Asiri 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

Education

  • BSc. (Hons) Computer Science with first class from University of Colombo School of Computing, SriLanka (2015)

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