● RESEARCH GROUP
Deep Intelligence Research Laboratory
Advancing the frontiers of artificial intelligence through rigorous research in medical image analysis, deep learning, federated systems, and computer vision — with global impact.
- 🫀 Medical Imaging AI
- 🌾 Precision Agriculture
- 🔗 AI in Privacy & Security
- 🛰️ Remote Sensing
- 🔬 Biomedical Analysis
- 🚶 Gait Recognition
500+
Journal & Conference Papers
26K+
Total Citations
345
i10-index
87
h-index
Our Research
Core Research Areas
Six interconnected domains where Deep Intelligence Lab is advancing the frontiers of AI and its clinical, environmental, and security applications.
Medical Imaging & Diagnostics
AI-powered diagnostic systems for MRI analysis, dermoscopy, chest X-ray classification, and histological imaging. Our models achieve state-of-the-art accuracy on skin lesion detection, brain tumor segmentation, and lung nodule classification — directly improving clinical decision-making.
MRI Analysis
Dermoscopy
Tumor Segmentation
Precision Agriculture
We leverage deep learning, computer vision, and IoT sensor fusion to transform traditional farming into intelligent, data-driven systems. Our work spans automated crop disease detection, yield prediction models, soil health monitoring, and UAV-based field analysis.
Crop Disease Detection
Yield Prediction
UAV Imaging
Privacy & Security in AI
Distributed AI systems that train on sensitive medical data without centralizing patient records. Our federated frameworks enable multi-hospital collaboration while fully preserving patient data privacy.
Federated Learning
Privacy-Preserving
Distributed AI
Lab Updates
Latest News & Recent Publications
📢 Lab Notices & Updates
📄 Recent Publications
📢 Lab Notices & Updates
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Our Team
Meet Our Researchers
A dedicated group of researchers advancing AI across medical imaging, deep learning, and computer vision.
PRINCIPAL INVESTIGATOR
Dr. Muhammad Attique Khan
Assistant Research Professor, Center of Artificial Intelligence
Department of Computer Science, College of Computer Engineering and Science
Prince Mohammad Bin Fahd University, KSA
500+
Publications
26K
Citations
87
h-index
10
PhD Supervised
Stanford Top 2%
Saeed Iqbal
Deep Learning, Federated Learning, Multimodal Learning, Medical Imaging
Muhammad Sami Ullah
Deep Learning, Computer Vision, Medical Imaging, Remote Sensing
Scholar
