Dr. Mohd Nor Akmal Khalid · FTSM, UKM
Engineering intelligence at the intersection of theory and play.
Senior lecturer and researcher at FTSM, UKM, working in computational intelligence — the search, optimization and metaheuristic methods at the heart of AI — with a distinctive focus on modelling and optimizing engagement in games and interactive systems, and an emerging frontier in generative and agentic AI.
The terrain behind this text is generated procedurally, and the swarm crossing it is a real particle-swarm search climbing those ridges. Move faster and the ground roughens. Click anywhere and a new landscape sweeps out from your cursor — watch the population lose its optimum and start again.
/ research program
Three pillars, one connected agenda.
Computational Intelligence & Optimization
Evolutionary and immune algorithms, swarm intelligence and metaheuristics — the search and optimization methods at the core of my work, applied to scheduling, assembly-line balancing and large-scale combinatorial problems.
/ see the research run · live
Three pillars, running live.
Each pillar demonstrated, not described — a showreel of the simulations rebuilt from the published work, playing one at a time. Open any one for the full, interactive version.
Generative AI · agentic
Agentic content generation
Generator and critic agents evolve a rough draft into a well-formed quest, matching a target difficulty arc.
Games & simulation · self-play
Game refinement
A game plays itself; its refinement value settles on the engagement spectrum toward the comfortable zone.
Optimization · immune algorithm
Assembly line balancing
An artificial immune system packs precedence-constrained tasks into stations, raising line efficiency.
Optimization · agent-based
Crowd evacuation
A navigation field routes shoppers to the exits while congestion and panic reshape the flow.
Optimization · immune algorithm
Production scheduling
Operations reorder around maintenance windows, compacting the Gantt chart to cut the makespan.
Generative AI · agentic
Agentic content generation
Generator and critic agents evolve a rough draft into a well-formed quest, matching a target difficulty arc.
/ selected work
Selected articles.
A curated slice of the record, grouped by research pillar. The full body of work — 113 papers, filterable and mapped — lives on the publications page.
/ currently funded
Research in flight.
Artificial Intelligence-Enhanced Pain Assessment in Postoperative Recovery: A Cross-Sectional Study of AI-Assisted Pain Assessment Tool with Patient Self-Reported Scores in the Post-Anaesthesia Care Unit
Geran Fundamental Fakulti Perubatan(GFFP)
Enhancing Braille Literacy through Novel Interactive Features: A Multidisciplinary Approach to Improve User Engagement in Braille Learning Devices
Geran Translasi UKM (TR-UKM)
Swarm-Based-Enhanced Hyperparameter Optimization for Advancing Random Forest Model in Healthcare Patient Prioritization
Fundamental Research Grant Scheme (FRGS)
Open to collaboration.
Postgraduate supervision (Master's & PhD), industry research collaboration, and conference invitations are always welcome.
Get in touch →