The Signals, Information and Machine Intelligence (SIMI) Lab brings together a wealth of expertise in speech, image and signal processing, machine learning, system identification and modelling, telecommunications, networking, control theory and high-performance computing.
Our aim is to work collaboratively with researchers to develop methods for predictive data and signal analytics and machine learning systems.
In order to develop and validate these systems, we have access to and experience with several computing platforms ranging from GPU compute capable workstations to UNSW’s Katana computing cluster and the Gadi research supercomputer at NCI Australia.
Our laboratory is equipped with:
- A large team of senior and early-career academic staff, postdocs, PhD and honours students
- Senior academic collaborators from a diverse range of fields such as telecommunications, data security, statistical modelling, IoT, control theory, etc
- High performance computing capabilities and a large library of algorithms/code and scripts
Translation of research to:
- Monitoring mental state via smartphone
- Smart health monitoring and interventions
- Automated speech therapy and second language learning
- Live analysis of web-based remote video consultation
Current projects in:
- Speech processing and modelling
- Behavioural signal modelling and prediction
- Disordered speech monitoring
- Biomedical signal analysis and classification
- Affective computing
- Network Data Analysis
- Smart building monitoring
- AusKidTalk: An Australian Children's Speech Corpus
- Anomaly detection in Satellite Communications
- AI-assisted Photocatalyst discovery
- SATCOM: Defence Science and Technology Research Group
- Particles and Catalysis Research Laboratory, UNSW Sydney
- Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney
Partnering with Us
If you need assistance transforming your data from signal streams to discrete data points, then we would love to work with you.
By combining your domain expertise with our expertise in signal processing, machine learning, modelling, mathematics and computing, we can develop the next generation of inference methods.