Data Science Research Unit

Activities

Activities per year 2000 2019 2020 2021 2022 2023

• 81 Peer review responsibility, including review panel or committee
• 78 Conference/Symposium
• 48 Public lecture/debate/seminar/presentation
• 43 Editorial responsibility
• 189 More
  • 34 Workshop/course/forum
  • 28 Visiting an external organisation
  • 23 Thesis Examination
  • 20 Content creation/delivery
  • 12 Internal HDR Supervision
  • 11 Public event
  • 8 Hosting a visitor
  • 8 Undertaking advanced specialised practice or scholarly secondments
  • 6 Professional and scholarly communities reflection
  • 6 Self/institutional leadership reflection
  • 5 Grant review responsibilities
  • 4 Professional association or peak discipline body
  • 4 Public outreach
  • 4 Peer reviewed publication reflection
  • 3 External HDR Supervision
  • 3 External research organisation, centre or institute
  • 2 External research and teaching
  • 1 Honours Supervision
  • 1 Mentor or Internship Supervision
  • 1 Committees and working groups
  • 1 Membership of networks of excellence
  • 1 Appointments or secondments
  • 1 Delivery of advanced professional development
  • 1 Expert/advisor
  • 1 Non-peer reviewed publication reflection

Activities per year

Search results

• Developing a Monitoring System to Determine Migration Ecology of Select Mekong Fish Species in the Fishway of Xayaburi Hydroelectric Power Plant, Northern Laos

  Nathan Ning (Co-supervisor), Lee Baumgartner (Principal Supervisor), Xiaodi Huang (Co-supervisor) & Wayne Robinson (Co-supervisor)

  2022

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Honours dissertation: COVIDFakeExplainer: An Explainable Machine Learning based Web Application for Detecting COVID-19 Fake News

  Ashad Kabir (Principal Supervisor)

  2021 → …

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Honours dissertation "Estimating Munsell Soil Colour using Smartphones"

  Ashad Kabir (Principal Supervisor)

  2021 → 2022

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Honours dissertation "Leveraging Continual Learning in X-ray Classification for COVID-19 Screening Mobile App"

  Ashad Kabir (Principal Supervisor)

  2020 → 2021

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images

  Ashad Kabir (Principal Supervisor)

  2020 → 2021

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Honours Dissertation: DETECTION OF RICE LEAF DISEASE USING CONVOLUTIONAL NEURAL NETWORKS

  Ashad Kabir (Principal Supervisor)

  2020 → 2021

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Honours Dissertation on Investigating Smart Home Security: Is Blockchain the Answer?

  Ashad Kabir (Co-supervisor)

  2019

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Honours Dissertation on "Detecting Autism Spectrum Disorder using Machine Learning"

  Ashad Kabir (Principal Supervisor)

  2019 → 2020

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• An exploration of Greek Migrant experiences and later life emotional well-being. A qualitative study

  Maree Bernoth (Examiner) & Oliver Burmeister (Examiner)

  2017 → 2020

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Supervision of Doctor of Health Science student Georgia Tziros: Experience of migration on ageing for Greek older people

  Maree Bernoth (Principal Supervisor) & Oliver Burmeister (Principal Supervisor)

  2015 → …

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• The Digital Divide in Iran

  Yeslam Al-Saggaf (Principal Supervisor)

  2013

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision

• Scenario based Software Testing / Requirements verification management

  Yeslam Al-Saggaf (Principal Supervisor)

  2007

  Activity: Supervision/Examination/Mentoring › Internal HDR Supervision