Hatim M. E. Geli
Dr. Geli’s background is in Civil and Environmental Engineering. He focuses on hydrology and remote sensing applications and systems modeling. Dr. Geli’s research addresses water resources management and agricultural production challenges common to New Mexico (NM) and the western United States. His research vision is to enhance the resilience and sustainability of coupled social and environmental systems through understanding their complex interactions and response to climate change.

Fuad Ahmad
Fuad Ahmad is a Ph.D. student in Computer Science, drawn to Machine Learning, Data Mining, and what Large Language Models can do with messy, real-world data. He's currently teaching LLMs to turn dense weather and drought reports into clear, actionable summaries, exploring how few-shot learning can make them more accurate and trustworthy.

Islam M. Omar
Islam is a Ph.D. Student in electrical and computer engineering. He joined NMSU in 2023. His research focuses on drought impacts forecasting using Machine Learning. Co-Advised by Dr. Hamid Badawy and Dr. Mona Elshinawy in the Electrical and computer engineering department.

Jiefei Liu
Jiefei is a Ph.D. Student in Computer Science. His research focuses on federated learning, generative AI, and unseen threat detection for building robust and privacy-preserving cybersecurity systems.

Atikul Hoque
I am a Ph.D. Student in Geography. My research focuses on the use of remote sensing and geospatial analytics to monitor vegetation dynamics across dryland ecosystems. I develop and apply geospatial approaches for woody plant mapping, drought monitoring, and ecosystem assessment using satellite and aerial imagery. The broader goal of my work is to improve our understanding of vegetation responses to environmental change and support sustainable land management.

Shreesha Mishra
I am currently pursuing a Master of Science in Range Science. My research focuses on assessing long-term rangeland degradation and vegetation change across New Mexico from 1982–2022 using the TSS-RESTREND approach. This method helps to separate climate-driven vegetation variability from human-induced land degradation, allowing for the identification of areas experiencing genuine ecological decline or recovery.

Maha Fara Fatema
Degree Pursuing: Master of Science in Water Science and Management (Concentration: Water Informatics). My research focuses on utilizing remote sensing, geospatial analysis, and machine learning techniques to improve soil moisture estimation at finer spatial resolutions. By integrating satellite observations, environmental datasets, and data-driven models, I develop high-resolution soil moisture products that support agricultural water management, drought monitoring, and hydrological applications. My work contributes to advancing water resources management through innovative water informatics approaches.

Stephen Villanueva
I am a PhD student in computer science. My research is in deep learning and data mining, and I have a particular interest in natural language processing. My current work focuses on relationship and spatial entity extraction.

Adiam Weldemariam
Adiams was an MS student in Water Science and Management between 2023-2025. Her research focused on assessing Historic surface and ground water depletion in Rincon valley during the period 1952-2022.

Kamini Yadav
Dr. Yadav was a postdoctoral researcher at NMSU between 2019-2021. She was working on modeling and assessment of FEWS and assessment. She is currently a researcher at the US Forest Service.

Maria Begum
Maria was an MS student in Water Science and Management. She joined NMSU in 2020. Her research  focused on assessing water footprint of major crops in New Mexico using statistical and crop growth models.

Kidane A. Amar
Kidane was an MS student in Water Science and Management. He joined NMSU in 2021. His research focused on climate change impacts on crop yield prediction using the DSSAT crop growth model.

Shahriar Rahman Dipon
Shahriar was an MS student in Computer Science. He joined NMSU in 2020. His research focused on drought impact prediction using machine learning. Co-Advised with Dr. Huiping Cao at the Computer Science department.

Ahraf J. Zaied
Dr. Zaied was a PhD student in Range Sciences between 2017 – 2021. He earned his PhD degree in 2021 and his dissertation on assessing climate change impacts on New Mexico beef cattle production systems. He is currently a faculty member at Omer Al Mokhtar University, Libya.

Melakeneh G. Gedefaw
Dr. Gedefaw was a PhD student in Water Science and Management between 2017 – 2021. He earned his Ph.D. in 2021 and his dissertation was on land use land cover change detection and assessment of New Mexico rangeland productivity. He is currently a postdoctoral researcher at Northern Arizona University.