STAFF PROFILE
Professor Lin Padgham
Position:
Emeritus Professor
College / Portfolio:
STEM College
Phone:
+61399253214
Email:
lin.padgham@rmit.edu.au
Campus:
City Campus
11 PhD Completions and 1 Masters by Research Completions
- Bulumulla, C.,Singh, D.,Padgham, L.,Chan, J. (2022). Multi-level simulation of the physical, cognitive and social In: Computers, Environment and Urban Systems, 93, 1 - 13
- Waters, M.,Padgham, L.,Sardina, S. (2020). Optimising Partial-Order Plans Via Action Reinstantiation In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-2020), Yokohama, Japan, 7-15 January 2021
- de Silva, L.,Padgham, L.,Sardina, S. (2019). HTN-like solutions for classical planning problems: An application to BDI agent systems In: Theoretical Computer Science, 763, 12 - 37
- Waters, M.,Nebel, B.,Padgham, L.,Sardina, S. (2018). Plan Relaxation via Action Debinding and Deordering In: Proceedings of the 28th International Conference on Automated Planning and Scheduling (ICAPS 2018), Delft, The Netherlands, 24-29 June 2018
- Bulumulla, C.,Chan, J.,Padgham, L. (2018). Enhancing Diffusion Models by Embedding Cognitive Reasoning In: Advances in Social Network Analysis and Mining, Barcelona, 28-31 August, 2018
- Bulumulla, C.,Padgham, L.,Dhirendra, S.,Chan, J. (2017). The importance of modelling realistic human behaviour when planning evacuation schedules In: Proceedings of the16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017), Sao Paulo, Brazil, 8 - 12 May 2017
- Winikoff, M.,Yadav, N.,Padgham, L. (2017). A new Hierarchical Agent Protocol Notation In: Autonomous Agents and Multi-Agent Systems, 32, 59 - 133
- Wickramasinghe, B.,Singh, D.,Padgham, L. (2017). Heuristic Data Merging for Constructing Initial Agent Populations In: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, 8 - 12 May 2017
- Singh, D.,Padgham, L. (2017). Emergency evacuation simulator (EES) - A tool for planning community evacuations in Australia (demonstration) In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, 19 -25 August 2017
- Padgham, L.,Singh, D. (2016). Making MATSim Agents Smarter with the Belief-Desire-Intention Framework In: The Multi-Agent Transport Simulation MATSim, Ubiquity Press, London
- Bushfire evacuation planning for Mt Alexander Shire. Funded by: Telematics Trust Grant 2016 from (2016 to 2017)
- Decision Making for Lifetime Affordable and Tenable City Housing. Funded by: ARC Linkage Grant 2013 from (2014 to 2016)
- Spoken Conversational Search: Contextual interactive techniques to support effective information search over a speech-only communication channel. Funded by: ARC Linkage Grant 2013 from (2014 to 2017)
- Interactive Simulation for Bushfire Evacuation Planning. Funded by: Telematics Trust Telematics Course Development Fund Grant 2014 from (2014 to 2015)
- Sustainable and Affordable Housing Assessment Tool. Funded by: Telematics Trust Grant pre-2014 from (2013 to 2014)
Intelligent agents, agent based simulation, disaster management and urban planning applications, human behaviour in simulation, validation