
Professor Jonathan Lawry
B.Sc.(C.N.A.A.), Ph.D.(Manc.)
Current positions
Contact
Press and media
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Projects and supervisions
Research projects
- Information Theory for Interactive Distributed AI- Principal Investigator- Role- Principal Investigator - Managing organisational unitSchool of Mathematics- Dates- 01/02/2024 to 31/01/2029 
- Prosperity Partnership with Thales- Principal Investigator- Role- Co-Investigator - Managing organisational unit- Dates- 01/10/2017 to 31/03/2023 
- Opinion Pooling in Robot Swarms- Principal Investigator- Managing organisational unit- Dates- 04/07/2016 to 03/10/2016 
- FLOOD RISK MANAGEMENT CONSORTIUM (FRMRC) PHASE 2- Principal Investigator- Managing organisational unit- Dates- 01/08/2008 to 01/08/2011 
- WORKSHOP ON SOFT METHODS IN PROBABILITY AND STATISTICS- Principal Investigator- Managing organisational unit- Dates- 01/04/2006 to 01/07/2006 
Thesis supervisions
- Exploiting Vagueness for Multi-Agent Consensus- Supervisors
- Multi-source heterogeneous intelligence fusion- Supervisors
- Development of Flight Rules and Distributed Traffic Management for Autonomous UAVs- Supervisors
- Towards Context-Aware Recommender Systems for Tourists- Supervisors
- Imprecision in Social Learning- Supervisors
- Heterogeneity in Multi-Agent Systems- Supervisors
- Natural language claims consistency checking using probabilistic reasoning with explanation- Supervisors
- Tree Models for Interpretable Agents- Supervisors
- Representation learning for OOD detection and explanation- Supervisors
Publications
Recent publications
15/04/2025Imprecise belief fusion improves multi-agent social learning
Physica A: Statistical Mechanics and its Applications
Collective Anomaly Perception During Multi-Robot Patrol
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback
AIAA SCITECH 2024 Forum
The benefits of interaction constraints in distributed autonomous systems
Distributed Autonomous Robotic Systems.
Typicality-based point OOD detection with contrastive learning
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)


