CV

Contact Information

Name Dr Scarlett Raine
Professional Title Lecturer and Chief Investigator, QUT
Email sg.raine@qut.edu.au
Location Brisbane, Queensland

Professional Summary

Dr Scarlett Raine is a Lecturer at the Queensland University of Technology’s School of Electrical Engineering and Robotics, and a Chief Investigator in the QUT Centre for Robotics. She pioneers the use of computer vision, AI and robotics to automatically analyse underwater imagery and monitor marine ecosystems more efficiently.

Experience

  • 2025 - present

    Brisbane, Australia

    Chief Investigator and Lecturer (Assistant Professor)
    QUT Centre for Robotics
    Chief Investigator and Lecturer in robotics and AI, leading research in underwater perception and environmental monitoring.
    • Teaching undergraduate engineering units including Introduction to Robotics and Foundations of Electrical Engineering
    • Leading research in AI-driven marine robotics and environmental monitoring
  • 2025 - present

    Brisbane, Australia

    Associate Investigator
    QUT Centre for Environment and Society; QUT Centre for Data Science
  • 2025 - present

    Australia

    Chief Investigator (Translation to Deployment)
    Reef Restoration and Adaptation Program (RRAP)
    Leading technology development for coral restoration, focusing on deployment readiness and automation for reef interventions.
  • 2024 - 2025

    Brisbane, Australia

    Research Fellow
    QUT Centre for Robotics
    Lead research fellow on the Reef Deployment Guidance System in collaboration with AIMS.
    • Developed AI systems for autonomous, targeted deployment of coral reseeding devices
  • 2019 - 2023

    Brisbane, Australia

    Sessional Academic
    Queensland University of Technology (QUT)
    • Teaching across electrical engineering, AI, control systems, and computer science
  • 2023 - 2023

    Australia

    Policy Officer
    Australian Government – Department of Climate Change, Energy, the Environment and Water
    Worked in the Biodiversity Markets Branch on the Nature Repair Market.
    • Planning and execution of an $8M biodiversity monitoring grants program
    • Developed policy documents, grant guidelines, and stakeholder engagement processes
  • 2019 - 2020

    Australia

    Research Intern
    CSIRO Data61
    Developed deep learning methods for marine species detection.
    • Designed starfish detection system for Great Barrier Reef monitoring

Education

  • 2020 - 2024

    Brisbane, Australia

    PhD
    Queensland University of Technology
    Weakly Supervised Segmentation of Underwater Imagery
    • Executive Dean of Engineering’s Commendation for Outstanding Doctoral Thesis
  • 2016 - 2020

    Brisbane, Australia

    Bachelor of Engineering (First Class Honours)
    Queensland University of Technology
    Engineering (Mechatronics)
    • Class Valedictorian

Awards

  • 2026
    ATSE Technology Scholarship for Science Meets Parliament
    Australian Academy of Technological Sciences and Engineering

    Awarded a scholarship to attend Australia’s premier initiative for connecting research with policy

  • 2025
    Vice-Chancellor’s Award for Excellence
    Queensland University of Technology

    Recognises excellence in partnerships, engagement, and impact

  • 2025
    CICTA Pearcey Rising Star Award
    CICTA

    Recognition of early-career leadership in Queensland’s tech sector

  • 2025
    Women in Technology Awards – Highly Commended (Emerging Tech Star)
    Women in Technology

    Recognition for contributions to emerging technology and innovation

  • 2024
    Executive Dean’s Commendation for Outstanding Doctoral Thesis
    QUT Faculty of Engineering

    Awarded for outstanding PhD thesis

  • 2022
    Outstanding Learning and Teaching Award
    QUT School of Electrical Engineering and Robotics

Publications

  • 2025
    Human-in-the-Loop Segmentation of Multi-species Coral Imagery
    IEEE Journal of Oceanic Engineering
  • 2022
    Point Label Aware Superpixels for Multi-Species Segmentation of Underwater Imagery
    IEEE Robotics and Automation Letters
  • 2026
    AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring
    AAAI Conference on Artificial Intelligence
  • 2024
    Image Labels Are All You Need for Coarse Seagrass Segmentation
    IEEE/CVF Winter Conference on Applications of Computer Vision

Skills

Artificial Intelligence and Computer Vision (Expert): Deep Learning, Computer Vision, Weakly Supervised Learning, Underwater Perception
Marine Ecosystem Monitoring and Conservation (Expert): Marine Robotics, Coral Reef Monitoring, Reef Restoration, Seagrass Mapping

Interests

Marine Conservation: Coral Reefs, Seagrass Ecosystems, Biodiversity Monitoring, AI for Science
Robotics and AI: Coral Reefs, Seagrass Ecosystems, Biodiversity Monitoring, AI for Science

Certificates

  • PhD in Artificial Intelligence and Computer Vision - Queensland University of Technology (2024)
  • Bachelor of Engineering (First Class Honours) - Queensland University of Technology (2020)

Projects

  • Reef Guidance System

    AI system for autonomous deployment of coral reseeding devices to support reef restoration.

    • Autonomous decision-making for reef intervention
    • Collaboration with AIMS under RRAP
  • Weakly Supervised Underwater Segmentation

    Development of annotation-efficient deep learning methods for underwater imagery.

References

  • Available upon request

    Professional references available upon request