Abdul Rehman

Abdul Rehman is a computer science researcher currently affiliated with IMT Atlantique Bretagne Pays de la Loire in Brest, France, where he recently completed his PhD dissertation on 'Practical watermarking for multimedia traitor tracing' in 2024. His research spans multiple domains at the intersection of artificial intelligence and healthcare applications, with significant contributions in medical image analysis, neurodevelopmental disorder diagnosis, and wireless communications.

His primary research interests focus on applying AI techniques to healthcare challenges, particularly in ADHD diagnosis systems using visual attention tasks, eye tracking, and serious games. He has also made substantial contributions to medical image analysis for breast cancer and leukemia detection, as well as work in multimedia security, serverless computing, and wireless sensor networks. His interdisciplinary approach combines computer vision, deep learning, and human-computer interaction to develop practical healthcare solutions.

Analysis of his recent publications (2023-2025) reveals a strong trend toward healthcare AI applications, particularly in neurodevelopmental disorders and medical imaging. His work demonstrates expertise in developing explainable AI frameworks that bridge technical innovation with clinical needs, often collaborating with psychologists and medical professionals. The publications show increasing sophistication in multimodal approaches combining eye tracking, visual attention analysis, and deep learning.

Abdul Rehman has established productive collaborations with researchers including Ilona Heldal, Jerry Chun-Wei Lin, and Waqas Sultani, with whom he has co-authored multiple papers on ADHD diagnosis systems. His work appears in reputable venues including IEEE Access, IEEE Big Data, and MICCAI.

As a recent PhD graduate transitioning into research positions, he is actively contributing to multiple research directions while establishing himself as a specialist in AI applications for healthcare diagnostics, particularly in the areas of neurodevelopmental disorders and medical image analysis.