I serve as a consultant at Arinco in the domain of Data and AI, with research and hands-on expertise in machine learning, deep learning, computer vision, Microsoft Azure AI stack and developing intelligent applications.
Currently I'm reading for the PhD on Deep Learning with the collaboration of Australian Institute of Sport at La Trobe University, Australia. Awarded from Microsoft as a Most Valuable Professional in Artificial Intelligence consecutively for 6 years.
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.
Pose is all you need: The pose only group activity recognition system (POGARS)
H Thilakarathne, A Nibali, Z He, S Morgan, Machine Vision and Applications 33, 95(2022)
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.