Sithu Ye Htun’s research interests lie in applied artificial intelligence and intelligent cyber-physical systems, particularly where AI interacts with real-world environments through sensing, prediction, and control.

Key areas of focus include:

• World Models and embodied AI – enabling machines to build internal representations of their environment for reasoning, prediction, and planning
• Robotics and autonomous systems – including perception, sensor fusion, and control for intelligent robotic platforms
• AI-driven decision frameworks – for complex operational systems
• Edge AI and distributed intelligent systems – operating across multi-tier architectures
• Energy system optimisation – for renewable assets such as solar farms and wind turbines
• Autonomous cyber-physical systems – integrating sensing, learning, and control

His research bridges theoretical AI methods with practical deployment in robotics and intelligent infrastructure.