Trina Myers' research interests focus predominately on semantic technologies, sensor technologies, knowledge management, collective intelligence and the Internet of Things (IoT). Semantic technologies (linked data) are a subset of Artificial Intelligence (AI) that enables the integration of knowledge, information and disparate data.  Her dissertation articulated an eco-informatics use-case that applied semantic technologies in the marine biology domain to enable observational hypothesis-driven research through semantic inference over disparate marine and ecological datasets.

Trina's current research projects include combining text mining with semantic context for intelligence data extraction from the information found on the Web (current applications are in the mining and tourism sectors) and semantic enablement of IoT and collective Intelligence for more efficient disaster and conservation resource management.  

  • CP2402: Hardware and Software Fundamentals (Level 2; CNS & TSV)
  • CP2405: Collective Intelligence and Social Networks (Level 2; CNS & TSV)
  • CP3000: Topics in Computer Science (Level 3; TSV)
  • CP5635: Collective Intelligence and Social Networks (Level 5; TSV)
  • Semantic technologies
  • Ontology engineering
  • Sensor networks
  • Knowledge management
  • Active learning methodologies
  • Internet of Things
  • Collective Intelligence
  • Blockchain
  • Active learning
  • Blended learning
  • Collective Intelligence
Socio-Economic Objectives
  • 2016 - Advance Queensland Community Digital Champion
  • 2014 - Australian ICT Educator of the Year (AIIA iAwards)
  • 2014 - iAward - ICT Educator of the Year (QLD)
  • 2013 - JCU Early Career Researcher Adviser of the year 2013
  • 2013 - OLT Australian Award for University Teaching – Citations for Outstanding Contributions to Student Learning. Office for Learning and Teaching 2013
  • 2012 - Faculty of Law Business and Creative Arts Citation for Outstanding Contributions to Student Learning 2012
  • 2016 - iNQ mentor
  • 2014 - Australian Council of Deans ICT
  • 2012 - Senior Member Australian Computer Society - Certified Professional
  • 2012 - Member of the Townsville ICT Business Network (TICTBN)

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.

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ResearchOnline@JCU stores 45+ research outputs authored by A/Prof Trina Myers from 2007 onwards.


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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.

  • Utaut: Exploring Small Business Adoption of Facebook Technology for Consumer Engagement in Townsville, North Queensland. (PhD , Secondary Advisor)
  • The Engagement of Women and Technology in Agriculture (PhD , Secondary Advisor)
  • Inheritance Infrastructure in Vehicular Communications Systems (VANETs) (PhD , Secondary Advisor)
  • Mining Human Mobilty Relationship through Spatio- temporal Trajectories (PhD , Secondary Advisor)
  • Investigation of Disabled Australian's Interaction with Online Security: A Human-Computer Interaction (HCI) Step Towards First Class Digital Citizen (PhD , Secondary Advisor)
  • An Interactive Decision Support Tool for Participatory Pest Management Planning (PhD , Secondary Advisor)
  • Smart Streetlights: An Economic Perspective. (PhD , Primary Advisor)
  • Leveraging IoT technology to Increase Clinical Space Utilisation in the Healthcare Sector (Masters , Secondary Advisor)
  • Data driven decision making in City Planning - Multi method simulation modeling for sustainable cities (Masters , Primary Advisor)
  • Crowd mining real-time public attitudes of the Great Barrier Reef in correlation with media announcements (Masters , Primary Advisor)
  • Harnessing Innovation and Digital Disruption for Better Healthcare Outcomes (PhD , Primary 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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