Asiri Wijesinghe

PhD Candidate

Research Area:

Machine Learning

Hanna Neumann Blg 145, 4.27

asiri.wijesinghe@anu.edu.au

Bio
Research interests
Research projects
Publications
Honours and Awards
Service

I am currently reading my PhD at the Australian National University. My research interests 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

Investigator

Graph Learning

DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters - Thirty-third Conference on Neural Information Processing Systems 2019 - NeurIPS 2019 - Vancouver, Canada. [code] [poster]
AKSHI: Autogenous Diabetic Retinopathy Censor for Ophthalmologists - IEEE International Conference on Control and Robotics Engineering 2016 - ICCRE2016 - Singapore.

Neural Information Processing Systems (NeurIPS 2019) Travel Award.
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.
The Best Research Paper Award at IEEE International Conference on Control and Robotics Engineering 2016 - ICCRE2016 (Robotics Vision Engineering) - Singapore.
The MERIT Award of Tertiary Category at Asia Pacific ICT Alliance Awards (APICTA) 2015.
The Bronze Award of Tertiary Technology Category at 17th National Best Quality ICT Awards (NBQSA) 2015.
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)