Chirath Hettiarachchi

Chirath Hettiarachchi is a Research Fellow at the ANU School of Computing, specializing in closed-loop healthcare applications. His work focuses on integrating reinforcement learning, machine learning, and control systems to improve medical technologies like artificial pancreas systems. He is actively involved in interdisciplinary research to address challenges in diabetes management, cybersecurity of medical devices, and scalable health informatics solutions.

Research Interests include:

• Reinforcement Learning applications in medical systems
• Machine Learning for physiological signal analysis
• Artificial Pancreas System design and security
• Signal processing for health monitoring
• Biomedical engineering innovations

His recent articles highlight advancements in glucose control algorithms, sensor data processing, and system security. Notable trends include:

• Development of modular reinforcement learning frameworks for diabetes treatment
• Integration of homomorphic encryption to secure medical devices
• Scalable platforms for sensor data preprocessing

While no scientific awards are explicitly listed, his research has garnered significant citations and peer-reviewed recognition. He is registered to supervise research students and collaborates on projects involving clinicians and lived experience experts to bridge theoretical and practical healthcare challenges.