معرفی
Professor Frances Kuo is a distinguished academic in Applied Mathematics at the School of Mathematics & Statistics, University of New South Wales (UNSW). She has held the position of Professor since 2019, following her progression from Research Fellow (2003), to Senior Lecturer (2012), ARC Future Fellow (2013), and Associate Professor (2015). She received her PhD in Mathematics from the University of Waikato, New Zealand in 2002 and a BCMS (Hons) from the same institution in 1999.
Professor Kuo's research focuses on the theory and applications of high dimensional integration and approximation, particularly quasi-Monte Carlo methods, multilevel and multivariate decomposition techniques. Her recent work centers on applications to partial differential equations with random coefficients and uncertainty quantification. Her research has been supported by numerous ARC Discovery Projects, including the current ARC Discovery Project 'High dimensional approximation, learning, and uncertainty' (2024-2026), and she previously held an ARC Future Fellowship titled 'Liberating the dimension - frontier technologies for very high dimensional problems' (2013-2017).
Her publications demonstrate consistent high-impact output, with numerous articles in top journals like Mathematics of Computation, SIAM Journal on Numerical Analysis, and Numerische Mathematik. The trend in her recent work shows a strong focus on uncertainty quantification, with applications to PDEs with random coefficients, optimal control under uncertainty, and lattice-based approximation methods for high-dimensional problems.
Scientific Awards:
- Information-based Complexity Prize (2014)
- ANZIAM J.H. Michell Medal (2011)
- Inaugural Information-based Complexity Young Researcher Award (2003)
Professor Kuo has served as an Associate Editor for multiple prestigious journals including Mathematics of Computation (2016-current), SIAM Journal on Scientific Computing (2019-2024), and SIAM Journal on Numerical Analysis (2016-2024). She has supervised numerous students and taught courses including MATH1081 Discrete Mathematics, MATH1131 Mathematics 1A, MATH2089 Numerical Methods and Statistics, and specialized courses on Quasi-Monte Carlo methods. Her research has been supported by substantial grants including ARC Discovery Projects and an ARC Future Fellowship.
She maintains an active research program with collaborators worldwide, particularly with Ian Sloan at UNSW, and has established herself as a leading expert in high-dimensional computational mathematics and uncertainty quantification.
