Tehseen Mazhar

University of Johannesburg, Government of Pakistan

Papers

Total Citations

H-Index

About

Tehseen Mazhar is an emerging researcher whose work spans the intersections of artificial intelligence, Internet of Medical Things (IoMT), blockchain technology, and computational intelligence. His most impactful contribution to date is his 2024 analysis of IoMT-blockchain integration, which garnered 37 citations and examined critical dimensions of AI transforming neurosurgery and neurology — offering a comprehensive framework for how intelligent systems are reshaping patient diagnosis, care delivery, and treatment outcomes in healthcare. This work positions Mazhar as a thoughtful voice in the rapidly evolving digital health landscape. Beyond healthcare, his research extends into computer vision and object detection, with a 2025 comparative study evaluating Teachable Machine, MobileNet, and YOLO across real-world classification tasks, contributing practical insights for developers and engineers selecting deployment-ready models. His investigations into deep learning architectures for Industry 4.0 and 5.0 applications further demonstrate his commitment to bridging advanced computational methods with industrial automation and big data analytics. For students and researchers working at the confluence of AI, healthcare technology, and smart systems, Mazhar's growing body of work offers both theoretical grounding and applied perspectives worth exploring.