MW CASC Postdoctoral Associate
Abu Kibria is an Ecological Economist with expertise in applying Data Science tools for econometric modeling in sustainability research. His work integrates complex environmental, economic, and social datasets, utilizing advanced statistical methods, machine learning (ML), and deep learning (DL) algorithms in Python to extract actionable insights.
His primary research focuses on econometric modeling of ecosystem services and their implications for human well-being amid environmental as well as anthropogenic challenges. Currently, Kibria is working on the project "Critical Knowledge Gaps in Climate Change Risks to Wetlands and Wetland Ecosystem Services in the Midwest." This research addresses key uncertainties regarding wetland resilience, particularly in species restoration, hydrological shifts, and ecosystem service sustainability. He is leveraging advanced statistical analyses and existing datasets to assess wetland vulnerability, adaptation strategies, and management practices that enhance resilience in a changing climate.
Kibria completed his doctoral degree at The Australian National University with a specialization in Ecological Economics.