Conference reviewing
- EUMAS 2026
- RLC 2026
- AAMAS 2025
- ECAI 2025
- RLC 2025
Workshop reviewing
- EUMAS 2026
- EWRL 2026
- IJCAI-ECAI NILA 2026
Journal reviewing
- Journal of Intelligent Manufacturing (2026, Springer)
- Applied Artificial Intelligence (2025, Taylor & Francis)
- Computers in Industry (2025, Elsevier)
2025 - 2026
Graduate Teaching Assistant
Department of Computing
Module demonstrating and marking across reinforcement learning, symbolic AI, and core machine learning teaching, with additional assessment support on practical and logic modules.
Demonstrating
- 70028 Reinforcement Learning
- 70031 Formal Methods for Safe AI
- 70077 Introduction to Symbolic AI
- 60012/70050 Introduction to Machine Learning
- 60034/70010 Deep Learning
Marking
- 70028 Reinforcement Learning
- 70031 Formal Methods for Safe AI
- 70077 Introduction to Symbolic AI
- 60012/70050 Introduction to Machine Learning
- 60034/70010 Deep Learning
- 40009 Computing Practical 1
- 50007.3 Computing Practical 2
- 40018 Discrete Mathematics, Logic & Reasoning
- 50009 Symbolic Reasoning
2024 - 2025
Graduate Teaching Assistant
Department of Computing
Demonstrating and marking support for first-year practical computing teaching.
- 40009 Computing Practical 1
2022 - 2025
Enterprise Pro Module Client Liaison
Teaching-adjacent industry service
Acted as an industry-facing client for student teams, reviewed prototypes and requirement documents, and supported groups through project scoping and feedback cycles.
- Provided requirements, clarification, and staged feedback for computing student teams
- Reviewed intermittent prototypes and final submissions
- Co-signed requirement documents and responded to project queries
- Supported three teams annually on projects linked to Rakusen's Ltd