Engineering intelligence at the intersection of theory and play.

Senior lecturer and researcher at FTSM, UKM. My work explores how generative AI, evolutionary computing, computational intelligence, and games informatics, to solve real-world problems.

Dr. Mohd Nor Akmal Khalid

Research pillars

Latest from the lab

All publications →
Q1JournalGenerative AISimulation

Text-to-video generation with multi-loss sequential generative adversarial network.

Ullah, Anwar, Zhang Xing, Md All Moon Tasir, Mohd Nor Akmal Khalid, Abdul Majid, Naresh Kumar, and Herbert Mukalazi

Scientific Reports · 2026

NAJournalGenerative AISimulation

Youth Economic Empowerment through Artificial Intelligence: An Analysis of Legal Literacy Needs and Innovation Governance.

Yahya, Mohamad Azhan and Abd Rahman, Mohamad Rizal and Mohd Arif, Mohd Izzat Amsyar and Khalid, Mohd Nor Akmal and Ahmad Rosli, Muhammad Syahrul Deen and Abdul Manap, Nazura

International Journal of Research and Innovation in Social Science (IJRISS) · 2026

NAJournalEvolutionary ComputingComputational Optimization

A Systematic Literature Review on the Sand Cat Swarm Algorithm: Enhancements, Applications, and Future Directions

Ahmad, Wirawati Dewi and Bakar, Azuraliza Abu and Khalid, M. N. A.

International Journal of Advanced Computer Science and Applications · 2025

Currently funded research

All projects →
ActiveCo-Investigator

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)

20262030

ActiveCo-Investigator

Enhancing Braille Literacy through Novel Interactive Features: A Multidisciplinary Approach to Improve User Engagement in Braille Learning Devices

Geran Translasi UKM (TR-UKM)

20242026

ActiveCo-Investigator

Swarm-Based-Enhanced Hyperparameter Optimization for Advancing Random Forest Model in Healthcare Patient Prioritization

Fundamental Research Grant Scheme (FRGS)

20242027

ActivePrinciple Investigator

Human-Machine Collaborative Framework Using Generative Adversarial Network and Map-Elites for a Creativity-Based Learning

Fundamental Research Grant Scheme (FRGS)

20242027

Open to collaboration

Postgraduate supervision (Master's & PhD), industry research collaboration, and conference invitations welcome.

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