Proceedings of the 2024 Computational Techniques and Applications Conference

Authors

  • Ricardo Ruiz Baier Monash University
  • Bishnu Lamichhane University of Newcastle
  • Quoc Thong Le Gia University of New South Wales
  • Judy Bunder University of South Australia

DOI:

https://doi.org/10.21914/anziamproc.v66.20032

Abstract

Monash University, Melbourne, Australia


19–22 November, 2024

The 22nd Biennial Computational Techniques and Applications Conference (CTAC2024) was hosted by the School of Mathematics at Monash University in Melbourne, Australia.

CTAC is a flagship event of the ANZIAM Special Interest Group in Computational Mathematics. This biennial conference series, which began in 1981, offers an interactive forum for researchers developing and applying computational methods to solve engineering, scientific, and mathematical problems. Attendees are invited to submit papers based on their presentations for publication in the refereed Electronic Supplement of the ANZIAM Journal.

The editors, Ricardo Ruiz Baier, Bishnu Lamichhane, Quoc Thong Le Gia and Judy Bunder, thank all reviewers whose efforts helped ensure the quality of the proceedings.

This Special Section of the Proceedings of ANZIAM includes peer-reviewed papers from CTAC2024. The nine plenary speakers and one public lecture were as follows:

  • Santiago Badia, Monash University
    Finite element interpolated neural networks
  • Fleurianne Bertrand, Technische Universität Chemnitz
    Stress-based finite elements methods
  • Victor Calo, Curtin University
    Adaptive stabilized finite element methods: A variational multiscale approach for robust and accurate flow simulations
  • Carsten Carstensen, Humboldt-Universität zu Berlin
    Lower eigenvalue bounds for the harmonic and bi-harmonic operator
  • Vivien Challis, Queensland University of Technology
    Computational structural optimisation of piezoelectric materials
  • Nilima Nigam, Simon Fraser University
    Skeletal muscles: modeling and simulation
  • Vijay Rajagopal, University of Melbourne
    What do we need a computational physiology framework to predict single cell biology?
  • Dingxuan Zhou, University of Sydney
    Mathematical theory of structured deep neural networks
  • Terence O’Kane, CSIRO (Public Lecture)
    Mathematical methods and artificial intelligence in climate science

CTAC2024 attracted a vibrant mix of established and early-career researchers, including student contributors whose presentations were eligible for prizes sponsored by MoCaO and AMSI. In total, the program featured over 120 contributed talks across various themes, including numerical analysis, scientific computing, mathematical biology, hybrid and polytopal methods, and optimization.

CTAC2024 Organising Committee (Monash University)

  • Anne Boschman
  • Ngan Le
  • Janosch Rieger
  • Sergio Rojas Hernandez
  • Ricardo Ruiz Baier (Chair)
  • Jai Tushar
  • Segundo Villa-Fuentes
  • Jörn Wichmann
  • Mark Flegg

CTAC2024 Scientific Committee

  • Jennifer Flegg (University of Melbourne)
  • Frances Kuo (UNSW)
  • Bishnu Lamichhane (University of Newcastle)
  • Quoc Le Gia (UNSW)
  • Ricardo Ruiz Baier (Monash University)
  • Linda Stals (ANU)
  • Ian Turner (QUT)

Acknowledgements
Monash University acknowledges the Traditional Owners of the lands on which its campuses are located—the people of the Kulin Nations—and pays respects to their Elders past and present. We acknowledge that Indigenous Australians were this country’s first scientists.

CTAC2024 was made possible through generous support from:

  • School of Mathematics, Monash University
  • Australian Mathematical Sciences Institute (AMSI)
  • Mathematics of Computation and Optimisation (MoCaO) special interest group of AustMS
  • Society for Industrial and Applied Mathematics (SIAM)
  • ANZIAM Student Support Scheme

Published

2025-11-18

Issue

Section

Proceedings Computational Techniques and Applications Conference