Presenting TAG NG to the world
Presenting TAG NG to the world at the IJCAI 22.
I am a Doctoral Candidate and Senior Geospatial Analyst at the State University of New York College of Environmental Science and Forestry (SUNY ESF). My research focuses on applying geospatial technologies, statistics, and machine learning to understand forest ecosystems, climate change impacts, and sustainable land management. I have presented my work at international conferences and published in respected scientific outlets.
Beyond my academic pursuits, I am passionate about mentoring young scientists and driving positive change through environmental leadership initiatives. I am also by God’s grace the founder of TAG NG, a leadership organization empowering young people across Africa. Outside of research and teaching, I enjoy exploring new places, engaging in community development projects, and sharing knowledge on the practical applications of GIS and remote sensing.
PhD Environemtnal Science (In View)
SUNY ESF
MS Forestry and Environmental Science
Università degli Studi della Tuscia, Viterbo, Italy.
MS Forest Biometrics and Information System
University of Ibadan, Nigeria
Specifically, my work explores areas such as forest measurements and growth modeling, carbon farming, carbon sequestration, and forest ecology. I am particularly interested in how quantitative methods and geospatial technologies can be used to assess forest productivity, evaluate ecosystem services, and design management practices that balance ecological sustainability with economic needs. My goal is to contribute research that not only advances scientific understanding but also provides practical solutions for managing forests in a changing climate.
Please reach out to collaborate 😃
Presenting TAG NG to the world at the IJCAI 22.
This transformation begins in the mind. When we allow the Word of God to shape our thoughts, attitudes, and decisions, our lives take on a new dimension.
Learn the basics of ggplot2 package for your numerous data visualization task.
This post contains a lot of resources on forestry data analysis.