JCU > Research Portfolio > Dr Neil Fraser

About

Teaching

MA5821: Visual Analytics for Data Scientists using SAS (Level 5; ONL)
MA5831: Advanced Data Management and Analysis using SAS (Level 5; ONL)
MA5840: Data Science and Strategic Decision Making for Business (Level 5; ONL)
MA5853: Data Science Project 1 (Level 5; 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.

Book Chapters

fraser n (2017) Strategy development and big data analytics. In: Internet of Things and Data Analytics Handbook. John Wiley & Sons, New York, NY, USA, pp. 347-364

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: $45,000 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