My foundational academic training began at the University of Dhaka, where I earned both a Bachelor of Social Sciences (BSS) with Honors and a Master of Social Sciences (MSS) in Public Administration. Prior to beginning my doctoral studies at Oregon State, I spent several years building a rigorous empirical research background in South Asia. From 2019 to 2021, I worked as a Research Assistant at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) - a globally recognized leader in public health research.
Following this, I served as a Research Associate at the Department of Economics within North South University. During this tenure, I contributed to the NSU-KGF research project titled "Assessing Adoption and Diffusion of Agricultural Innovations in Bangladesh." This was in collaboration with national and international institutions like Bangladesh Agricultural University, Curtin University, and the University of Western Australia. We targeted over 1,700 respondents including farmers, retailers, and state officials across multiple geographic divisions and analyzed quantitative and qualitative data to understand the factors that influenced farmers to adopt agricultural technologies.
Science and Technology Policy, AI and Robotics
We Robot Conference 2025
NSF Project: AI Policy Certificate Workshop #1
NSF Project: AI Policy Certificate Workshop #2
Paper Presentation on State-Level Policies around AI at MPSA 2026
AI Policy Module Workshop with Students
Since transitioning to Oregon State University (OSU) for my PhD in September 2023, my research portfolio expanded significantly.
I have collaborated extensively on several major federally funded initiatives, including National Science Foundation (NSF) projects such as Grounded Reasoning about Robot Capabilities for Law and Policy,Integrating Artificial Intelligence and Policy Competencies in Computational Learning to Educate First-Year Undergraduates, and the URSA Engage program at OSU focusing on student perspectives on large language models.
My scholarly output reflects a sustained engagement with contemporary governance challenges. My research has also crossed into interdisciplinary technical venues, including participation in the Law and Engineering focused We Robot Conference as well as the IEEE Frontiers in Education (FIE) Conference in addition to more traditional political science association annual meetings.
Dissertation
My dissertation research leverages a three-paper model to investigate how legislative bodies, higher education institutions, and future professionals navigate the rapid integration of Generative AI in education, bridging the gap between emerging technological innovation and evidence-based public policy design. Specifically, my work combines computational text analysis of state-level educational legislation, mixed-methods investigations into how students and faculty experience AI adoption at the university level, and National Science Foundation-backed research examining attitudes and regulatory acceptance amongst future engineers and policymakers.