Hafeez Anjum

National University of Sciences and Technology

Papers

Total Citations

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About

Dr. Hafeez Anjum is a leading researcher at the intersection of artificial intelligence and biomedical imaging, with a primary focus on super-resolution, computer vision, and minimally invasive surgery. His most impactful work centers on enhancing the visual quality of endoscopic images, a critical need in modern surgical practice. Dr. Anjum’s major contribution is the development of HAMSRNet (Hybrid Attention Multiscale Super-Resolution Network), a novel deep-learning architecture designed to reconstruct high-fidelity, high-resolution images from the low-resolution, noisy feeds common in stereo endoscopy. This innovation directly addresses the challenge of obscured anatomical details during minimally invasive procedures, thereby improving a surgeon’s spatial awareness and depth perception. With his 2025 paper already garnering 3 citations, Dr. Anjum’s work is rapidly gaining recognition for its practical impact on surgical precision. By leveraging hybrid attention mechanisms and multiscale feature extraction, his research promises to significantly enhance the visualization of critical structures, ultimately contributing to safer and more effective surgical outcomes.