Faculty/School

Faculty of Engineering

School of Electrical Engineering and Robotics

Topic status

We're looking for students to study this topic.

Research centre

Supervisors

Professor Clinton Fookes
Position
Professor
Division / Faculty
Faculty of Engineering
Dr Kien Nguyen Thanh
Position
Senior Research Fellow
Division / Faculty
Faculty of Engineering
Professor Sridha Sridharan
Position
Principal Research Fellow
Division / Faculty
Faculty of Engineering

Overview

Satellite and drone/UAV data has a great potential to provide large-scale analytics for many domain applications. However, the wide range of data of diverse nature (e.g., optical vs. SAR, high-resolution vs. wide-coverage, mono- vs. hyper-spectral, 2-D vs. 3-D) also poses significant challenges for analytics.

Deep learning holds great promise to deal with these tasks. While the number of research in this area is increasing, there still exists challenges such as co-learning of multimodal data, limited data annotation, and uncertainty in the analytic outputs.

This project will develop new methods to advance deep learning based analytics for satellite and drone/UAV data.

Research engagement

This project will develop new methods to analyse satellite and drone/UAV data. This will involve the development of new machine learning methods, and evaluating these on public datasets.

Research activities

Research activities include:

  • research and development of novel machine learning methods
  • experimental design
  • writing up, publishing and presenting research outcomes.

This project will build on an existing body of research conducted by the supervisory team.

Outcomes

The aim of the project is to develop new machine learning, computer vision and AI models to solve the research gaps in the related fields.

Skills and experience

You must have:

  • strong math background
  • programming experience (preferably Python) are required.

Some machine learning and/or computer vision experience is desired.

Start date

1 November, 2024

End date

28 February, 2025

Location

GP Campus

Keywords

Contact

Contact the supervisor for more information.