About
Teaching
  • MA5821: Visual Analytics for Data Scientists using SAS (Level 5; CNS & ONL)
  • MA5854: Data Science Project 2 (Level 5; ONL)
Publications

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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Current Funding

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

Bingo Industries Limited - Contract Research

Deep Learning for Waste Management

Indicative Funding
$49,000 over 3 years
Summary
To keep our planet safe and healthy, new techniques for managing and recycling waste should be devised. This project aims to use the latest advances in deep learning and computer vision technologies to better manage waste by developing a fast and accurate waste analysis system.
Investigators
Mostafa Rahimi Azghadi and Neil Fraser (College of Science & Engineering)
Keywords
Computer Vision; Deep Learning; Waste Management
Supervision

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.

Current
  • Evolution and challenges of computer vision and deep learning technologies for recycling mixed construction and demolition waste (PhD , Secondary Advisor)

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