Dr. Ahsan Jamil

I am a Ph.D. graduate in Water Science and Management with a minor in Computer Science from New Mexico State University, specializing in overlapping geoscientifc disciplines including remote sensing, geophysical modeling, machine learning, and GIS analysis. Proven ability to integrate advanced computational and geospatial techniques coupled with machine learning to support geoscience research particularly Aquifer mapping and hydrogeologic characterization. Committed to advancing geoscientific understanding through innovative methodologies, interdisciplinary collaboration, and field-to-model integration. Outside of science, I am an avid cricket enthusiast and keenly follow mega cricketing events; fond of south-asian, mediterranean cuisine.

• Ph.D. Water Science & Management, New Mexico State University, 2025
• M.S. Remote Sensing & GIS, Arid Agriculture University Rawalpindi, 2018
• B.S. Geophysics, Bahria University Islamabad, 2010

1. Yin, H., Carroll, K. C., Yuan, Y., Jamil, A., Rucker, D. F., Dai, Z., & Soltanian, M. R. (2025). Hybrid vision transformer with convolutional blocks approach for subsurface electrical resistivity tomography inversion. Journal of Geophysical Research: Machine Learning and Computation, 2, e2025JH000734
2. Yan, H., Khan,A.,Jamil, A., Abdeldjalil, B., Saidani, T., & Yacer, R. N. (2025). Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal areas Using GIS and Multi-Criteria Decision Making: A DeepLabV3+ Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
3. Xianglin, D., Tariq,A., Jamil, A., Aslam, R. W., Zafar, Z., Bailek, N., ... & Soufan, W. (2025). Advanced machine vision techniques for groundwater level prediction modeling geospatial and statistical research. Advances in Space Research, 75(3), 2652-2668
4. Duan, X., Jahangir, Z., Lu, L., Yasir, Q. M., Aslam, R. W., Ahmed, R., Jamil, A. ... & Alzahrani, H. (2025). Enhanced Land-Surface Temperature Recovery through Multi-Sensor Data Fusion and Spatial Resolution Improvement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
5. Duan, X., Haseeb, M., Tahir, Z., Jamil, A. et al. A geospatial and statistical analysis of land surface temperature in response to land use land cover changes and urban heat island dynamics. Sci Rep 15, 4943 (2025). https://doi.org/10.1038/s41598-025- 89167-x
6. Jiazhe, W., Xinrui, D., YanCheng, S., Xiangtian, Z., Gaffar, B., Nasir, Jamil, A.,., ... & El-Askary, H. (2024). Multi-Sensor Data Fusion and GIS-DRASTIC Integration for Groundwater Vulnerability Assessment with Rainfall Consideration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
7. Jamil, A., Rucker, D. F., Lu, D., Brooks, S. C., Tartakovsky, A. M., Cao, H., & Carroll, K. C. (2024). Comparison of machine learning and electrical resistivity arrays to inverse modeling for locating and characterizing subsurface targets. Journal of Applied Geophysics, 229, 105493.
8. Zaman-ul-Haq, M., He, M., Kanwal, A., Amir, S., Akhtar, N., Saqib, Z., Jamil, A., & Bokhari, S. A. (2024). Remote Sensing Based Assessments of Socioeconomic Factors for Urban Ecological Resilience in the Semi-Arid Region. Rangeland Ecology & Management
9. Feng, L., Khalil, U., Aslam, B., Ghaffar, B., Tariq, A., Jamil, A., ... & Soufan, W. (2024). Evaluation of soil texture classification from orthodox interpolation and machine learning techniques. Environmental Research, 246, 118075.
10. Ikard, S. J., Carroll, K. C., Rucker, D. F., Teeple, A. P., Tsai, C. H., Payne, J. D., ... & Jamil, A. (2023). Geoelectric Monitoring of the Electric Potential Field of the Lower Rio Grande before, during, and after Intermittent Streamflow, May–October, 2022. Water, 15(9), 1652.
11. Zheng, X., Sarwar, A., Islam, F., Majid, A., Tariq, A., Ali, M., Jamil, A. & Soufan, W. (2023). Rainwater harvesting for agriculture development using multi-influence factor and fuzzy overlay techniques. Environmental Research, 238, 117189.
12. Tariq, A., Ali, S., Basit, I., Jamil, A., Farmonov, N., Khorrami, B., ... & Hatamleh, W. A. (2023). Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data. Groundwater for Sustainable Development, 23, 100990.
13. Tariq, A., Jiango, Y., Lu, L., Jamil, A., Al-ashkar, I., Kamran, M., & Sabagh, A. E. (2023). Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scars. Geomatics, Natural Hazards and Risk, 14(1), 2190856.
14. Li, P., Tariq, A., Li, Q., Ghaffar, B., Farhan, M., Jamil, A., ... & Freeshah, M. (2023). Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone. International Journal of Digital Earth, 16(1), 3105-3124
15. Ali, S., Khorrami, B., Jehanzaib, M., Tariq, A., Ajmal, M., Arshad, A.,Jamil, A & Khan, S. N. (2023). Spatial downscaling of GRACE data based on XGBoost model for improved understanding of hydrological droughts in the Indus Basin Irrigation System (IBIS). Remote Sensing, 15(4), 873.
16. Majeed, M., Tariq, A., Haq, S. M., Waheed, M., Anwar, M. M., Li, Q., ... & Jamil, A. (2022). A detailed ecological exploration of the distribution patterns of wild Poaceae from the Jhelum District (Punjab), Pakistan. Sustainability, 14(7), 3786.
17. Bokhari, R., Shu, H., Tariq, A., Al-Ansari, N., Guluzade, R., Chen, T., Jamil, A. and Aslam, M., 2023. Land subsidence analysis using synthetic aperture radar data. Heliyon, 9(3).
18. Amin, M., Khan, M. R., & Jamil, A. (2019). Quantification of Groundwater Storage Variations and Stressed Areas Using Multi-temporal GRACE Data: A Case Study of Upper Indus Plains, Pakistan. In Advances in Remote Sensing and Geo Informatics Applications: Proceedings of the 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), Tunisia 2018 (pp. 299-304). Springer International Publishing.
19. Tariq, A., Ali, S., Basit, I., Jamil, A., Farmonov, N., Khorrami, B., ... & Hatamleh, W. A. (2023). Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data. Groundwater for Sustainable Development, 23, 100990.