Mr. Ahsan Jamil | New Mexico State University | United States
Ahsan Jamil is a PhD candidate in Water Science & Management at New Mexico State University 🌎, specializing in machine learning and geospatial data science 🖥️. He is focused on applying computational geoscience and satellite imagery analysis 🌐 to address earth and environmental challenges. With expertise in data-driven insights and problem-solving, Ahsan is passionate about sustainable environmental solutions 🌱 and is an effective science communicator 📚, committed to raising awareness of critical environmental issues.
Professional Profile
Scopus
Suitability
Ahsan Jamil is highly deserving of the Best Researcher Award due to his exceptional contributions to the field of Water Science & Management 🌊, particularly in machine learning and geospatial data science 🧠. His cutting-edge research, such as the development of ML-based geophysical inversion algorithms for hydrogeological characterization, showcases his ability to solve complex environmental challenges using innovative methodologies 🌍. Ahsan has consistently demonstrated leadership in his research projects, including his work with the U.S. Department of Energy 🌟, and his scientific articles have been published in renowned journals. He is a committed scholar who continuously strives for professional development, as evidenced by his numerous prestigious certifications 📜 and awards 🏆, such as the Baldwin and Reichert Scholar Award.
Education
Ahsan Jamil is currently pursuing his PhD in Water Science & Management at New Mexico State University 🏫, with a focus on geophysical electrical resistivity algorithms 🔬.
Professional
Ahsan Jamil has actively contributed to advancing his skills through certifications in remote sensing, big data analysis, and machine learning 📊. His participation in programs such as NASA’s Advanced Remote Sensing 🌌 and UNU-INWEH’s Big Data for Water 🌊 highlights his commitment to continued professional growth. He has also been recognized with prestigious awards including the Baldwin and Reichert Scholar Award 🏆 and the Encompass Scholar title by the American Society of Agronomy 🌱.
Experience
He has an MSc in Remote Sensing & GIS from PMAS-AAUR, Pakistan 🎓 and a BSc in Geophysics 🧭 from Bahria University, Islamabad. Ahsan’s career includes roles as a Graduate Research Assistant at NMSU, GIS Analyst at Wateen Telecom 🌍, and Visiting Lecturer in Pakistan 🎓, as well as freelance GIS consulting 🌐.
Research Focus
Ahsan Jamil’s research is centered on computational geoscience, with a particular focus on machine learning 🧠 and geospatial data science 🌍. He utilizes satellite imagery 📸 and advanced data analytics to solve critical earth and environmental challenges 🌱. His work contributes to understanding water management 💧, hydrogeological characterization 🏞️, and sustainable environmental solutions 🌍, making significant strides in both academia and practical applications.
Awars and Honors
- Baldwin and Reichert Scholar Award, New Mexico State University (2024).
- Encompass Scholar (2021–2022), American Society of Agronomy.
- Media Fellowship, ICIMOD (2015).
- Vice Chancellor Talent Scholarship, PMAS-AAUR (2017).
Publication top notes
Bokhari, R., Shu, H., Tariq, A., Jamil, A., Aslam, M. (2023). Land subsidence analysis using synthetic aperture radar data. Heliyon, 9(3), e14690. [Link Disabled]
Tariq, A., Ali, S., Basit, I., Junaid, M.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. [Link Disabled]
Zheng, X., Sarwar, A., Islam, F., Aslam, M., Soufan, W. (2023). Rainwater harvesting for agriculture development using multi-influence factor and fuzzy overlay techniques. Environmental Research, 238, 117189. [Link Disabled]
Feng, L., Khalil, U., Aslam, B., Aslam, M., Soufan, W. (2024). Evaluation of soil texture classification from orthodox interpolation and machine learning techniques. Environmental Research, 246, 118075. [Link Disabled]
Zaman-ul-Haq, M., He, M., Kanwal, A., Mubbin, M., Bokhari, S.A. (2024). Remote Sensing-Based Assessments of Socioeconomic Factors for Urban Ecological Resilience in the Semi-Arid Region. Rangeland Ecology and Management, 96, 12–22. [Link Disabled]