Hello 👋🏼
My name is Ibrahim Adeniran, a dedicated PhD Candidate in the Department of Land Surveying and Geoinformatics at Hong Kong Polytechnic University, focusing on mitigating the effects of climate change through remote sensing and machine learning techniques. My research interests revolve around addressing issues related to the urban thermal environment, urban vegetation research, and coastal environment management.
Proficient in utilizing data from thermal infrared sensors on both sun-synchronized and polar satellites, I specialize in the modeling of land surface temperature and near-surface temperature. I also excels in integrating data from visible and near-infrared sensors to model urban vegetation.
With expertise in GIS, SNAP, ENVI, and other relevant software, I can effectively processes remotely sensed data. In addition, I am skilled in Python for developing algorithms and constructing machine learning models. Also, I can utilize Java for Google Earth Engine and proficiently visualize and present data using Tableau.
I am keen on collaborating on existing research projects and engaging in discussions that can lead to innovative research avenues. I am also available for lectures, seminars, presentations, and talks. Feel free to contact me for collaboration opportunities or discussions.
MY SKILLS
Academic Expertise
Graduate/Undergraduate Lecturing and Project Supervision: Leveraging 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.
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