stress analysis and advanced predictive modeling. Agricultural Water Management, 291. https://doi.org/10.1016/j.agwat.2023.108618.
Ferriby, H., Nejadhashemi, A.P., Hernandez-Suarez, J.S., Moore, N., Kpodo, J., Kropp, I., Eeswaran, R., Belton, B. and Haque, M.M., 2021. Harnessing Machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh. Remote Sensing, 13(23), p.4890.
Eeswaran, R., Nejadhashemi, A.P., Kpodo, J., Curtis, Z.K., Adhikari, U., Liao, H., Li, S.G., Hernandez-Suarez, J.S., Alves, F.C., Raschke, A. and Jha, P.K., 2021. Quantification of resilience metrics as affected by conservation agriculture at a watershed scale. Agriculture, Ecosystems & Environment, 320, p.107612.