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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 machine learning techniques on non-Euclidean data such as graphs and manifolds.
My supervisors are Qing Wang, Stephen Gould, and Brendan McKay.
- Machine Learning
- Convex Analysis and Optimization
- Geometric Deep Learning
- Network Representation Learning
- Spectral Graph Theory
- A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?" - 10th International Conference on Learning Representations (ICLR 2022) - Virtual. [code] [video]
- A Regularized Wasserstein Framework for Graph Kernels - 21st IEEE International Conference on Data Mining (ICDM 2021) - Auckland, New Zealand. [code]
- ERGAN: Generative Adversarial Networks for Entity Resolution - 20th IEEE International Conference on Data Mining (ICDM 2020) - Sorrento, Italy.
- DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters - 33rd 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.
- ANU COVID-19 Extension Scholarship (Research) (RCOVID19)
- Neural Information Processing Systems (NeurIPS 2019) Travel Award.
- Vice-Chancellor's HDR Travel Grant.
- 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)
Education
- BSc. (Hons) Computer Science with first class from University of Colombo School of Computing, SriLanka (2015)
