Nadia Gammoudi | climate Award | Best Researcher Award

Ms. Nadia Gammoudi, climate Award, Best Researcher Award

PHD at the Institute of Geography and Earth Sciences, Hungary

Nadia is a dedicated PhD student at the Institute of Geography and Earth Sciences, Hungary. With a master’s degree in Climate Change and Adaptation, she excels in geospatial analysis and experimental geomatical analysis. Fluent in Arabic, English, and French, with basic knowledge of Deutsch, Nadia possesses strong communication skills. Her research focuses on original contributions to prestigious journals, demonstrating her passion for expanding knowledge boundaries. With a versatile skill set including programming languages like Python and MATLAB, as well as proficiency in various geological and remote sensing software, Nadia is poised to make significant contributions to the field of geography and earth sciences.

Professional Profiles:

Scopus profile

ResearchGate profile

Education:

PhD student Institute of Geography and Earth Sciences, Hungary, 2018-2024 Research master degree in Climate Change and Adaptation (Tempus) Faculty of Sciences of Gabes, 2014-2015 Professional Master in Geomaterials Valuation Faculty of Sciences of Gabes, 2011-2012 Fundamental License in Natural Sciences and Applications Faculty of Sciences of Gabes, 2009-2010

SKILLS

Office Software: Word, Excel, PowerPoint, LaTeX Programming Languages: Python, MATLAB Geospatial Analysis: Screen3, Marplot-Aloha, Hysplit model, Hydrobal, MODFLOW, SeaDas Geological Design Tools: CorelDraw package, Rockworks Remote Sensing Software Packages: ENVI, ERDAS, ArcGIS, SNAP, Global Mapper Geochemical Laboratory Tools: SEM, XRD

Research Focus:

Smida, Tarki, Gammoudi, and Dassi primarily focus their research on the assessment and management of groundwater resources, particularly in the context of groundwater vulnerability and pollution hazard. Their work involves the integration of Geographic Information Systems (GIS), multicriteria analysis, and artificial neural networks (ANN) to develop robust models for evaluating groundwater quality and susceptibility to contamination. Specifically, their critical review examines the effectiveness of generic and modified DRASTIC models in assessing groundwater vulnerability in the Braga shallow aquifer of Central Tunisia. Their research contributes significantly to enhancing our understanding of hydrogeological processes and facilitating informed decision-making for groundwater protection and management in water-stressed regions.

 

Publications (TOP NOTES)

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