
Overview
Our discipline makes sense of the world’s data streaming in from cameras, devices, and sensors.
Our expertise in machine learning, computer vision and signal processing allows us to develop systems to automatically interpret the world, its people and their activities from visual and audio sources.
We improve our ability to interact and sense our environment through advanced wireless communications and electromagnetics.
We aim to improve human health through AI, medical imaging and signal processing.
Our experts
Our discipline brings together a diverse team of experts who deliver world-class education and achieve breakthroughs in research.
Explore our staff profiles to discover the amazing work our researchers are contributing to.

Meet our experts

- Position
- Professor
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research field
- Artificial Intelligence and Image Processing
- w.boles@qut.edu.au

- Position
- Professor
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research field
- Artificial Intelligence and Image Processing
- c.fookes@qut.edu.au

- Position
- Professor
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research fields
- Electrical and Electronic Engineering
- Mechanical Engineering
- b.senadji@qut.edu.au

- Position
- Senior Lecturer
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research fields
- Artificial Intelligence and Image Processing
- Computer Hardware
- Electrical and Electronic Engineering
- j.banks@qut.edu.au

- Position
- Snr Lecturer Electrical Engineering
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research field
- Electrical and Electronic Engineering
- jacob.coetzee@qut.edu.au

- Position
- Senior Lecturer
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research fields
- Artificial Intelligence and Image Processing
- Electrical and Electronic Engineering
- s.denman@qut.edu.au

- Position
- Senior Lecturer in Electrical Engineering
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research fields
- Electrical and Electronic Engineering
- Communications Technologies
- Curriculum and Pedagogy
- dhammika.jayalath@qut.edu.au

- Position
- Associate Lecturer
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - s.sabesan@qut.edu.au

- Position
- Research Fellow
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research fields
- Computation Theory and Mathematics
- Electrical and Electronic Engineering
- k.nguyenthanh@qut.edu.au

- Position
- Adjunct Professor
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research fields
- Artificial Intelligence and Image Processing
- Other Engineering
- Other Information and Computing Sciences
- peyman.moghadam@qut.edu.au

- Position
- Adjunct Professor
- Division / Faculty
- Vision and Signal Processing,
School of Electrical Engineering, Computer Science - Research field
- Artificial Intelligence and Image Processing
- s.sridharan@qut.edu.au