ProfessorDouglas Creighton
Deakin Distinguished Professor and Director, IISRI
Faculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
Orcid identifier0000-0002-9217-1231 (opens in a new tab)
- Deakin Distinguished Professor and Director, IISRIFaculty of Science Engineering and Built Environment/Institute for Intelligent Systems Research and Innovation
- +61 3 522 72179 (Work)
- Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216
BIO
Doug Creighton is a Professor of Systems Engineering and the Director of Deakin University’s Institute for Intelligent Systems Research and Innovation (IISRI), where he leads a team of 100 researchers at the forefront of innovation and technology in defence, transport, med tech and advanced manufacturing.
Professor Creighton’s career has focused on developing methods and algorithms to model complex systems, leading translational research in systems thinking, AI, and agent-based modelling and using these research outcomes to create novel and innovative technologies supporting solutions for real-world problems. His team of Autonomous Systems researchers successfully delivered an Australian Army (RICO) directly funded ‘Leader-Follower with Obstacle Avoidance’ project in 2023, using IISRI designed autonomy packs.
He is an internationally recognised voice in modelling and simulation research to support decision making in complex engineered systems and leads its Modelling and Simulation research program which has three core pillars, with each pillar supporting the design and development of new algorithms to address often messy, intractable problems in our communities and industrial engineered systems.
Pillar 1) Systems thinking and quantitative analytics: Extension of systems thinking methodologies through new metrics, analytics, automation and visualisation.
Pillar 2) Computational intelligence and learning algorithms: New methods for rapid uncertainty quantification and reduction in computational complexity to obtain non-dominated solutions for many-objective optimisation problems.
Pillar 3) Agent-based modelling and simulation: hierarchical agent-based multi-modal data fusion and analytics frameworks using discrete event simulation, machine learning, statistical and other complementary models for status prediction in dynamic, big data environments.
Creighton has developed algorithms for trust estimation to reflect a learning agent’s confidence in its impact estimation or prediction.
Professor Creighton’s career has focused on developing methods and algorithms to model complex systems, leading translational research in systems thinking, AI, and agent-based modelling and using these research outcomes to create novel and innovative technologies supporting solutions for real-world problems. His team of Autonomous Systems researchers successfully delivered an Australian Army (RICO) directly funded ‘Leader-Follower with Obstacle Avoidance’ project in 2023, using IISRI designed autonomy packs.
He is an internationally recognised voice in modelling and simulation research to support decision making in complex engineered systems and leads its Modelling and Simulation research program which has three core pillars, with each pillar supporting the design and development of new algorithms to address often messy, intractable problems in our communities and industrial engineered systems.
Pillar 1) Systems thinking and quantitative analytics: Extension of systems thinking methodologies through new metrics, analytics, automation and visualisation.
Pillar 2) Computational intelligence and learning algorithms: New methods for rapid uncertainty quantification and reduction in computational complexity to obtain non-dominated solutions for many-objective optimisation problems.
Pillar 3) Agent-based modelling and simulation: hierarchical agent-based multi-modal data fusion and analytics frameworks using discrete event simulation, machine learning, statistical and other complementary models for status prediction in dynamic, big data environments.
Creighton has developed algorithms for trust estimation to reflect a learning agent’s confidence in its impact estimation or prediction.
DEAKIN UNIVERSITY CURRENT APPOINTMENT
- Deakin Distinguished Professor and Director, IISRIDeakin University, Institute for Intelligent Systems Research and Innovation
ACADEMIC POSITIONS
- Deputy DirectorDeakin University, Institute for Intelligent Systems Research and Innovation (IISRI), Geelong, Australia2017 - 2023
- Professor of Systems EngineeringDeakin University, Institute for Intelligent Systems Research and Innovation (IISRI), Geelong, Australia2017 - present
- Associate Professor/Deputy DirectorDeakin University, Centre for Intelligent Systems Reseach, Geelong, Australia2013 - 2016
DEGREES
- Doctor of Philosophy, Industrial/Systems EngineeringDeakin University, Australia
- Bachelor of Engineering, Systems EngineeringAustralian National University, Australia
- Bachelor of Science, PhysicsAustralian National University, Australia
FIELDS OF RESEARCH
- Machine learning
- Artificial intelligence
- Computer vision and multimedia computation
- Data management and data science
- Modelling and simulation
AVAILABILITY FOR SUPERVISION
- Masters by Research and PhD supervision
AREA/FACULTY
- Faculty of Science Engineering and Built Environment
DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE
- Institute for Intelligent Systems Research and Innovation