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» People » Asiri WijesingheAsiri Wijesinghe
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
- DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters - Thirty-third Conference on Neural Information Processing Systems 2019 - NeurIPS 2019 - Vancouver, Canada.
- 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)
Education
- BSc. (Hons) Computer Science with first class from University of Colombo School of Computing, SriLanka (2015)
