Makes learning a joyful experience.
Always approachable and easy to talk to.
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Associate Professor Martin Masek serves as an Associate Professor of Computer Science within the School of Science at Edith Cowan University, where he leads the Centre for Artificial Intelligence and Machine Learning (CAIML). He joined the university in 2005 after completing his Doctor of Philosophy at The University of Western Australia in 2004. Masek earned his Bachelor of Engineering with Second Class Honours in Information Technology from the same university in 1998. Throughout his career at Edith Cowan University, he has contributed to research and education in computational sciences, establishing collaborations across various domains.
Masek's research involves the application of artificial intelligence and image processing techniques to solve problems in health, education, and defence. His academic interests include computer vision and image processing, artificial intelligence and machine learning—particularly evolutionary algorithms and neural networks—and applications of games technology for modeling, simulation, and visualization. Representative publications include "Discovering optimal strategy in tactical combat scenarios through the evolution of behaviour trees" (Annals of Operations Research, 2023, co-authored with Lam, Kelly, Wong); "Rethinking Adolescent School Nutrition Education Through a Food Systems Lens" (Journal of School Health, 2023, with Miller et al.); "Evaluating the Efficacy of a Serious Game to Deliver Health Education About Invasive Meningococcal Disease: Clustered Randomized Controlled Equivalence Trial" (JMIR Serious Games, 2025, with Bloomfield et al.); "ParaVerse: co-design of a parachute rehearsal and training virtual-reality enhanced simulator for the Australian Defence Force" (Virtual Reality, 2024, with Mills et al.); "Spatially-Aware Speaker for Vision Language Navigation Instruction Generation" (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024, with Gopinathan et al.); "Behaviour Discovery in Real-Time Strategy Games using Cooperative Co-evolution with Dynamic Binary Tree Decomposition" (GECCO '24 Companion, 2024, with Kelly, Lam); and "Game-based learning contributions to clinical leadership in times of resource scarcity" (Teaching and Learning in Nursing, 2025, with Andrews et al.). These publications underscore his ongoing contributions to the field.