Dr. Giles Oatley
Senior Lecturer, Information Technology
Dr Giles Oatley’s background in cognitive science and AI informs his research expertise in modelling human behaviour, with a specific interest in the aspects of behaviour and personality that data can reveal. Dr Oatley’s current research covers health and sport informatics, crime informatics and sensor-based solutions for smart cities.
Giles’ health informatics work includes collaboration with engineering and nursing colleagues to develop smart textiles for people with dementia, for quality of life and non-invasive assessment of cognitive abilities. He continues to work in performance and sports injury analysis and has co-editing a textbook on Sports Data Analytics (Routledge, 2018).
Giles is Lecturer in information technology at Federation University Australia. He received his PhD in artificial intelligence from the University of Sunderland, UK in 2000 and was Reader (Associate Professor) in intelligent systems at Cardiff Metropolitan University before continuing his academic career in Australia since 2016.
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs
Exploring the Relationship between Testosterone and Diabetes within the UK Biobank Data
Behavioral Modeling and Cognitive Assessment in Smart Textiles
Themes in data mining, big data, and crime analytics
This article examines the impact of new AI-related technologies in data mining and big data on...
Behaviour tracking: using geospatial and behaviour sequence analysis to map crime
Crime is a complex phenomenon. To understand the commission of crime, researchers must map both...
Data-Driven Decision-Making in COVID-19 Response: A Survey
COVID-19 has spread all over the world, having an enormous effect on our daily life and work. In...
Non-invasive Smartphone Use Monitoring to Assess Cognitive Impairment
Background: There are many tests for the early detection of Mild Cognitive Impairment (MCI) to...
Real-time localisation system for GPS-denied open areas using smart street furniture
Smart textiles for improved quality of life and cognitive assessment
Forensic intelligence and the analytical process
A review was undertaken of the developments made with integrating forensic evidence into the...
Wifi-based localisation datasets for No-GPS open areas using smart bins
In recent years, Wifi-based localisation systems have gained significant interest because of the...
Adaptive low-power wireless sensor network architecture for smart street furniture-based crowd and environmental measurements
Street furniture such as bins, seats and bus shelters can become 'smart' with the inclusion of...
A review and recommendations for the integration of forensic expertise within police cold case reviews
Purpose: Cold case review teams and the processes that they adopt in their endeavour to solve...
Crime concentration in Perth CBD: a comparison of officer predicted hot spots, data derived hot spots and officer GPS patrol data
In an applied criminology context, recent meta-analyses and randomized control trials have...
On average, a professional rugby union player is more likely than not to sustain a concussion after 25 matches
OBJECTIVES: To investigate concussion injury rates, the likelihood of sustaining concussion...
The Current and Future Role of Smart Street Furniture in Smart Cities
Recently, street furniture, including bins, seats, and bus shelters, has become smart as it has...
Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance
Positive design of smart interactive fabric artifacts for people with dementia
Confronting the expected rise of dementia as a major health care problem raises many questions...
Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
Understanding complex user behaviour under various conditions, scenarios and journeys is...
M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children
With estimates of prevalence between 1 in 68 and 1 in 88 children [11], accurate and early...
CCTV as a smart sensor network
With the emergence of so-called 'smart CCTV' being able to recognise the precursors for disorder...
Digital footprints: Envisaging and analysing online behaviour
Our long-term research goal is the development of complex (and adaptive) behavioural modelling...
Measuring UK crime gangs: a social network problem
This paper describes the output of a study to tackle the problem of gang-related crime in the UK;...
Changing faces: Identifying complex behavioural profiles
There has been significant interest in the identification and profiling of insider threats,...
Exploring UK crime networks
This paper describes our experiences with three different crime networks in the UK: burglary,...
Measuring UK crime gangs
This paper describes the output of a study to tackle the problem of gang-related crime in the UK;...
Treating alcohol-related violence: A feasibility study of a randomized controlled trial in prisons
Purpose: There is a lack of good-quality outcome evaluations of interventions for offenders whose...
‘The First Day of Summer’: Parsing Temporal Expressions with Distributed Semantics
Detecting and understanding temporal expressions are key tasks in natural language processing...
R U:-) or:-(? character- vs. word-gram feature selection for sentiment classification of OSN corpora
Binary sentiment classification, or sentiment analysis, is the task of computing the sentiment of...
Data mining and crime analysis
An essential component of criminal investigation involves the interrogation of large databases of...