Mohd Shahrizal Sunar

University of Technology Malaysia, Multimedia University

Papers

Total Citations

180

H-Index

About

Mohd Shahrizal Sunar is a leading researcher in computer graphics and interactive digital media, with key contributions spanning pathfinding algorithms, natural user interaction, and augmented reality (AR). His highly cited 2015 survey on pathfinding techniques for robotics and video games (129 citations) provides a comprehensive taxonomy of graph-based algorithms, critically analyzing their impact on game AI and autonomous navigation. Sunar advanced this field with a novel weighted pathfinding algorithm (2016) that significantly reduces search time on grid maps, offering practical efficiency gains for real-time applications. In human-computer interaction, his 2011 study on natural interaction using depth image data (22 citations) pioneered non-verbal motion tracking for bridging real and virtual worlds. More recently, his 2020 review of AR tracking methods for robot maintenance (5 citations) addresses the growing need for robust, scalable AR systems in industrial settings. Sunar's work demonstrates a consistent focus on making virtual environments more responsive and intuitive, from optimizing game character movement to enabling immersive maintenance workflows. His research portfolio reflects a deep commitment to advancing the technical foundations of interactive systems that power both entertainment and industry.