Career Goal

To engage and inspire Far North Queensland about the importance and value of digital technology.

Career & Activities

An experienced Digital Technology Academic with a demonstrated history of working in the higher education industry; skilled in computer science, information technology, teaching & learning, community outreach, software development and programming. CSIRO STEM professionals in Schools volunteer. Advance Queensland Digital Champion Alumni. Co-founder of AP PowerShot.

Career Duties

1997 - now: James Cook University, Cairns

IT Subject Coordination; Face-to-face & Online Lecturing Undergraduate and Master-level Subjects; Design Thinking Strand Coordinator; Honours Supervision; PhD Supervision (Primary & Secondary); Chairing Candidature Committees; IT Marketing Coordination; Design Sprint Coordination; Industry Engagement Coordinator.


1992 - 1995: James Cook University, Townsville, BSc (Hons)

GPA 6.13. Awarded the 1992 JCU Byte Centre Prize in Computer Science in 1993 for best overall first year Computer Science student. Awarded the JCU Australian Computer Society Prize in 1994 for best overall theoretical ability of a third year Computer Science student.

1996 - 2002: James Cook University, Cairns, PhD

Thesis: “Traversal Grammars” – a graph traversal paradigm based on vertex replacement graph grammars. Key output: “Graph traversal and graph transformation. Theoretical Computer Science, 321 (2004). pp. 215-231”.

Recent Career Awards

James Cook University “Inclusive Practice Award” 2018; and “Citation for Outstanding Contributions to Student Learning” 2019.

Australian Awards for University Teaching 2020 Citation Winner for Outstanding Contributions to Student Learning 2020.

Information Technology Expertise

  • Fundamentals of programming and debugging (Python, Java, C#, C/C++, Swift)
  • Object-oriented programming skills (Python, Java, C#, C++, Swift, Kotlin)
  • Front-end and back-end web apps (HTML5, CSS, JavaScript)
  • Mobile App Development (Android, iOS)
  • Agile Software Development Principles, Practices and Design Patterns
  • Design Thinking, Design Sprints, Lean UX, SCRUM
  • Games and Simulation (Unity)
  • Work-integrated learning
  • CP2406: Programming III (Level 2; CNS)
  • CP2410: Algorithms and Data Structures (Level 2; CNS & TSV)
  • CP3000: Research Topics in Technology (Level 3; CNS)
  • CP3102: Multidisciplinary Project (Level 3; TSV)
  • CP3103: Independent Project (Level 3; CNS & TSV)
  • CP3405: Design Thinking III (Level 3; CNS & TSV)
  • CP3406: Mobile Computing (Level 3; CNS)
  • CP3501: Deep Learning (Level 3; CNS)
  • CP5046: ICT Project 1: Analysis and Design (Level 5; CNS)
  • CP5047: ICT Project 2: Implementation and Commissioning (Level 5; CNS)
  • CP5307: Advanced Mobile Technology (Level 5; CNS)
  • CP5607: Advanced Human Computer Interaction (Level 5; CNS)
Research Disciplines
Socio-Economic Objectives
  • 2017 - CSIRO STEM Professional
  • 2017 - Advance Queensland Community Digital Champion

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers

ResearchOnline@JCU stores 40+ research outputs authored by Dr Jason Holdsworth from 2004 onwards.

Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Department of Industry - Innovations Connections

ResPax Digital Passbook (Phase II)

Indicative Funding
$98,304 over 1 year
To continue the Phase I of project to further develop digital tools for collecting tourism data in the region to enable better decisionmaking.
Ickjai Lee, Jason Holdsworth, Kurt Schoenhoff, Thomas Napier and Jarod Hine (College of Science & Engineering)
Data mining; Data integration; Artificial intelligence; Information systems

Australian Council of Deans of ICT (ACDICT) Learning & Teaching Academy (ALTA) - Learning & Teaching Grant Scheme

Sustainably enhancing social presence while balancing teacher and student wellbeing

Indicative Funding
$11,591 over 1 year
As Australia moves to a post-Covid normal, online blended learning approaches in tertiary education have become more prevalent. Studies have shown that developing social presence for students and staff can lead to increased wellbeing. However, the steps to ensuring social presence are not well understood or studied in the Information Systems discipline. This project will investigate both student and staff perspectives in supporting wellbeing through social presence and highlight best practices at two Australian universities (JCU and QUT) and in the wider community. Outputs will be best practice guidelines and academic papers highlighting these learnings.
Dianna Hardy, Jason Holdsworth, Art (Hemmaphan) Suwanwiwat, Trina Myers, Jason Watson, Sharon Altena and Wasana Bandara (Indigenous Education & Research Centre, College of Science & Engineering and Queensland University of Technology)
Social Presence; Student Wellbeing; Educator Wellbeing; Online Teaching; scalability; Blended Learning

Department of Industry - Innovations Connections

Develop the ResPax (digital) Passbook

Indicative Funding
$102,429 over 1 year
To develop digital tools for collecting tourism data in the region to enable better decision-making through various data mining approaches.
Ickjai Lee, Jason Holdsworth, Kurt Schoenhoff, Thomas Napier and Jarod Hine (College of Science & Engineering)
Data Mining; Data Integration; Artificial Intelligence; Information Systems

Tropical Australian Academic Health Centre Limited - Research Seed Grants

Immersive virtual reality in a northern Queensland haemodialysis unit: A cross-over randomised controlled feasibility trial.

Indicative Funding
$18,000 over 2 years (administered by Townsville Hospital and Health Service)
This study will explore the feasibility and acceptability of an immersive VR experience for patients attending a north Queensland haemodialysis service and provide information to inform a multi-centre randomised controlled trial. Over the 4 week intervention period, participants will be offered a headset with vision of the local natural environment and with audio. Outcomes will be measured by participants: acceptability and usability of VR; attendance at scheduled dialysis sessions and adherence to lifestyle modifications; wellbeing, anxiety and depression; adverse events such as nausea. The feasibility and acceptability of the equipment from the clinicians? perspectives will also be explored.
Wendy Smyth, Cate Nagle, Joleen McArdle, John Body-Dempsey, Valli Manickam, Anne Swinbourne, Ickjai Lee and Jason Holdsworth (Townsville Hospital and Health Service, College of Healthcare Sciences and College of Science & Engineering)
Virtual reality; Haemodialysis; Distraction Therapy

The World Wide Fund for Nature, Australia - Contract Research

JCU Spawning Potential app development

Indicative Funding
$37,500 (administered by World Wide Fund for Nature Australia)
The central biological measure of success for the ?Community- Based Sustainable Development in Solomon Island and PNG Coastal Communities? projects are trends in the Spawning Potential Ratio (SPR) of key target species. This Project seeks to refine the Spawning Potential Survey (SPS) App (JCU FISH) to include spatial reporting tools that can be utilised by survey participants to monitor spatial and temporal trends in SPR. This project extends from an earlier ?proof of concept? project funded by the WWF Ocean Practice where the potential for automatic identification and measurement of target species from a single image was realised.
Marcus Sheaves, Ickjai Lee, Jason Holdsworth and Michael Bradley (College of Science & Engineering)
Reef Fish; Pacific Islands; Fisheries; App; Catch data; Monitoring

Fisheries Research & Development Corporation - Annual Competitive Round

Application of a machine learning approach for effective stock management of abalone

Indicative Funding
$115,649 over 2 years
Determining the number and size distribution of abalone present at various stages of production is critical information for effective stock management. Currently the Australian abalone aquaculture industry spends in the order of $25,000 per annum, per farm, gathering this information by hand. However, the resulting data is of mediocre quality, is limited in its scope, and collecting the data causes stress to the animals which can compromise growth and survival. Automated counting and measuring of abalone will increase farm efficiency and productivity in the short term and, in the longer term, will provide an advanced platform for further R&D improvements. Artificial intelligence and machine learning has now matured to a point that accurately counting and measuring abalone is possible using this approach. This project would involve the development, training and validation of a machine learning model to identify, segment and measure quantitative abalone traits in production systems, and render the product data to be accessible and applicable for farmers.
Jan Strugnell, Marcus Sheaves, Carlo Mattone, Ickjai Lee, Joanne Lee, Jason Holdsworth and Art (Hemmaphan) Suwanwiwat (College of Science & Engineering)
Abalone (Haliotidae); Machine Learning

World Wide Fund for Nature (US) - Contract Research

From Coastal Communities to Cloud Communities ? New Application and Artificial Intelligence to Monitor Fish Stocks Using Photos ? Application Development

Indicative Funding
$53,100 over 1 year
The Project aims at develop an artificial intelligence capable to autonomously identify fish species and number from images collected at fish markets in remote location, so that effective catch rate can be evaluated and management policies can be developed.
Marcus Sheaves, Carlo Mattone, Michael Bradley, Joanne Lee, Jason Holdsworth, Art (Hemmaphan) Suwanwiwat and Ickjai Lee (College of Science & Engineering)
Artificial Intelligence; Phone App; Caught Fish; Catch Rate

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

  • Autonomous CNN architecture selection and dynamic modification through proven convolutional architectures and transfer learning. (PhD , Secondary Advisor)
  • Efficient Semantic Segmentation using Deep Learning. (PhD , Secondary Advisor)
  • Deep Learning Augmented Anomaly Detection for Flight Data (PhD , Secondary Advisor)
  • Development of high-level programming tools to improve the robustness of Internet of Things networks. (PhD , Secondary Advisor)
  • Unravelling the misuse of large language models for phishing attacks (Masters , Secondary Advisor)

These are the most recent metadata records associated with this researcher. To see a detailed description of all dataset records, visit Research Data Australia.

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