Dr. Zeshan Khan
Dr. Zeshan Khan
Assistant Professor
Education
MS (Computer Science), Capital University of Science and Technologies, 2015
BS (Computer Science), Muhammad Ali Jinnah University, Islamabad Campus, 2012
Summary
Dr. Zeshan Khan is an Assistant Professor at the National University of Computer and Emerging Sciences (NUCES). His expertise spans computer science, software engineering, and artificial intelligence, with research in medical image analysis, resource-efficient machine learning, and generative AI. He has published widely with a research impact factor of 24+, supervised 6 MS theses and over 50 BS projects across AI, software engineering, and immersive technologies. A dedicated teacher, Dr. Khan has taught 16 courses, ranging from algorithms and databases to quantum machine learning. He contributes actively as a reviewer for leading journals and conferences and has organized international events such as ICET. Alongside teaching and research, he mentors students in programming competitions like ICPC and supports innovative, industry-relevant projects. His background also includes professional work in backend development, web technologies, and cloud optimization, allowing him to bridge academia and industry.
Publications
Journal Papers
- A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging, Medical image analysis
Conference Papers
- GADNN: Gender and Age Detector Neural Network, 2023 18th International Conference on Emerging Technologies (ICET)
- Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning., CLEF (Working notes)
- Depth-Wise Separable Atrous Convolution for Polyps Segmentation in Gastro-Intestinal Tract., MediaEval 2020 Workshop, MediaEval 2020