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Hire Alexander T.

Israel

USD 40 /hr

PhD Researcher | Remote Sensing & GeoAI | Earth Observation, ML/DL, Multidisciplinary

Profile Summary

I am a PhD researcher in Environmental Engineering with expertise in remote sensing, GeoAI, machine learning, and deep learning for satellite data analysis. I work with high-resolution and time-series imagery (e.g., PlanetScope, NAIP) for applications in urban analysis, vegetation mapping, climate studies, and precision agriculture. I have hands-on experience with Python, Google Earth Engine, ArcGIS, and QGIS, and have contributed to projects on vegetation dynamics, drought monitoring, land suitability, and carbon modeling using optical and SAR data. I have published research in high-impact journals, including IEEE, Springer, and Elsevier, and I bring strong experience in spatial modeling, image classification, and data-driven analysis across multidisciplinary applications.

Subject Matter Expertise

• ☆ Remote Sensing
• ☆ Environmental Engineering and Technology
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Machine Learning
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Deep Learning
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Statistical Computing
• ☆ Spatial Statistics
• ☆ Trend Analysis
• ☆ Earth & Atmospheric Science
• ☆ Geographic Information Systems (GIS)
• ☆ Environmental Science
• ☆ Ecology
• ☆ Environmentalism
• ☆ Python
• ☆ SPSS
• ☆ Excel
• ☆ Tensorflow
• ☆ Scikit-learn
• ☆ Peer Review
• ☆ Research Methodology

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Meta-Research, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Data Mining, Data Cleaning, Data Processing

Work Experience

PhD student

Ben-Gurion University of the Negev

October 2022 - Present

Associate Researcher of Remote Sensing(LLevel-1)

Space Science and Geospatial Institute -Ethiopia(SSGI)

February 2020 - October 2022

Education

M.sc in Geo-informatics

Adama Science and Technology University - Ethiopia

October 2016 - August 2019

Certifications

• BIG DATA ANALYSIS FOR WATER-RELATED APPLICATIONS FOR WATER-RELATED APPLICATION COURSE ON THE WATER LEARNING CENTER (WLC)

  The United Nations University Institute for Water, Environment and Health (UNU-INWEH)

  https://wlc.unu.edu/certificates/732c058245304b1fb4f4742078b845fc

  September 2023 - Present

Publications

JOURNAL ARTICLE

Mordechai Yaakov, Alexander Takele Muleta, Julius Bamah, Oz Kira (2025). In-Season Corn Yield Prediction Using Satellite-Derived Solar-Induced Chlorophyll Fluorescence and Machine Learning Algorithms . IEEE Transactions on Geoscience and Remote Sensing.

Alexander Takele Muleta, Julius Bamah, Shirley Bushner, Oz Kira (2025). The Impact of Image Spatial Resolution and Machine Learning Algorithm on Urban Vegetation Classification: Focus on Data Loss and Misclassification . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Alexander Takele, Haileyesus Belay Lakew, Gizachew Kabite (2022). Does the recent afforestation program in Ethiopia influenced vegetation cover and hydrology? A case study in the upper awash basin, Ethiopia . Heliyon.

Seifu Woldemichael Busho, Getinet Teshome Wendimagegn, Alexander Takele Muleta (2021). Quantifying spatial patterns of urbanization: growth types, rates, and changes in Addis Ababa City from 1990 to 2020 . Spatial Information Research.