I'm a Research scholar at La Trobe University, Australia reading for the PhD on Deep Learning with the collaboration of Australian Institute of Sport.
Awarded from Microsoft as a Most Valuable Professional in Artificial Intelligence.
I serve as an independent consultant in the domain of AI, with research and hands-on expertise in machine learning, deep learning, computer vision and developing intelligent applications.
Being a technical community contributor, I conduct sessions in technical conferences and user group meetups on AI related technologies and do maintain a blog to share my experiences and experiments on deep learning and cognitive computing.
Research Interests : Deep Learning, Computer Vision, Artificial Intelligence
Apart from being an AI researcher, I enjoy most of my time being outdoors. I enjoy hiking, camping, and nature photography. Can explain myself as a travel addict, ready to hit the road at any time with the backpack.
When forced indoors, I do enjoy writing free style poems and short stories, I am an aspiring chef, and I spend a large amount of my free time exploring the wonderful spices in my kitchen.
Predicting Floods in North Central Province of Sri Lanka using Machine Learning and Data Mining Methods.
H Thialakarathne, K Premachandra, Proceedings of the 12th Annual Sessions, Sri Lanka Association for Artificial Intelligence 2017.
Improving Assessment on MOOCs through Peer Identification and Aligned Incentives.
Gamage D,Whiting ME,Rajapakshe T,Thilakarathne H,Perera I et al., L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale.
Daemo: A Self-Governed Crowdsourcing Marketplace.
Stanford HCI Research Group, UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology.