Ali Elgendy

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MSc Student in Geoinformatics and Geospatial Data Science at University of Szeged, Hungary | Researcher and Teaching Assistant at Faculty of Science, Cairo University

I actively contribute as a dedicated Researcher and Teaching Assistant, specializing in Data Geoscience, Machine learning, Geographic Information Systems (GIS), and Environmental Geology within the Geology Department at Cairo University.

WORK EXPERIENCE
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Research and Teaching Assistant   

November 2022 – Present

Cairo University, Giza, Egypt

• Performed research relating to Machine learning, Remote sensing, GIS and Environmental Geology.
• Attend and observe classes of the courses: Remote sensing, Environmental Geology and Geostatistics.
• Support students in carrying out experimental and/or creative work in labs.
• Assist in grading the quantitative components of the course, weighted assessments such as assignments, quizzes, reports, and exams.

Geoscientist at EUG Project                                     

February 2020 – November 2022

GeoEnergy Petroleum Services, Cairo, Egypt

• Egypt Upstream Gateway (EUG) is an outcome of the Sector Modernization project that was launched in 2020.
• It is a unique and innovative national project for digitizing subsurface information and delivering a digital subsurface platform to ensure Egypt's subsurface data is kept evergreen. It will also promote Egypt's exploration and production potential worldwide.
• Tasks vary considerably depending on the area of geoscience we are working in all types of subsurface data management, database building, data quality control, data copying, reformatting with transcription, scanning all G&G physical records, digitizing for well logs and maps, coordinates conversion, composite well log generation and QC, lithology interpretation, seismic data vectorization and enhancement, seismic data processing and seismic interpretation.

Trainee Geologist   

September 2019 – December 2019

Al Amal Program, Cairo, Egypt

• It is a training program for top ranked fresh graduate geoscientists. Each year the top ranked group of graduates are selected from different universities to take part in the program’s activities.
• The graduates get the chance to meet and learn from many professional experts from multinational petroleum companies.
• Organized, prepared by EGS (Egyptian Geophysical Society) in Cooperation with EPEX and supported by SEG Sponsored by Shell, Apache Corporation, Apex, BP, Transglobe, Schlumberger, DEA, Kuwait Energy and Rock Hopper.

COURSES
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Esri Spatial Data Science: The New Frontier in Analytics

October 2023

IBM Data Science by IBM on Coursera   

 August 2023

• Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/K8225QHEQEZF

IBM Data Analyst by IBM on Coursera

     August 2023

• Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/45ZMSVM77ZKD

Applied Data Science by IBM on Coursera

     August 2023

• Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/5FGJN9KZR9JC

Data Science Fundamentals with Python and SQL by IBM on Coursera

     August 2023

• Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/Y6LU8JG3T4JR

Data Analysis and Visualization Foundations by IBM on Coursera

     August 2023

• Credential URL: https://www.coursera.org/account/accomplishments/specialization/certificate/44A4WHCGWR39

ArcGIS Pro in infrastructure projects ,2 months of training, Geomatics Solutions Academy

     June 2023 – July 2023

Diploma of Data Science: Machine Learning with Python, Institute of Management Professionals, Giza

     October 2022 — April 2023

PROJECTS
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Graduation Project | Soil Salinity Detection Using Satellite Remote Sensing: A Case Study from Siwa Oasis, Egypt.    

May 2019

• Designed and conducted a research project focused on detecting soil salinity levels in Siwa Oasis, Egypt, using satellite remote sensing techniques.
• Collected and analyzed remote sensing data to assess soil salinity variations across the study area.
• Employed geospatial analysis tools and software to process and interpret satellite imagery.
• Presented research findings through comprehensive reports and presentations.
• Demonstrated strong research and analytical skills in the field of environmental science and remote sensing.
• Accumulating Degree (GPA): 5.0 from 5.0 (Excellent).

RESEARCH PAPERS
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Enhanced Lithological Mapping in Arid Crystalline Regions Using Explainable AI and Multi-Spectral Remote Sensing Data.

• November 2024, Computers & Geosciences, Impact Factor: 4.2, Web of Science Q1. https://doi.org/10.1016/j.cageo.2024.105738

Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt’s Eastern Desert

• April 2025, Earth Systems and Environment, Impact Factor: 5.3,
  Web of Science Q1. https://doi.org/10.1007/s41748-025-00628-9  

Innovative Soil Classification approach for achieving Global Biodiversity Framework utilizing integrated data fusion of EMIT and multispectral satellite observations: Case Study of Imam Turki bin Abdullah Royal Reserve, Kingdom of Saudi Arabia.

• July 2025, Ecological Informatics, Impact Factor: 5.9,
  Web of Science Q1. https://doi.org/10.1016/j.ecoinf.2025.103123

CONFERENCES
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Innovative Soil Classification Using EMIT and Sentinel-2 Data with Advanced Machine Learning and Deep Learning in Imam Turki bin Abdullah Royal Natural Reserve, Saudi Arabia.

December 2024, AGU24 Washington, D.C., https://agu.confex.com/agu/agu24/meetingapp.cgi/Paper/1723764

(Last updated: Fri, 2025-09-12 01:21)