Supported by leading national and international research bodies,
government agencies and academic institutions.
Pioneering Multi-Agentic AI, cybersecurity, and intelligent systems — our research creates real-world impact at the largest scale.
Autonomous AI agent pipelines for crowd intelligence, multimodal fusion, face & object recognition, and safety-critical deployments at national scale.
Multi-Agentic AI for cyber range simulation, intelligent threat attribution, multimedia anti-spoofing, and autonomous digital evidence analysis for national security.
Real-time AI at the edge, blockchain-secured city services, autonomous sensor networks, and spatiotemporal intelligence for resilient urban infrastructure.
Generative AI for media synthesis, real-time XR (VR/AR/MR) systems, haptic computing, and AI-secured multimedia delivery pipelines.
Agentic clinical decision support, AI-powered medical imaging diagnostics, point-of-care AI frameworks, and intelligent remote patient monitoring systems.
Multi-Agentic AI for real-time pilgrim crowd management, blockchain-secured identity ledgers, smart wearables, and predictive safety systems for the world's largest annual gathering.
Advanced Media Lab has secured over 80M+ SAR and $15M USD in competitive grants from leading national and international research bodies — delivering research impact at the highest level since 2011.
SAARIA: Using AI & Digital Eye Fundus Images to Diagnose Various Diseases — National Startup Grant
XR & Immersive Learning Innovation Grant — UPM Team International Winner
IoT + Blockchain Secure Framework for Hajj Mass Crowd Spatio-Temporal Early Warning
Next Generation Hajj: A Smart City Perspective
Querying, Analyzing & Visualizing Real-Time Social Network Data
Query Processing & Optimization in Spatiotemporal Database Systems
Open-Source Context-Aware E-Learning for Students with Intellectual Disabilities
HajjMemo: Pilgrims-Sourced Data for Continuous Improvement of Hajj & Umrah
Ideas & Solutions for Hajj & Umrah — Crowd Management Category
Multi-Modal Deep Learning AI Framework for COVID-19 Rapid Point-of-Care Diagnosis
Blockchain for Hajj — International Research Collaboration with UK Universities
OncoLLM: Design & Develop LLM for In-Home Secure Oncological Data Collection
Stay updated with our latest research breakthroughs, product launches, and lab news.
All NewsChapter 2 of the forthcoming CRC Press (Taylor & Francis) book "Cybersecurity in Space: Threats, Vulnerabilities, and Countermeasures" …
Startup Middle East featured Prof. Rahman on its Daily Cover for driving cybersecurity, forensic computing and AI research …
Recognised among the College of Computer and Cyber Sciences’ distinguished faculty for 2025–2026 for a full-day workshop that …
Invited by the Pakistan Information Security Association (PISA), with Darktrace (SMC-Private) Limited and Security Experts, to speak online …
Presented SPAR-Health (invited paper, with a live robotics demo) and E-Health Priority (main track) at the 24th IEEE …
World Wide Network featured Prof. Rahman in its “Recognizing Professional Excellence” series for his research and its impact …
Startup GLOBAL featured Prof. Rahman on its Daily Cover for driving cybersecurity excellence and academic leadership across Saudi …
OncoLLM won First Place, Best Innovation Project Award at SusTAIN 2026, and Prof. Rahman was recognised on stage …
Research translated into real-world software — deployed across Saudi Arabia and beyond.
Multi-agentic AI platform for the Seerah of Prophet Muhammad صلى الله عليه وسلم — authenticated sources, fully local AI, Arabic & English.
AI-powered computer vision scenarios across retail, healthcare, transportation & public safety — interactive showcase with 80+ hotspots.