Hi, I’m
Adeniran Ibrahim
Anchorage,AK
Summary
Result-driven Geospatial Analyst with 10+ years of experience in GIS, remote sensing, and spatial data analysis. Skilled in processing and interpreting complex geospatial datasets using ArcGIS Pro and ERDAS Imagine to support data-driven decision-making. Proven ability to ensure data quality, streamline workflows, and deliver actionable insights across multidisciplinary projects.
Overview
10
years of professional experience
1
Certification
Work History
Geocomputing Lab
Post Doctoral Fellow
04.2025 - Current
Job overview
- Led UAV-based data collection using CH4 sensors (TDLAS), LiDAR, and photogrammetry for environmental and infrastructure monitoring.
- Developed and deployed algorithms in Python and ArcGIS Pro to process LiDAR point clouds, methane data, and high-resolution imagery into actionable geospatial insights.
- Built and trained deep learning models (TensorFlow/PyTorch) for automated abandoned oil well detection and building damage assessment.
- Designed efficient remote sensing workflows, integrating geospatial analytics, data fusion, and machine learning for enhanced decision support.
- Mentored and supervised team members, ensuring quality standards in geospatial data processing and analysis.
Remote Sensing Laboratory
Research Associate
07.2023 - 04.2025
Job overview
- Conducted forest surveys with LiDAR backpack and hyperspectral sensors to map tree geometry and vegetation spectra.
- Developed and optimized Python-based workflows (ArcGIS Pro, ENVI) for LiDAR and hyperspectral data processing.
- Built deep learning models (TensorFlow/PyTorch) to estimate forest carbon stock, improving estimation accuracy for government forestry planning.
- Collaborated with the Hong Kong Planning Department to deliver actionable geospatial insights for sustainable land management.
- Contributed to an ocean water quality project using ENC/DNC data for field mapping, spatial analysis, and visualization.
Geographic Information and Spatial Analysis Lab
Visiting Scholar
10.2022 - 03.2023
Job overview
- Developed and refined deep learning models (TensorFlow/PyTorch) for object segmentation using satellite imagery.
- Processed, analyzed, and visualized geospatial data using GDAL, GeoPandas, and Matplotlib.
- Reproduced and benchmarked machine learning models to evaluate new segmentation algorithms.
Toyin Ayinde & Associates
GIS Analyst
07.2015 - 07.2020
Job overview
- Analyzed land use plans to optimize infrastructure and service distribution for new development projects across Lagos State.
- Coordinated drone-based aerial imagery acquisition; orthorectified and processed data for land use/land cover analysis to support city master.
- Built a centralized geospatial data repository for cross-departmental project access and integration.
Education
Hong Kong Polytechnic UniversityHong Kong
Doctor of Philosophy from Geoinformatics
12.2024
University Overview
(Top 55 university in the world)
Federal University of Technology, AkureNigeria
Master of Technology from Urban Planning
07.2021
University Overview
- Best graduating Student
- GPA: 4.54/5.0
Federal University of Technology, AkureNigeria
Bachelors of Technology from Urban Planning
09.2016
University Overview
- Best graduating Student
- GPA: 4.54/5.0
Skills
- Geographic Information Systems (GIS)
- Spatial Analysis & Modeling
- Machine Learning for Spatial Data Analysis
- Deep Learning for Remote Sensing & LiDAR Classification
- Object Detection & Feature Extraction
- Remote Sensing & Image Interpretation
- Geospatial Data Management
- Geodatabase Design (Esri, PostGIS, etc)
- Python / SQL for Geospatial Analysis
- ArcGIS Pro / ArcGIS Online / QGIS
- Web Mapping & Dashboard Development
- Spatial Data Visualization & Cartography
- Data Integration & ETL Processes
- Data Quality Assurance & Validation
- Geostatistical Analysis
- Spatial Decision Support
- Workflow Optimization & Automation
- Project Management & Coordination
- Stakeholder Communication & Reporting
- Requirements Gathering & Solution Design
- Technical Training & Knowledge Transfer
- Cross-Functional Collaboration
- Strategic Problem Solving
- Software & Tools: ArcGIS Pro/ ArcMap, Erdas Imagine, Pix4D / Agisoft Metashape, CloudCompare, LAStools / PDAL, Tableau, Python
Certification
- Advanced Google Data Analyst
- Nano Degree in AI Programming with Python
Timeline
Post Doctoral Fellow
Geocomputing Lab
04.2025 - Current
Research Associate
Remote Sensing Laboratory
07.2023 - 04.2025
Visiting Scholar
Geographic Information and Spatial Analysis Lab
10.2022 - 03.2023
GIS Analyst
Toyin Ayinde & Associates
07.2015 - 07.2020
Hong Kong Polytechnic University
Doctor of Philosophy from Geoinformatics
Federal University of Technology, Akure
Master of Technology from Urban Planning
Federal University of Technology, Akure
Bachelors of Technology from Urban Planning
Award and Honors
2024 CODATA Chinese National Committee workshop sponsorship award US$3,000, 2023, Sensors + Imaging Student Conference Support US$1,000, 2022, Visiting PhD Student Fellowship, University Grant Council, US$ 7,400, 2021, Best Graduating Student (MTech), Department of Urban and Regional Planning, FUTA, 2020, PhD Studentship Funding, Department of Land Surveying and Geoinformatics, 2018, Appreciation Award, Toyin Ayinde and Associate., 2016: University Prize - Prof. J.B. Falade Prize for being the Best Graduating Student (BTech), Department of Urban and Regional Planning (URP), FUTA, 2016, University Prize – for being the First Student to Graduate with a First Class in the (25 years) History of the Department, URP, FUTA
Activities
Soccer, Chess