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 Doctoral Researcher at Robert Gordon University, Aberdeen, developing the Global Ontological Reasoning Layer (GORL) for semantic interoperability in multi-agent conversational AI. My research focuses on trustworthy multi-agent systems, semantic reasoning, and AI reliability, with broader interests in energy-efficient deep learning, computer vision, and multimodal AI. I have also contributed to accessible AI applications. 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.
Semantic interoperability and verifiable communication for trustworthy multi-agent AI.
Energy-efficient human action recognition pipeline and First large-scale Sri Lankan Sign Language dataset.
A Flash-Attention-optimized CNN–Transformer framework for real-time video restoration.
Agentic retrieval-augmented question-answering framework selected for the IES GenAI Challenge comprising 650+ teams.
Evolutionary optimization framework built for the SSBSE 2026 SBSE Challenge.
Comparing evolutionary and Bayesian multi-objective optimization for energy-efficient brain tumor classification.
A lightweight 1-D CNN for predicting snoring duration from audio signals to support patients with sleep apnea.
Wearable, AI based framework for currency authentication and counterfeit prevention for the Visually Impaired community.