a Postdoctoral Fellow in Biomedical Engineering at Shenzhen Technology University, China, with expertise in Computer Vision, Medical Image Processing, Natural Language Processing (NLP), and Medical Image Segmentation. He holds a PhD in Information and Communication Engineering (USTC, China, 2018–2022, funded by the Chinese Government Scholarship) and two MSc degrees (Computer Engineering, Near East University; Computer Science, University of Hazara).
Khan has published 33 papers (26 in JCR-indexed journals/conferences), with work spanning deep learning for medical imaging (e.g., kidney ultrasound segmentation, liver cancer classification), image captioning, and underwater image restoration. Key projects include developing RenalSegNet for 3D renal tumor/vasculature segmentation and transformative DNNs for low-resolution medical image analysis.
His career combines academia (lectureships in Pakistan, research roles in Cyprus/China) and industry (IT support, web development). He has secured merit-based scholarships, won awards like the USTC Future Scientist Exchange Program (2021), and supervised 7 undergraduate projects in AI/Image Processing. Fluent in 4 languages (English, Turkish, Urdu, Chinese), he bridges technical research with clinical application focus.