Rate My Professor Scott Lindstrom

Dr. Scott Lindstrom is a Senior Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, within the Faculty of Science and Engineering. He serves as Discipline Lead for Mathematics and is affiliated with the Centre for Optimisation and Decision Science. Lindstrom earned his PhD in Mathematics from the University of Newcastle in 2018, following a Master's degree from Portland State University in 2015 and a Bachelor's degree in Psychology. Prior to joining Curtin University in 2021, he held a postdoctoral position in the Department of Applied Mathematics at the Hong Kong Polytechnic University from 2018 to 2021. His research employs variational analysis and computational tools to investigate nonlinear optimisation problems from a geometric viewpoint, encompassing error bounds without constraint qualifications, projection methods such as Douglas-Rachford and ADMM, conic feasibility, and applications to machine learning, data science, engineering, audio signal recovery, and wavelet problems. Notable publications include 'Optimal Error Bounds in the Absence of Constraint Qualifications with Applications to p-Cones and Beyond' (2024), 'Generalized Power Cones: Optimal Error Bounds and Automorphisms' (2024), 'Tight Error Bounds for Log-Determinant Cones Without Constraint Qualifications' (2025), 'The ADMM Algorithm for Audio Signal Recovery and Performance Modification with the Dual Douglas-Rachford Dynamical System' (2024), and 'Quadratic Convergence of a Projection Method for a Plane Curve Feasibility Problem' (2025). His work has garnered over 300 citations on Google Scholar.

Lindstrom received the Alf van der Poorten Travelling Fellowship from the Australian Mathematical Society in 2019. He actively contributes to teaching and supervision, delivering courses for the AMSI Summer School in 2023 and ACE Network in 2022/24, with teaching materials adopted for honours and graduate students. A joint paper with his honours student emerged from an AMSI-inspired project, published in AIMS Mathematics. His visualisations of mathematical models have featured in art showcases. Lindstrom advises on the limitations of mathematical tools like image denoising in legal contexts, emphasising rigorous public discourse. As Discipline Lead, he guides mathematics initiatives in the school.