Dr. Mobeen Ur Rehman

Title of the research page: Advancing Intelligent Vision Systems for Healthcare, Robotics, and Bioinformatics

Artificial intelligence is rapidly transforming how machines perceive, reason, and interact with the world. At the intersection of deep learning, computer vision, and biomedical engineering, current research focuses on developing intelligent systems capable of understanding complex visual and biological data with human-like precision and interpretability.

This work addresses three major scientific challenges: creating high-fidelity neural architecture for medical image analysis, enabling robust visual perception in autonomous robotic systems, and building computational frameworks for genomic and bioinformatics data understanding. By integrating multimodal learning, attention mechanisms, and adaptive feature fusion, these systems aim to achieve reliable, real-time decision-making across diverse environments from healthcare diagnostics to smart agricultural and underwater platforms.

In biomedical applications, the research explores deep networks for brain tumor segmentation, retinal vessel extraction, and early disease prediction, combining explainable AI and multi-scale feature modeling to enhance clinical trust and accuracy. Parallel efforts in robotics emphasize visual intelligence for drones and autonomous agents, enabling perception-driven navigation and context-aware control.

Extending beyond imagery, the work delves into bioinformatics, developing predictive models that uncover molecular patterns and DNA/RNA modification sites, supporting breakthroughs in personalized medicine and computational genomics.

The research of Dr. Mobeen Ur Rehman envisions AI systems that integrate perception, reasoning, and reliability moving from data-driven prediction to truly context-aware intelligence. These innovations contribute directly to the UAE’s National AI Strategy 2031 and Industry 4.0 initiatives, advancing sustainable healthcare technologies, autonomous robotics, and the nation’s broader digital transformation. Ultimately, this vision seeks to build intelligent systems that not only analyze information but also understand and act upon it empowering a safer, healthier, and more connected world.

“The future of AI lies in systems that not only compute but also understand   models that can see the unseen, learn from the uncertain, and act with purpose. My goal is to translate intelligent algorithms into meaningful real-world impact.”