I research multi-agent reasoning, energy-efficient deep learning, and computer vision — with award-winning publications and accessible AI applications.
I am a fully funded PhD researcher at Robert Gordon University, Aberdeen, working on the Global Ontological Reasoning Layer (GORL) for semantic interoperability in multi-agent conversational AI. My work spans trustworthy multi-agent reasoning, energy-efficient deep learning, computer vision, and multimodal AI — including accessible AI applications such as sign-language recognition. I have led first-author collaborations with researchers from Oxford, Newcastle, Stirling, Swansea, Surrey, and RGU, and have authored multiple peer-reviewed publications, including a Best Paper Award.
Each project has its own page with details, photos, conference videos, and links. Open any to explore.
A Flash-Attention-optimized CNN–Transformer framework for real-time video restoration.
Semantic interoperability and verifiable communication for trustworthy multi-agent AI.
First large-scale Sinhala Sign Language dataset and an energy-efficient recognition pipeline.
Agentic retrieval-augmented question-answering framework for the IES GenAI Challenge.
Evolutionary optimization framework built for the SSBSE 2026 SBSE Challenge.
A systematic ten-year review of deep learning for Sinhala Sign Language recognition.
A lightweight 1-D CNN for predicting snoring duration from audio signals.
A deep learning framework for currency authentication and counterfeit prevention.