Presentations in 2023

• WOMBAT 2023 - Parallel Machine Scheduling Problem with Flexible Resources and Shift Consideration

  Ponpot Jartnillaphand
• WOMBAT 2023 - Cutting Plane Methods are Exact for Euclidean Max-Sum Problems

  Sandy Spiers
• CySpider: A Neural Semantic Parsing Corpus with Baseline Models for Property Graphs

  Ziyu Zhao
• Long-term Integrated Maintenance Scheduling Optimisation

  Yingying Yang
• Large Language Models for Failure Mode Classification: An Investigation

  Michael Stewart
• Cutting Plane Algorithms are Exact for Euclidean Max-Sum Problems

  Sandy Spiers
• Understanding the Difficulties of Optimisation

  Sandy Spiers
• Comparing two Bayesian Hierarchical Models for Estimating Individual Failure Time Distributions from Inspection Data with Noise

  Gabriel Gonzalez
• Optimising Maintenance Teams

  Ponpot Jartnillaphand
• Answering Logical Queries on Technical Knowledge Graphs

  (no authors)
• Simplified Cone Embeddings with Symbolic Operators for Complex Logical Queries poster presentation

  (no authors)
• Detecting transitions in dynamical and industrial systems

  Michael Small
• The Benefits of Reservoir Computing Embedding for Recurrence Analysis

  Braden Thorne
• Time Series Analysis with Machine Learning

  Michael Small
• Advances in Time Series Analysis With Reservoir Computing

  Braden Thorne
• Nonlinear time series analysis of industrial data with uncertainty

  Shuixiu Lu
• Estimation and Testing with Extended Sequential Order Statistics

  Tim Pesch
• Industrial data and the resurrection of ontologies

  Melinda Hodkiewicz
• Dynamical System Approaches to Online Fault Detection

  Braden Thorne
• IFORS 2023 - An exact cutting plane method for the Euclidean Max-Sum Diversity Problem

  Sandy Spiers
• SConE: Simplified Cone Embeddings with Symbolic Operators for Complex Logical Queries poster presentation

  (no authors)
• On outer approximation method for nonconvex binary optimization

  Hoa Bui
• WMC Presentation - Get the most out of condition monitoring data: Improving conveyor belt wear forecasts to make better maintenance decisions

  Ryan Leadbetter
• Transforming Maintenance Through Data Science

  Andrew Rohl
• Prof Andrew Rohl and Ryan Leadbetter - Roundtable panel discussion AI in Industry chaired by Karin Breitman

  Ryan Leadbetter
• Risk-Based Maintenance Scheduling Optimisation

  Srimali Gunasekara
• Get the most out of condition monitoring data: Improving conveyor belt wear forecasts to make better maintenance decisions.

  Ryan Leadbetter
• Complex Data Requires Creative Solutions

  Aloke Phatak
• Sequential Order Statistics for Non-identical Component Lifetimes

  Tim Pesch
• Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs

  (no authors)
• Critical Transitions in Complex Systems

  Michael Small
• Unlocking the Potential of Data Science: Developing an Assessment Tool for Organisational Capability

  Keyao Li
• Question Answering over Temporal Knowledge Graphs

  Sirui Li
• Estimation with Extended Single Order Statistics

  Tim Pesch
• Estimation with ESOS

  Tim Pesch
• EACL 2023 - CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs

  (no authors)
• CylE: Cylinder Embeddings for Multi-hop Reasoning over Knowledge Graphs - poster presentation

  (no authors)
• NLP meets ontologies for industrial knowledge graphs on maintenance texts

  Melinda Hodkiewicz
• Maintenance through Data Science: A Summary of Work to Date

  Andrew Rohl
• A fresh look at the Future of Technical Language Processing Research in the eyes of ChatGPT

  Wei Liu
• Questioning your maintenance data and get accurate answers

  Ziyu Zhao
• Industrial Knowledge Graphs for Maintenance applications

  Melinda Hodkiewicz
• DARE Presentation - Reliability Inference with Extended Sequential Order Statistics

  Tim Pesch
• DARE presentation - Conveyor Belt Wear Forecasting through a Bayesian Hierarchical Modeling Framework using Functional Data Analysis and Gamma Processes by Ryan Leadbetter

  Ryan Leadbetter
• AI on maintenance data - challenges to value delivery

  Melinda Hodkiewicz
• Ontologies meet NLP - with a spare parts perspective

  Melinda Hodkiewicz
• Ontologies meet NLP NLP-with a spare parts perspective

  Melinda Hodkiewicz