Overview
Background
Dr Archie Chapman is an Associate Professor in Computer Science in the School of IT and Electrical Engineering.
Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.
Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.
Availability
- Associate Professor Archie Chapman is:
- Available for supervision
- Media expert
Fields of research
Qualifications
- Bachelor, The University of Queensland
- Doctor of Philosophy, University of Southampton
Works
Search Professor Archie Chapman’s works on UQ eSpace
2010
Conference Publication
EA(2): the winning strategy for the inaugural lemonade stand game tournament
Sykulski, Adam M., Chapman, Archie C., de Cote, Enrique Munoz and Jennings, Nicholas R. (2010). EA(2): the winning strategy for the inaugural lemonade stand game tournament. 19th European Conference on Artificial Intelligence (ECAI)/6th Conference on Prestigious Applications of Intelligent Systems (PAIS), Lisbon, Portugal, 16-20 August 2010. Amsterdam, Netherlands: IOS Press. doi: 10.3233/978-1-60750-606-5-209
2010
Conference Publication
Automated planning in repeated adversarial games
De Cote, Enrique Munoz, Chapman, Archie C., Sykulski, Adam M. and Jennings, Nicholas R. (2010). Automated planning in repeated adversarial games. 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010, Catalina Island, CA United States, 8-11 July 2010. Arlington, VA United States: AUAI Press.
2009
Conference Publication
Decentralised dynamic task allocation: a practical game-theoretic approach
Chapman, Archie C., Micillo, Rosa Anna, Kota, Ramachandra and Jennings, Nicholas R. (2009). Decentralised dynamic task allocation: a practical game-theoretic approach. 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), Budapest, Hungary, 10-15 May 2009. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
2008
Conference Publication
Learn while you earn: Two approaches to learning auction parameters in take-it-or-leave-it auctions
Chapman, Archie C., Rogers, Alex and Jennings, Nicholas R. (2008). Learn while you earn: Two approaches to learning auction parameters in take-it-or-leave-it auctions. 7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Estoril, Portugal, 12 - 16 May 2008. New York, NY United States: Association for Computing Machinery.
2004
Other Outputs
Emergent conventions and equilibrium selection : learning dynamic in repeated stag hunt games
Chapman, Archie C. (2004). Emergent conventions and equilibrium selection : learning dynamic in repeated stag hunt games. Honours Thesis, School of Economics, The University of Queensland. doi: 10.14264/223143
Supervision
Availability
- Associate Professor Archie Chapman is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
-
Electricity market contract design
New contracts for electrical power system servics have the potential to reduce costs by unlocking or harnessing load-side flexibility. The goal of this project is find ways to financially link customer and building load flexibility with wholesale market dispatch, pricing and risk management.
Supervision history
Current supervision
-
Doctor Philosophy
Scaling Towards Solving Realistic Environments with Combined Planning and Learning
Principal Advisor
-
Doctor Philosophy
Coupling Customer Energy Resources and Dynamic Operating Envelopes Towards Firm Energy Solutions
Principal Advisor
Other advisors: Dr Joe Lane
-
Doctor Philosophy
Demand Profile Modeling for Low-Voltage Distribution System
Principal Advisor
Other advisors: Dr Miao Xu
-
Master Philosophy
Essays on electricity market design for the energy transition
Associate Advisor
Other advisors: Professor Flavio Menezes
-
Doctor Philosophy
Multi-objective optimisation and multi-agent learning for IoT devices.
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
-
Doctor Philosophy
Analysis of complex hydrogen energy networks for Australian conditions
Associate Advisor
Other advisors: Dr Yuanshen Lu, Dr Alexander Klimenko
-
Doctor Philosophy
Improving neuroevolution using ideas from deep learning and optimization
Associate Advisor
Other advisors: Associate Professor Marcus Gallagher
Completed supervision
-
2024
Doctor Philosophy
Training Robust Deep Reinforcement Learning Policies in the Real World
Principal Advisor
Other advisors: Dr Pauline Pounds
-
2022
Doctor Philosophy
Fast and Robust Adaptive State Estimation for Large-scale Integration of Distributed Energy Resources
Principal Advisor
Media
Enquiries
Contact Associate Professor Archie Chapman directly for media enquiries about:
- Battery energy storage
- Electricity markets
- Home energy management
- Rooftop PV
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