
Dedicated academic and Reader in Physics/Geophysics with a focus on Digital and Emerging Geospatial Technologies for environmental and resource management in West Africa. As an Eric and Wendy Schmidt Science African Faculty Postdoctoral Fellow at the University of Michigan, leading innovative projects that combine AI and Machine Learning for regional groundwater analysis. Experienced in developing curricula that bridge Science, Technology, and African Studies through computational methods. Recognized for strong work ethic, effective communication, and ability to build collaborative relationships to drive results.
i. Joseph Orojah Osumeje, Daniel Eshimiakhe, Adetola Sunday Oniku and Kolawole Muideen Lawal, (2024). Application of remote sensing and electrical resistivity technique for delineating groundwater potential in North Western Nigeria, Scientific Reports, (2024) 14:22299 | https://doi.org/10.1038/s41598-024-69633-8
ii. Joseph Orojah Osumeje, Daniel Eshimiakhe, Yusuf Bello, Kolawole Muideen Lawal (2023). Assessment of Open-software Resources in Python using Real Two-Dimensional Geophysical Model, Journal of Geology and Geophysics, 12(6):1-9. Open Access Journal, Published Online, DOI: 10.35248/2381-8719.23.12.1112.
iii. Osumeje J.O., Oniku, A.S., and Meludu, O.C., (2021). Analysis of Lineaments map of part of Maru Schist belt, Northwestern, Nigeria and its Implication for Mineral Exploration, FUDMA Journal of Sciences, 5(3): 355-362. Published by Federal University, Dutsai-Ma. DOI: https://doi.org/10.33003/fjs-2021-0503-721, ISSN online: 2616-1370, ISSN print: 2645 – 2944.
iv. Daniel Eshimiakhe, Raimi Jimoh, Joseph Orojah Osumeje, Kolawole Muideen Lawal, (2025). Assessment of RESipy module in delineation of kaolin formation deposits using electrical resistivity tomography, Discover Geoscience, (2025) 3:37, https://doi.org/10.1007/s44288-025-00144-3.
vi. Usman Ahmed Kehinde, Osumeje Joseph, Lawal Kolawole, Hassan Yusuf Adigun, Umar Mahmood, (2025). A preliminary assessment of north-eastern Nigeria's geothermal potential zones using land surface temperature, Science World Journal, Vol. 20(No 1) 2025.
https://dx.doi.org/10.4314/swj.v20i1.60, ISSN: 1597-6343 (Online), ISSN: 2756-391X.