Abdullah Al Zabir

About

Abdullah Al Zabir is an agribusiness researcher, data analyst, and agricultural development professional whose work bridges academic research, agricultural economics, and digital education. He currently serves as a professional within the Seed and Horticulture Wing of the Bangladesh Agricultural Development Corporation (BADC), and is pursuing his Ph.D. in the Doctoral Program in Agribusiness Management within the Faculty of Food, Agriculture, and Natural Resources at the Asian Institute of Technology (AIT) in Thailand.

With extensive field experience in Bangladesh, his work includes comprehensive evaluations of agricultural systems, such as assessing climate vulnerability and adaptive behaviors in wetlands of Bangladesh, and analyzing farming households in Bangladesh. A central theme of his work is synthesizing complex empirical data into actionable policy frameworks, including contributing to regional projects focused on regenerative agriculture practices in Southeast Asia.

He is an author who writes and publishes educational reference books dedicated to simplifying research methodologies and data analysis for early-stage students. His empirical research frequently utilizes specialized quantitative software packages, including IBM SPSS and SmartPLS, to execute structural equation modeling, econometric models, and regression diagnostics. Furthermore, he leverages machine learning and deep learning techniques to facilitate data-driven decision-making in agriculture.

He contributes actively to the academic community through sustained mentorship. He is deeply committed to creating open-access digital content, designing instructional infographics, and formulating step-by-step guides to teach statistics and academic paper structuring.

Research Interests: Agribusiness Management, Applied Econometrics, Machine Learning & Deep Learning in Agriculture, Climate Vulnerability & Adaptation, Regenerative Agriculture, Structural Equation Modeling, Educational Technology, Research Methodology.