Prof Kate Smith-Miles
Pro Vice-Chancellor (Research Capability)
Office of the DVC Research
280 Scholarly works
14 Projects
HIGHLIGHTS
2026
Journal article
Adaptive management and optimisation of stream monitoring network design through an integrated monitoring and modelling approach
DOI: 10.1016/j.jhydrol.2025.1348682026
Journal article
Spatio-temporal optimization of the operation of real-time controlled rainwater harvesting systems to improve streamflow regimes
DOI: 10.2166/wrd.2025.0452026
Research grants (ARC, NHMRC, MRFF)
ARC Centre of Excellence in Mathematics for Quantum Era Security and Trust
2025
Journal article
On the diversity of test instances for studying branch-and-bound performance
DOI: 10.1111/anzs.124412022
Research contracts (non-grants)
Interrogating and Optimising the Waterways Long-Term Water Quality Monitoring Network
2022
Journal article
Coordinated Control Can Deliver Synergies Across Multiple Rainwater Storages
DOI: 10.1029/2021WR0302662020
Research grants (ARC, NHMRC, MRFF)
Optimising Progress Towards Elimination of Malaria
RECENT SCHOLARLY WORKS
2025
Journal article
Harnessing the strengths of machine learning and geostatistics to improve streamflow prediction in ungauged basins; the best of both worlds
DOI: 10.1016/j.jhydrol.2025.1339362025
Journal article
The travelling salesperson problem and the challenges of near-term quantum advantage
DOI: 10.1088/2058-9565/add61d2025
Journal article
A block-building constraint programming model for the container loading problem
DOI: 10.1016/j.cor.2025.1071112025
Journal article
Understanding instance hardness for optimisation algorithms: Methodologies, open challenges and post-quantum implications
DOI: 10.1016/j.apm.2025.1159652025
Book Chapter
Exploratory Data Analysis
DOI: 10.1007/978-3-662-69359-9_2192025
Journal article
On the Instance Dependence of Parameter Initialization for the Quantum Approximate Optimization Algorithm: Insights via Instance Space Analysis
DOI: 10.1287/ijoc.2024.05642025
Book Chapter
Instance Space Analysis for Visualization of Algorithmic Trust
DOI: 10.1007/978-3-030-93954-0_44-1
RECENT PROJECTS
2025
Research grants (ARC, NHMRC, MRFF)
Multifidelity Data-Driven Autonomous Precision Robotic Polymer Synthesis