As a member of the AI and Software Engineering Laboratory (now part of the Industrial AI Research Centre) I was awarded my PhD in 2016 for my thesis entitled “Formal Models from Controlled Natural Language via Cognitive Grammar and Configuration”. For my PhD, I developed methods for computer-based understanding of textual software requirements with the aim of reducing errors and ambiguities in requirements, which cost substantial amounts to fix later in the software engineering process. Some of my PhD work was published in Elsevier's Information Systems journal. In 2015, I was awarded with 'Best Student Paper' at the International Conference on Conceptual Modelling (ER'15).
Aside from my PhD topic, I have coauthored... Read more
About me
As a member of the AI and Software Engineering Laboratory (now part of the Industrial AI Research Centre) I was awarded my PhD in 2016 for my thesis entitled “Formal Models from Controlled Natural Language via Cognitive Grammar and Configuration”. For my PhD, I developed methods for computer-based understanding of textual software requirements with the aim of reducing errors and ambiguities in requirements, which cost substantial amounts to fix later in the software engineering process. Some of my PhD work was published in Elsevier's Information Systems journal. In 2015, I was awarded with 'Best Student Paper' at the International Conference on Conceptual Modelling (ER'15).
Aside from my PhD topic, I have coauthored publications for projects on data interoperability in the Oil & Gas industry by integrating principles of Ontologies and Multi-level Modelling. The aim of which is to support the lifecycle activities of capital facilities, e.g. oil refineries, including the Digital Handover of design specifications from Engineering/Procurement/Construction organisations to those involved in the operation and maintenance of the such facilities. I am continuing this work as part of UniSA Industrial AI and the Australian OIIE Interoperability Laboratory, through which we provide shared infrastructure for development and testing, research, and conformance testing of systems leveraging the OIIE (Open Industrial Interoperability Ecosystem) Specifications.
My current research focuses on the extraction of behaviour models from textual descriptions. This work is being performed for the Defence Science and Technology Group where it will be used to improve the development of combat simulations across multiple simulation environments.
I also enjoy teaching and have been running the advanced programming course in C++ for the past few years, in which I introduce students to advanced concepts and try to relate them to the real-world requirements of Software Engineering.
Main research focus is on the Doctrine to Code Project in collaboration with DST Group (formerly DSTO), which aims to support the full lifecycle of developing and executing combat simulations. The project includes workflow extraction to acquire behaviour models from textual descriptions of behaviour, a modelling framework for the represention and refinement of behaviours, and automated model transformation and code generation capabilities to support the execution of behaviours across different simulation environments.
Research
Excludes commercial-in-confidence projects.
FEnEX 21.RP3.0106: Asset Reliability and Risk Interoperability to Optimise Maintenance Execution and Improve Risk Management of Energy Producers, Future Energy Exports CRC Limited, 01/07/2022 - 30/06/2024
Ongoing Development of Automated Techniques of Generating Behavioural Models for Constructive Combat Simulations, Defence Science & Technology Organisation, 23/03/2016 - 01/06/2016
Research
Research outputs for the last seven years are shown below. To see earlier years visit ORCID or Scopus
Open access indicates that an output is open access.
| Year | Output |
|---|---|
| 2018 |
Open access
15
|
| 2018 |
Open access
2
|
| 2015 |
8
6
1
|
| Year | Output |
|---|---|
| 2023 |
|
| 2023 |
|
| 2018 |
3
|
| Year | Output |
|---|---|
| 2022 |
Open access
|
| 2018 |
Open access
20
20
1
|
| 2017 |
Open access
20
18
1
|
| 2015 |
35
25
2
|
| Year | Output |
|---|---|
| 2022 |
Open access
|
| 2022 |
|
| 2021 |
Open access
|
| 2021 |
Open access
|
| 2021 |
Open access
|
| 2018 |
Open access
15
|
| 2018 |
Open access
2
1
|
| 2018 |
Open access
2
|
| 2017 |
Open access
1
|
| 2015 |
Open access
1
|
| 2015 |
8
6
1
|
| 2014 |
1
1
|
| 2014 |
|
| 2014 |
Open access
3
1
|
| 2013 |
4
4
1
|
| 2013 |
Open access
5
|
| 2013 |
Open access
1
|
| 2012 |
10
|
Research
Main research focus is on the Doctrine to Code Project in collaboration with DST Group (formerly DSTO), which aims to support the full lifecycle of developing and executing combat simulations. The project includes workflow extraction to acquire behaviour models from textual descriptions of behaviour, a modelling framework for the represention and refinement of behaviours, and automated model transformation and code generation capabilities to support the execution of behaviours across different simulation environments.
External engagement & recognition
| Organisation | Country |
|---|---|
| Defence Science and Technology Group | AUSTRALIA |
| Defence Science and Technology Organisation | AUSTRALIA |
| Johannes Kepler University of Linz | AUSTRIA |
| MIMOSA | UNITED STATES |
| MTConnect Institute | UNITED STATES |
| Texas State University | UNITED STATES |
| University of Graz | AUSTRIA |
| University of South Australia | AUSTRALIA |
| University of Western Australia | AUSTRALIA |
| University of Wollongong | AUSTRALIA |
Teaching & student supervision
Supervisions from 2010 shown
| Thesis title | Student status |
|---|---|
| A framework for natural language communication with uninhabited aerial vehicles in air traffic management | Current |
| FEnEx CRC PhD Open Analytics Interoperability | Current |
| Low Shot Learning for Information Extraction | Current |
| Proposition-based complex natural language inference using knowledge-augmented deep language models | Current |
| Synthetic data imputation for virtual sensors in adaptive digital twins | Current |
| VizDSL: a visual Domain Specific Language for modelling visualisation processes | Completed |
