Haritha Thilakarathne

PhD Researcher · Microsoft MVP · AI Enthusiast

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 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


Timeline

PhD Researcher

La Trobe University, Australia
July 2018 - Present

AI Specialist

Vevro
February 2018 - Presnet

Engineer - Data Science & Analytics

Tech One Global Ltd
August 2016 - February 2018

Intern - Developer Experience

Microsoft
January 2016 - July 2016



Interests

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.


Publications

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.


Awards

  • Microsoft Most Valuable Professional (AI) - 2018
  • Microsoft Most Valuable Professional (AI) - 2017