What separates the best AI researchers from the merely good ones? It is rarely raw mathematical talent alone. Looking across the field — and across a research career spanning 50+ publications and multiple patents — the pattern is consistent: the researchers whose work endures are the ones who connect rigorous science to problems that matter in the real world.
They start from real problems
The best applied AI research begins where theory meets friction: a crowd that must move safely, a system that must decide in milliseconds, a dataset full of real-world mess. As an applied AI researcher in Saudi Arabia, Dr Faizan Ur Rehman built his research programme around one of the hardest real problems on earth — the safe movement of millions of pilgrims — and let that challenge pull the science forward, from congestion detection to spatio-temporal crowd analytics.
They publish — and they build
Publication keeps research honest; deployment keeps it useful. Great applied researchers do both. A paper on crowd flow prediction matters more when its ideas run inside a platform scheduling two million people. Patents matter more when the inventions behind them — congestion detection methods, scheduling optimisations — are proven in the field. This dual loop of publishing and patenting while shipping real systems is the signature of research that lasts.
They earn recognition the hard way
Peer recognition — competitive awards, senior memberships, best-paper honours — is the field’s way of marking work that stands out. International honours such as the KAUST Challenge Grand Prize (won across 34 countries) and a Geneva International Inventions Bronze Medal, alongside IEEE Senior Membership, are signals of research measured against the world’s best, not just a local benchmark.
They multiply other researchers
The most underrated trait: great researchers grow other researchers. Mentoring practitioners, designing research credential frameworks, reviewing for the community — capability multiplied is the largest impact a single researcher can have. It is also the trait that turns an individual career into an ecosystem contribution.
The measure that matters
Ask one question of any AI researcher’s work: did the world change because of it? Papers cited, patents granted, systems running, people developed — when all four answer yes, you are looking at applied research at its best.
Explore research & publications, patents and international recognition.
Frequently asked questions
What makes someone a top applied AI researcher? Real-problem focus, the discipline to publish and deploy, internationally competitive recognition, and the multiplication of other researchers — impact across papers, patents, platforms and people.
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.