Summary
Mahfuzur Rahman is a PhD-trained computer scientist and lecturer with over 15 years of teaching experience and a decade of research and applied work in machine learning and deep learning. He blends hands-on instruction in systems and algorithms with specialized research on explainable AI for neuroimaging, aiming to bridge human-machine teaming for clinical and engineering problems. At Georgia State University he has combined graduate mentorship and independent postdoctoral research with practical data-science internships that produced reproducible fMRI pipelines and ICA-based diagnostic analyses. Comfortable across Python, Matlab, R, C/C++, and modern ML frameworks, he develops new interpretability methods and evaluation frameworks to make complex models clinically actionable. Notably, he pairs rigorous theoretical interests (theory of computation, optimization) with pragmatic tool-building—helping students and collaborators turn opaque models into validated insights about brain disorders.
10 years of coding experience