Dr Mathew Walter
Profiles

Dr Mathew Walter

Research Fellow

School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)

Biography

Biography

Qualifications

BSc (Hons) Mathematics with Finance
PhD in Artificial Intelligence
Teaching

Teaching

Teaching interests

Undergraduate:
  • COMP3003 Machine Learning
  • COMP3006 Full-Stack Development
  • AINT252 Computation Theory and AI
  • COMP0001 Topics in Computer Science
  • PUSL3132 Ethical Hacking (Penetration Testing)
Postgraduate:
  • COMP5010 Topics in Applied Artificial Intelligence
  •  COMP5013 Topics in Applied Artificial Intelligence 
  • COMP5003 Ethical Hacking 
Research

Research

Research interests

  • Optimisation with Evolutionary Computing
  • Artificial Intelligence 
  • Visualisation
  • Machine Learning and Data Science
  • Cyber Security
  • Adversarial AI
  • Maritime Autonomous Systems Security
  • Explainable AI (XAI)
Publications

Publications

Key publications

Key publications are highlighted

Journals
Articles
Tam K, Walter M, Barrett A & Walker D (2023) 'Adversarial AI Testcases for Maritime Autonomous Systems' AI, Computer Science and Robotics Technology , DOI Open access
Walter MJ, Walker DJ & Craven MJ (2022) 'Visualising Population Dynamics to Examine Algorithm Performance' IEEE Transactions on Evolutionary Computation , DOI Open access
Chapters
Walter M, Manikowski P, Craven M & Walker D (2024) 'Explaining Optimisation of Offshore Wind Farms using Metaheuristics' in Kulkarni AJ; Gandomi AH Handbook of Formal Optimization Springer , DOI Open access
Walter MJ, Manikowski PL, Craven MJ & Walker DJ (2024) 'Explaining Optimisation of Offshore Wind Farms Using Metaheuristics' Handbook of Formal Optimization Springer Nature Singapore 1-14 Publisher Site , DOI
Walter MJ, Walker DJ & Craven MJ (2020) 'Visualising Evolution History in Multi- and Many-objective Optimisation' in Bäck T; Preuss M; Deutz AH; Wang H; Doerr C; Emmerich MTM; Trautmann H Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II Springer 299-312 Publisher Site
Conference Papers
Walter M, Walker D & Craven M (2022) 'An Explainable Visualisation of the Evolutionary Search Process' ECXAI — Evolutionary Computation and Explainable AI Workshop of GECCO 2022 7-/-0/20227-/-0/2022Association for Computing Machinery 1794-1802 , DOI Open access
Walter M, Walker D & Craven M (2020) 'Visualising Evolution History in Multi- and Many-Objective Optimisation' Parallel Problem Solving from Nature 2020 9-/-0/20209-/-0/2020Springer Verlag 299-312 , DOI Open access