Registered user since Fri 22 Nov 2024
Saminur Islam is a 3rd-year Ph.D. candidate in Computer Science, deeply passionate about leveraging AI and machine learning to solve real-world challenges in education, healthcare, and business analytics. His research focuses on understanding complex human-computer interactions, designing pedagogical solutions tailored to students’ behaviors, and ensuring fairness and accountability in AI systems. Through his work, Saminur aims to empower educators and learners with adaptive, data-driven tools to thrive in an evolving digital landscape.
Before embarking on his doctoral journey, Saminur accumulated extensive professional experience as a software developer. He contributed to various impactful projects, including the development of real-time financial analytics platforms, web-based automation solutions for government services, and ERP systems customized for manufacturing operations.
In academia, Saminur has delved into diverse research projects such as drug-drug interaction prediction using deep learning, graph-based protein structure prediction, and adaptive machine unlearning techniques for student modeling. These endeavors reflect his commitment to interdisciplinary innovation and his drive to create practical, scalable solutions.
Saminur is passionate about collaborating with like-minded professionals to advance AI-driven technologies that foster equity, efficiency, and impact in education and beyond.
Contributions