Sadman Sabab is a Research Fellow at the South Asian Institute of Social Transformation (SAIST), where he applies his background in Electrical and Computer Engineering (ECE) to complex challenges in environmental health and geospatial science. A graduate of Rajshahi University of Engineering and Technology (RUET), Sadman utilizes the algorithmic precision gained from years of competitive programming to manage and interpret high-dimensional data structures. He joined SAIST to master the rigorous methodologies of formal scientific inquiry, bridging the gap between engineering theory and applied research.

At the Foundation, Sadman leads technical initiatives within the Environment and Climate Change units. He is proficient in the R programming language and PostgreSQL, focusing on implementing remote sensing methodologies to monitor environmental stressors. His work involves processing high-resolution raster datasets and conducting multivariate time-series analysis on global atmospheric data to track regional air quality trends. This synthesis of imaging data and statistical modeling allows him to transform raw environmental information into actionable scientific insights.

Beyond his computational work, Sadman is committed to the full lifecycle of research, including primary fieldwork and data integrity. He has conducted household surveys to assess physiological health metrics and is currently overseeing data-cleaning protocols for longitudinal studies in the Dinajpur district. By integrating his technical engineering foundation with hands-on research experience, Sadman is preparing for a future in Visual AI, where he aims to develop the next generation of perception technologies for autonomous navigation and "Physical AI" systems.