Research & innovation
My research bridges academia and industry - from predictive healthcare AI at Queen's University Belfast to production AI systems deployed at scale. Ph.D. in Artificial Intelligence & Data Science.
Focus areas
AI & Machine Learning
Predictive analytics, deep learning architectures, and practical ML system design
Healthcare Data Science
Clinical AI, patient outcome prediction, and optimising healthcare systems with ML
NLP & Generative AI
RAG systems, LLM architectures, conversational AI, and Sinhala language processing
Computer Vision
Edge-based similarity search, object detection, and real-time visual AI systems
LegalTech AI
Jurisdiction-based RAG for legal contracts - precision retrieval for compliance
Audio & Creative AI
Music genre classification and AI-driven composition with recurrent neural networks
Publications
Machine learning model classifying Sinhala songs into distinct genres from audio features including rhythm, pitch, and timbre - supporting music recommendation and cultural preservation. Supervised research with S.M.K.N. Nawamini Karunathilake.
Predictive Modelling for Length of Stay with the MIMIC-III Critical Care Database
Healthcare AI application predicting patient length of stay using the MIMIC-III critical care database, enabling data-driven resource allocation in clinical settings. Joint work with Prof. Adele Marshall and Dr. Aleksandar Novakovic at Queen's University Belfast.
Using Mixed Exponentials for Unsupervised Discretization
Novel approach to unsupervised data discretization using mixed exponential distributions - improving preprocessing quality for downstream machine learning pipelines in clinical and industrial datasets.
Komposer - Automated Musical Note Generation Based on Lyrics with Recurrent Neural Networks
AI system for automated music composition that generates melodic note sequences from text inputs using recurrent neural networks. The underlying system (Komposer) was awarded the APICTA (Asia-Pacific ICT Alliance) Gold Award in the Tertiary category.
Identifying Racist Social Media Comments in Sinhala Language Using Text Analytics Models with Machine Learning
Natural language processing model for detecting racist and hate-speech content in the Sinhala language - one of the first low-resource language hate-speech detection systems using text analytics and supervised machine learning.
Forecasting Monthly Ad Revenue from Blogs Using Machine Learning
Machine learning approach for predicting monthly advertising revenue from blog platforms - exploring regression models and feature engineering on web analytics and content metadata.
Virtual Airplay Drum Kit Based on Hand Gesture Recognition
Computer vision system enabling real-time virtual drumming through hand gesture recognition - combining image processing, gesture classification, and audio synthesis for an interactive music performance experience.
A Simple Machine Learning Approach for Identifying Promotional Short Message Service (SMS) Messages
Text classification model for distinguishing promotional SMS messages from personal messages, using machine learning with feature engineering on message content and metadata.
Interested in collaboration?
Open to research partnerships, speaking engagements, and consulting on AI system design and deployment.