Chirath Hettiarachchi

According to our database, Chirath Hettiarachchi authored at least 12 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A Survey of Algorithm Debt in Machine and Deep Learning Systems: Definition, Smells, and Future Work.

Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Fatemeh Hendijani Fard, Alex Potanin, Hanna Suominen

ACM Comput. Surv., August, 2026

Automated detection of algorithm debt in deep learning frameworks: an empirical study.

Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin, Hanna Suominen, Fatemeh H. Fard

Empir. Softw. Eng., May, 2026

2025

Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes.

David Timms, Chirath Hettiarachchi, Hanna Suominen

Proceedings of the MEDINFO 2025 - Healthcare Smart × Medicine Deep, 2025

2024

G2P2C - A modular reinforcement learning algorithm for glucose control by glucose prediction and planning in Type 1 Diabetes.

Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki

Biomed. Signal Process. Control., 2024

2023

Ensuring security of artificial pancreas device system using homomorphic encryption.

Haotian Weng, Chirath Hettiarachchi, Christopher J. Nolan, Hanna Suominen, Artem Lenskiy

Biomed. Signal Process. Control., 2023

Comparative Assessment of Machine Learning Strategies for Electrocardiogram Denoising.

Brenda Wang, Chirath Hettiarachchi, Hanna Suominen, Elena Daskalaki

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

A Reinforcement Learning Based System for Blood Glucose Control without Carbohydrate Estimation in Type 1 Diabetes: In Silico Validation.

Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Eleni Daskalaki, Hanna Suominen

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.

Chirath Hettiarachchi, Nicolò Malagutti, Christopher J. Nolan, Hanna Suominen, Elena Daskalaki

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network.

Ran Cui, Chirath Hettiarachchi, Christopher J. Nolan, Elena Daskalaki, Hanna Suominen

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2019

A Wearable System to Analyze the Human Arm for Predicting Injuries Due to Throwing.

Chirath Hettiarachchi, Janith Kodithuwakku, Buddhishan Manamperi, Ahamed Ifham, Pujitha Silva

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics.

Chirath Hettiarachchi, Charith Chitraranjan

Proceedings of the Artificial Intelligence in Medicine, 2019

2017

Identifying the Optimum Region of the Human Sole to Extract the PPG Signal for Pulse Rate Estimation.

Chirath Hettiarachchi, Buddhishan Manamperi, Dilshan Uthpala

Proceedings of the 9th International Conference on Signal Processing Systems, 2017