About
Dr Muller is a lecturer in Computer Science at Swansea University.
Dr Bertie Muller
Senior Lecturer
Computer Science
Office - 336
Third Floor
Computational Foundry
Bay Campus
Third Floor
Computational Foundry
Bay Campus
Areas Of Expertise
- Artificial Intelligence
- Technology Ethics
- Formal Languages
- Mathematical Logic
- Models of Concurrency
- Formal Verification
Publications
Research Highlights
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Williams, S., Ware, J., Müller, B., & Muller, B. (2019). Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. In Artificial Intelligence in Health-47). Springer Nature Switzerland AG.
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Williams, S., Ware, J., & Muller, B. (2018). Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity. In Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018 (pp. 212-223). AIH 2018 - Joint Workshop on AI in Health.SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43607
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Williams, S., Müller, B., & Muller, B. (2017). Agents and Dementia — Smart Risk Assessment. In Multi-Agent Systems and Agreement Technologies (pp. 277-284). EUMAS 2016.
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Abdullahi, I. & Muller, B. (2016). Towards Efficient Verification of Elementary Object Systems. In Proceedings of the 25th International Workshop on Concurrency, Specification and Programming (pp. 86-100). Concurrency, Specification, and Programming (CS&P 2016).SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50306
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Muller, B. & Betts, J. (2014). Engineering MAS - A Device Integration Framework for Smart Home Environments.. Fundamenta Informaticae, 135(4), 341-353.
All Research
Journal Articles
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Rees, C. & Muller, B. (2022). All that glitters is not gold: trustworthy and ethical AI principles. AI and Ethics, 3, 1241-1254.
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Muller, B. & Betts, J. (2014). Engineering MAS - A Device Integration Framework for Smart Home Environments.. Fundamenta Informaticae, 135(4), 341-353.
Conference Contributions
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Muller, B. (2024). Future Proofing Systems Engineering: Reliability, Responsibility, and Resilience. In Intelligent Distributed Computing XVI (pp. 13-16). Springer Nature Switzerland.
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Wilson, B., Scott, D., Roach, M., Nielsen, E., & Muller, B. (2024). Designing for Situated AI-Human Decision Making: Lessons Learned from a Primary Care Deployment. In Proceedings of the 1st International Workshop on Designing and Building Hybrid Human–AI Systems (SYNERGY 2024), Arenzano (Genoa), Italy, June 03, 2024.SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67653
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Kovvuri, V., Liu, S., Seisenberger, M., Fan, X., Muller, B., & Fu, H. (2022). On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study. In 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-8). IEEE.
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Williams, S., Ware, J., Müller, B., & Muller, B. (2019). Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia. In Artificial Intelligence in Health-47). Springer Nature Switzerland AG.
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Williams, S., Ware, J., & Muller, B. (2018). Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity. In Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018 (pp. 212-223). AIH 2018 - Joint Workshop on AI in Health.SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43607
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Williams, S., Müller, B., & Muller, B. (2017). Agents and Dementia — Smart Risk Assessment. In Multi-Agent Systems and Agreement Technologies (pp. 277-284). EUMAS 2016.
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Abdullahi, I. & Muller, B. (2016). Towards Efficient Verification of Elementary Object Systems. In Proceedings of the 25th International Workshop on Concurrency, Specification and Programming (pp. 86-100). Concurrency, Specification, and Programming (CS&P 2016).SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50306
Supervision
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Novel uses of counterfactuals for improving Post-Hoc explanations (current)
PhDOther supervisor: Dr Alma Rahat -
User Account Authentication Methods, Preferences, and their Efficacy (current)
PhDOther supervisor: Dr Nicholas Micallef -
Lessons for Extremist Content Moderation: Capturing a Visual Style of Extreme Right Imagery (awarded 2025)
PhDOther supervisor: Dr Lella Nouri -
Explainable Artificial Intelligence across Domains: Refinement of SHAP and Practical Applications (awarded 2024)
PhDOther supervisor: Dr Monika Seisenberger
Taught Modules
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CS-265 Artificial Intelligence
CS-265 is an introduction to Artificial Intelligence (AI) focusing primarily on reasoning and problem solving as a search for a solution. The central notions of a rational agent and multi-agent systems are used to introduce concepts like beliefs, desires, and intentions that are fundamental to the search for solutions within the context of an observable environment. Further aspects of symbolic AI such as knowledge representation and expert systems, planning, and language processing will be covered. All of these topics are embedded into a human-centred perspective of AI.
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CSC325 Artificial Intelligence
CSC325 is an introduction to Artificial Intelligence (AI) focusing primarily on reasoning and problem solving as a search for a solution. The central notions of a rational agent and multi-agent systems are used to introduce concepts like beliefs, desires, and intentions that are fundamental to the search for solutions within the context of an observable environment. Further aspects of symbolic AI such as knowledge representation and expert systems, planning, and language processing will be covered. All of these topics are embedded into a human-centred perspective of AI.
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CSCM08 Information Security Management
This module addresses the theory and practice of information security in the context of UK and international best practice. In particular, it considers information as an asset and explores where data comes from, who collects data, who owns the data and what they can do with it, within and outside of legal constraints. The module further looks into theories of monitoring and surveillance, digital identity, legal and regulatory frameworks, data protection, cybercrime, business resilience, disaster recovery, and security audits.