Research Output per year
Personal profile
Roles and responsibilities
Head of School
Biography
Mark Reynolds obtained his Bachelors degree at The University of Western Australia (UWA) with honours in Pure Mathematics and Statistics, his PhD at Imperial College London (IC) in Computing and a Diploma in Education from UWA. After lecturing at Kings College London, he moved back to Perth and then to UWA as an Associate Professor. He is currently the head of the School of Physics, Mathematics and Computing. His research interests include AI, Machine Learning, Logic, Formal methods in Software Engineering and Optimisation.
Funding overview
Over $10M in funding over the last ten years for a variety of industry, ARC and CRC funded projects. Projects include the ARC Training Centre for Transforming Maintenance through Data Science, investigations of the use of AI and Video Analytics in Intelligent Transport Systems, Projects in the use of logic and formal methods for ensuring correctness of complex systems.
Teaching overview
Developed and taught courses in Software Engineering, Computational Modelling, Machine Learning, Human-Computer Interaction, Logic and Computation, Computational Geometry and Introductory Programming.
24 PhD Students (12 completed), 30 Masters students and 10 honour students
Keywords
- Artificial intelligence
- Automated reasoning
- Formal methods in software
- Formal specification and verification of concurrent systems
- Logic
- Logical foundations of computer science
- Modal/temporal logic
- Reasoning about agent interaction and collaboration
- Software engineering
- Verification of systems
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Temporal logic
Engineering & Materials Science
Logic
Mathematics
Electric power distribution
Engineering & Materials Science
Model checking
Engineering & Materials Science
Temporal Logic
Mathematics
Genetic algorithms
Engineering & Materials Science
Theorem proving
Engineering & Materials Science
Acoustic waves
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1985 2019
A modal aleatoric calculus for probabilistic reasoning
Gozzard, A., French, T. & Reynolds, M., 2019, Logic and its applications : 8th Indian Conference, ICLA 2019, Delhi, India, March 1-5, 2019, Proceedings. Aquil Khan, M. & Manuel, A. (eds.). Berlin: Springer, p. 52-63Research output: Chapter in Book/Conference paper › Conference paper
Probabilistic Reasoning
Calculi
Possible Worlds
Sound
Multi-agent Systems
A quest for a one-size-fits-all neural network: Early prediction of students at risk in online courses
Monllao Olive, D., Huynh, D., Reynolds, M., Dougiamas, M. & Wiese, D., 15 Apr 2019, In : IEEE Transactions on Learning Technologies. p. 171-183 13 p.Research output: Contribution to journal › Article
neural network
Students
Neural networks
student
learning
A supervised learning framework: using assessment to identify students at risk of dropping out of a MOOC
Monllaó Olivé, D., Huynh, D. Q., Reynolds, M., Dougiamas, M. & Wiese, D., 24 May 2019, In : Journal of Computing in Higher Education.Research output: Contribution to journal › Article
learning
student
educational setting
management
neural network
Enhanced Random Forest Algorithms for Partially Monotone Ordinal Classification
Bartley, C. W., Liu, W. & Reynolds, M., 28 Jan 2019, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019).Research output: Chapter in Book/Conference paper › Conference paper
Location prediction in large-scale social networks: an in-depth benchmarking study
Al Hasan Haldar, N., Li, J., Reynolds, M., Sellis, T. & Yu, J. X., 9 Jul 2019, In : VLDB Journal.Research output: Contribution to journal › Article
Benchmarking
Recommender systems
Disasters
Projects 2004 2023
ARC Training Centre for Transforming Maintenance through Data Science
Small, M., Hodkiewicz, M., Reynolds, M., Liu, W., While, R., French, T., Cripps, E., Cardell-Oliver, R., Rohl, A., Loxton, R., O'Halloran, K., Calo, V. & Tan, T.
Curtin University of Technology
1/01/19 → 31/12/23
Project: Research
Enhanced short and longer term network performance prediction capabilities through data-driven analytics and simulation
Biermann, S., Sun, C., Liu, W., Reynolds, M. & Olaru, D.
1/07/17 → 30/06/20
Project: Research
Planning intermodal and general logistics infrastructure for the future needs of Perth
Biermann, S., Bergey, P., Cardell-Oliver, R., Reynolds, M. & Standing, C.
1/07/17 → 30/09/19
Project: Research
Microgrid Architectures for Efficient Use of Renewable Energy Sources
Fernando, T., Iu, H. C., Reynolds, M. & Wong, K.
1/01/17 → 31/12/19
Project: Research