Papers

Publications

A concise chronological list. Google Scholar remains the source for the complete and most current publication record.

Simulating closed-loop transcranial brain stimulation for reinforcement learning-based treatment discovery

2026

Chirath Hettiarachchi, Neil Bailey, Paul Fitzgerald, and Hanna Suominen

Research Square preprint

Preprint; simulation study.

Reinforcement LearningComputational NeuroscienceSimulation

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

2025

David Timms, Chirath Hettiarachchi, and Hanna Suominen

MEDINFO 2025 — Studies in Health Technology and Informatics

In-silico evaluation.

Reinforcement LearningGlucose ControlIn-silico Evaluation

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

2024

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

Biomedical Signal Processing and Control, 90, 105839

In-silico validation.

Reinforcement LearningPlanningBiomedical Control

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

2022

Chirath Hettiarachchi, Nicolo Malagutti, Christopher Nolan, Eleni Daskalaki, and Hanna Suominen

44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

In-silico validation.

Reinforcement LearningClosed-loop ControlType 1 Diabetes

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

2022

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

AI 2022: Advances in Artificial Intelligence, Lecture Notes in Computer Science

In-silico evaluation.

Reinforcement LearningAction SpacesType 1 Diabetes

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

2019

Chirath Hettiarachchi and Charith Chitraranjan

17th Conference on Artificial Intelligence in Medicine

Machine LearningPhotoplethysmographyBiomedical Signals

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

2019

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

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

Wearable SystemsSignal ProcessingInjury Analysis

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

2017

Chirath Hettiarachchi, Buddhishan Manamperi, and Dilshan Uthpala

9th International Conference on Signal Processing Systems

PhotoplethysmographySignal ProcessingSensing