• CP2406: Programming III (Level 2; CNS & TSV)
  • CP2408: Design Thinking and Creative IT Industries (Level 2; TSV)
  • CP3101: Professional Internship (Level 3; CNS & TSV)
  • CP3102: Multidisciplinary Project (Level 3; CNS & TSV)
  • CP3103: Independent Project (Level 3; CNS & TSV)
  • CP3405: Design Thinking and Project Management (Level 3; CNS & TSV)
  • CP3406: Mobile Computing (Level 3; CNS & TSV)
  • CP5307: Advanced Mobile Technology (Level 5; CNS & TSV)
  • 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 33+ 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.

World Wide Fund for Nature - 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 2 years
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.

  • An Autonomous Tool to Produce Prototype Neural Networks for Deep Learning (PhD , Secondary Advisor)
  • Efficient Semantic Segmentation using Deep Learning. (PhD , Secondary Advisor)
  • Development of high-level programming tools to improve the robustness of Internet of Things networks. (PhD , Secondary Advisor)
  • Leveraging E-Learning in educational institutions (PhD , Primary Advisor)
  • Designing physical interface for application of augmented reality in toddler toys (Masters , Secondary Advisor)
  • Investigating the Pedagogical Efficacy of Current Tools used in the Teaching of Coding to different age groups (Masters , Secondary Advisor)

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

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