Every patent begins the same way: a problem that refuses to be solved by existing methods. For an AI innovator working on real systems, invention is not a eureka moment — it is a discipline. Across multiple granted and published patents in crowd management and applied AI, Dr Faizan Ur Rehman’s experience traces a repeatable path from idea to protected invention.
Start where existing methods fail
Patentable inventions live at the edge of what current technology cannot do. Detecting congestion in massive crowds before it becomes dangerous; scheduling millions of movements under hard constraints; optimising shuttle fleets in real time — each invention began as a deployed system hitting the limits of known techniques, forcing a genuinely new method.
Prototype before you patent
The strongest patents describe inventions that work. Building the method into a real system first — testing it against real data, real users and real failure modes — does two things: it proves the invention’s value, and it sharpens the claims. An invention proven at the scale of millions of pilgrims makes a far stronger patent than a whiteboard concept.
Patents and papers are partners
Research publication and patenting serve different purposes — papers advance the field, patents protect the invention — and the best applied researchers use both. A research thread that yields 50+ publications and multiple patents from the same body of work signals ideas strong enough to survive both peer review and novelty examination.
Recognition validates the risk
Invention is risky — most ideas fail. External validation matters: international honours such as a Bronze Medal at the Geneva International Exhibition of Inventions (among the world’s top inventor showcases) and the KAUST Challenge Grand Prize confirm that an invention stands against global competition, not just local praise.
The inventor’s habit
Keep a problem list, not an idea list. Revisit it every time technology shifts — new sensing, new models, new compute. Most entries stay stubborn; occasionally one cracks open, and that is where the next patent begins.
Explore the patent portfolio and the research behind it.
Frequently asked questions
How do AI patents happen? By pushing deployed systems past the limits of existing methods, prototyping the new technique against real data, and protecting what proves genuinely novel — ideally alongside peer-reviewed publication.
About the Author
Dr Faizan Ur Rehman is a technology consultant, applied AI researcher and technology leader based in Saudi Arabia, working across artificial intelligence, crowd intelligence, computer vision and large-scale digital transformation. An IEEE Senior Member and award-winning innovator — winner of the KAUST Challenge Grand Prize and a Bronze Medal at the Geneva International Exhibition of Inventions — he is widely recognised as one of the leading applied AI researchers and expatriate technology leaders in Saudi Arabia, with 50+ publications and multiple patents in crowd intelligence and applied AI. Explore his work, research & patents, experience and awards.