Adeniran Ibrahim personal website

Welcome to Dr. Ade's Website 👋🏼

I am passionate about research that enhances our understanding of urban environments, particularly in managing the adverse effects of both anthropogenic and natural events. Harnessing remote sensing satellite data coupled with field and crowdsourced survey data, leveraging GIS, machine learning, and cloud computing.

My Research Interests includes

✅ Remote Sensing for Environmental Management
✅ Sustainable Urban Planning
✅ Artificial Intelligence & Big Data for Geospatial Applications
✅ Smart Buildings & Cities

Remote Sensing for Environmental Management

Using satellite data, UAV imagery, and field surveys, I apply remote sensing and geospatial techniques to analyze spatial patterns and tackle urban environmental challenges. My expertise includes urban heat island modeling, land use monitoring, urban vegetation management, and sustainable agriculture. Additionally, I develop innovative algorithms to enhance environmental management, delivering data-driven insights for sustainable cities and resilient ecosystems.

Sustainable Urban Planning

With the aid of geospatial analysis, urban modeling, and policy frameworks, I apply sustainable urban planning strategies to create resilient, livable, and environmentally responsible cities. My expertise includes land use optimization, transportation planning, green infrastructure development, and climate adaptation strategies to mitigate urban challenges.

Artificial Intelligence & Big Data for Geospatial Applications

I use AI, machine learning, and big data analytics to create innovative, data-driven solutions in fields like geospatial applications, hazard prediction, and workflow automation. My expertise includes predictive modeling, pattern recognition, and real-time data processing to extract valuable insights from large datasets.

Smart Buildings & Cities

I leverage geospatial technologies, IoT, and AI-driven analytics to enhance smart building design and urban infrastructure for sustainable and efficient cities. My expertise includes energy-efficient building management, intelligent transportation systems, and urban sustainability planning.

Highlights

Mar 8, 2025: Completed and Earned ESRI's Going Places with Spatial Analysis MOOC Course
Jan 24, 2025: Resume Appointment as Research Associate at the Remote Sensing Laboratory (RSL) in the department of Land Surveying and Geoinformatics, Hong Kong Polytechnic University
Jan 14, 2025: My Co-authored Journal article Titled "Space-Time Analysis of Urban Green Spaces' Disappearance in Ilorin, Nigeria" is available online (download link)
Nov 6, 2024: Third Journal article from my PhD research Titled "An improved machine learning-based model for prediction of diurnal and spatially continuous near surface air temperature" is available online (download link)
Nov 1, 2024: Attended and Passed my Final Ph.D. Thesis defence
Oct 3, 2024: Was selected to attend the CODATA Open science workshop in Beijing China, Fully funded

MY SKILLS

Academic Expertise

Reserch work & Graduate/Undergraduate Lecturing and Project Supervision: In acdition to Conducting ground breaking research in Remote Sensing nd Geoinfomatics, I Leverage the knowledge gained from esteemed institutions like the Federal University of Technology, Hong Kong Polytechnic University, and Queen's University Canada, I've instructed a diverse range of subjects. These include Computer Applications in Urban Planning, Planning Design, Fundamentals of Georeferencing, and Introduction to GIS.

GIS Analytics

Over 10 Years of Experience: Proficient in utilizing a variety of Geospatial analysis tools such as ArcGIS Pro, Google Earth Engine, ENVI, SNAP, and others. I employ these tools to analyze georeferenced and remotely sensed data, addressing environmental and business challenges effectively.

Machine Learning Development

Versatile Model Design: Skilled in developing machine learning models for various applications, from analyzing climate change to remote sensing applications. With over 3 years of experience, I excel in solving complex business problems through innovative machine learning solutions.

Interpersonal Relations

Global Experience: Having resided and worked both in the academia and the private companies/Non-governmental organizations across three continents in the past 10 years, I excel in building strong interpersonal relationships. I seamlessly integrate into diverse teams, fostering positive working dynamics and collaboration.

CERTIFICATES

Contact Info

Adeniran Ibrahim Ademola.
606N, Block Z, North Tower,
Department of Land Surveying and Geoinformatics,
Faculty of Construction and Environment,
Hong Kong Polytechnic University (PolyU),
Hung Hom, Kowloon, Hong Kong.

Email: ibrahim.adeniran@connect.polyu.hk