Summary

Zeshan did his PhD from National University of Computer and Emerging Sciences (NUCES). His research expertise lies in medical image analysis, particularly focused on gastrointestinal tract abnormalities using state-of-the-art machine learning and deep learning techniques. He has honed his teaching skills across diverse academic settings, including Muhammad Ali Jinnah University, Riphah International University, and various NUCES campuses. Before transitioning into academia, Zeshan worked as a backend developer, where he developed web applications, data-gathering bots, and implemented SEO/SMO strategies. This experience provided him with a strong understanding of the practical impact of technology on real-world applications. In his academic career, Zeshan has actively participated in Higher Education Commission (HEC)-funded projects, where he gained valuable experience in research collaboration, project management, and the development of advanced algorithms, particularly those that are energy-efficient and deployable on low-power devices. His work in this area extends to multiple BS final year projects and research papers that focus on resource-efficient machine learning techniques. His current role allows him to further expand his research, contribute to the academic community, and collaborate on cutting-edge technology projects.