Personal profile
Biography
Chirath Hettiarachchi is a Research Fellow at the ANU School of Computing working on closed-loop healthcare applications.
Research Interests
- Reinforcement Learning
- Machine Learning
- Control Systems
- Signal Processing
- Biomedical Engineering
Research student supervision
- Registered to supervise
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Collaborations and top research areas from the last five years
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Automated detection of algorithm debt in deep learning frameworks: an empirical study
Simon, E. I. O., Hettiarachchi, C., Potanin, A., Suominen, H. & Fard, F., May 2026, In: Empirical Software Engineering. 31, 3, p. 52-66Research output: Contribution to journal › Article › peer-review
Open Access -
Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes
Timms, D., Hettiarachchi, C. & Suominen, H., 7 Aug 2025, MEDINFO 2025 - Healthcare Smart x Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics. Househ, M. S., Househ, M. S., Tariq, Z. U. A., Al-Zubaidi, M., Shah, U. & Huesing, E. (eds.). IOS Press BV, p. 1039-1043 5 p. (Studies in Health Technology and Informatics; vol. 329).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
Open Access -
G2P2C — A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes
Hettiarachchi, C., Malagutti, N., Nolan, C. J., Suominen, H. & Daskalaki, E., Apr 2024, In: Biomedical Signal Processing and Control. 90, p. 105839 1 p., 105839.Research output: Contribution to journal › Article › peer-review
Open Access21 Citations (Scopus) -
Optimising Personalised Medical Insights by Introducing a Scalable Health Informatics Application for Sensor Data Extraction, Preprocessing, and Analysis
Hettiarachchi, C., Vlieger, R., Ge, W., Apthorp, D., Daskalaki, E., Üstle, A. B. R. & Suominen, H., 24 Sept 2024, Health. Innovation. Community: It Starts With Us - Papers from the 28th Australian Digital Health and Health Informatics Conference, HIC 2024. Bichel-Findlay, J. (ed.). IOS Press BV, p. 138-143 6 p. (Studies in Health Technology and Informatics; vol. 318).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
Open Access1 Citation (Scopus) -
Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising
Wang, B., Hettiarachchi, C., Suominen, H. & Daskalaki, E., 2023, Advances In Artificial Intelligence, Ai 2023, Pt I: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Proceedings. Liu, T., Yue, L., Webb, G. & Wang, D. (eds.). Springer Science+Business Media B.V., Vol. 14471. p. 495-506 12 p. (Lecture Notes In Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review