About
Dr. Vinesha Peiris is a Research Fellow at Curtin University's School of Electrical Engineering, Computer and Mathematical Sciences (EECMS), within the Faculty of Science and Engineering. Her work focuses on optimization, approximation theory, and operations research with applications in neural networks and computational mathematics. She holds a PhD in Applied Mathematics from Swinburne University of Technology (2022), a BSc (Hons) in Mathematics from the University of Sri Jayewardenepura (2017), and a Graduate Certificate in Research and Innovation Management (Swinburne, 2022).
Dr. Peiris' research emphasizes rational approximation methods, nonsmooth optimization, and their applications in deep learning. She has received notable awards, including the Maryam Mirzakhani Award (2022), Kovalevskaya Grant (2022), and BH Neumann Prize (2020). Her publications span interdisciplinary topics like neural network architectures, insecticide resistance modeling, and matrix function approximations.
Professional memberships include the Australian Mathematical Society (AustMS), Mathematics of Computation and Optimisation (MOCAO), Australia and New Zealand Industrial and Applied Mathematics (ANZIAM), and the Women in Mathematics Special Interest Group (WIMSIG).
