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Research

Exploring ideas through software, experimentation and analysis.

My research spans mixed reality, multi-agent robotics, artificial intelligence, medical imaging and interdisciplinary studies. I enjoy work that combines building systems with experimentation.

Publications

Published research

Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

IEEE Access · Peer-reviewed journal

Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

Developed and evaluated a mixed-reality framework that combines physical and virtual agents for swarm-intelligence experimentation, enabling researchers to test multi-agent behaviour without relying entirely on large fleets of physical robots.

Mixed RealitySwarm RoboticsMulti-Agent Systems
Automatic Segmentation of Lumbar Intervertebral Discs from the Axial View

MERCon · Best Paper Award

Automatic Segmentation of Lumbar Intervertebral Discs from the Axial View

Applied machine-learning and medical-image analysis techniques to automatic lumbar intervertebral-disc segmentation. The work received the Best Paper Award in Big Data, Machine Learning and Cloud Computing at MERCon.

Medical ImagingMachine LearningSegmentation
Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

TASME · Abstract publication

Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

Presented the mixed-reality swarm-robotics framework through an abstract publication at the Technological Advances in Science, Medicine and Engineering Conference.

Mixed RealityRoboticsResearch Communication

In progress

Ongoing research

Dynamic Environment Setup using Swarm of Mobile Robots

Ongoing research

Dynamic Environment Setup using Swarm of Mobile Robots

An ongoing extension of the swarm-robotics platform exploring mobile obstacle robots that can dynamically reconfigure an experimental arena.

Swarm RoboticsDynamic Environments
Self-Directed Learning Readiness and Student Stress

Ongoing research

Self-Directed Learning Readiness and Student Stress

An interdisciplinary study exploring self-directed learning readiness and stress among school and university students, with the aim of informing age-appropriate learning approaches.

Education ResearchData Analysis

Research communication

Presentations

Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

Peradeniya University Research Excellence Showcase · 2022

Mixed Reality based Multi-Agent Robotics Framework for Artificial Swarm Intelligence Experiments

Poster presentation by Dilshani Karunarathna, Nuwan Jaliyagoda, Isuru Nawinne and Roshan Ragel.

Mixed Reality Environment for Swarm Robotics Simulations

ESCaPe 2021 · Best Research Presentation Award

Mixed Reality Environment for Swarm Robotics Simulations

Presented with Nuwan Jaliyagoda and Ganindu Jayalath; recognised with the Best Research Presentation Award.