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
(2023) 'Adversarial AI Testcases for Maritime Autonomous Systems' AI, Computer Science and Robotics Technology , DOI Open access
(2022) 'Visualising Population Dynamics to Examine Algorithm Performance' IEEE Transactions on Evolutionary Computation , DOI Open access
Chapters
(2024) 'Explaining Optimisation of Offshore Wind Farms using Metaheuristics' in Kulkarni AJ; Gandomi AH Handbook of Formal Optimization Springer , DOI Open access
(2024) 'Explaining Optimisation of Offshore Wind Farms Using Metaheuristics' Handbook of Formal Optimization Springer Nature Singapore 1-14 Publisher Site , DOI
(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
(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
(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