Asiri Wijesinghe

PhD Candidate

Research Area:

Machine Learning

Hanna Neumann Blg 145, 4.27

asiri.wijesinghe@anu.edu.au

Bio
Research interests
Publications
Honours and Awards
Service

I am currently reading my PhD at the Australian National University. My research insterests lie broadly in Geometric Deep Learning techniques on non-Euclidean data such as graphs and manifolds.

My supervisors are Qing Wang, Stephen Gould, Brendan McKay, and Yu Lin.

Machine Learning
Convex Analysis and Optimization
Geometric Deep Learning
Network Representation Learning
Spectral Graph Theory

AKSHI: Autogenous Diabetic Retinopathy Censor for Ophthalmologists - IEEE International Conference on Control and Robotics Engineering 2016 - ICCRE2016 - Singapore.

ANU PhD Scholarship (International).
HDR Fee Remission Merit Scholarship.
The Special Award Winner of e-Health and Well Being Category at 13th Manthan Awards Competition - New Delhi, India - 2017.
Won the Best Research Paper Award at IEEE International Conference on Control and Robotics Engineering 2016 - ICCRE2016 (Robotics Vision Engineering) - Singapore.
Won the MERIT Award of Tertiary Category at Asia Pacific ICT Alliance Awards (APICTA) 2015.
Won the Bronze Award of Tertiary Technology Category at 17th National Best Quality ICT Awards (NBQSA) 2015.
Won the Best Industrial Oriented Research Award at UCSC Research Symposium 2015.

Work Experience

Senior Data Scientist at Linear Squared (Jun 2017 – May 2018)
Research Assistant at University of Colombo School of Computing (Jan 2017 – Dec 2017)
Full Stack Developer at Sysco Labs (Feb 2015 – Jul 2017)
Software Engineer at eBuilder - Internship (Jul 2013 – Jan 2014)