Big data has become mainstream; however, the nature of the signals being collected is evolving.
If your data comprises of signal streams such as such as video, audio, accelerometric data, positioning data, real-time WiFi access information, instead of discrete data points that fit in a spreadsheet, then we are interested in working with you. By combining your domain expertise with our expertise in signal processing, machine learning, modelling, mathematics and computing, we can work together to develop the next generation of inference methods.
We are looking for undergraduate student researchers who are interested in getting hands-on experience in Signal Processing and Machine learning.
Requirements:
- Strong programming skills
- 2nd year Mathematics and Statistics for Engineering
If selected, you’ll get an opportunity to work on active research projects undertaken by SIMI Lab. This could lead to future “Taste of Research” or “Honours Thesis” Projects. If you’re interested, please email simi@unsw.edu.au.
About us
SIMI lab brings together the expertise of a number of academics from the School of Electrical Engineering and Telecommunications at UNSW who specialise in speech, image and signal processing, machine learning, system identification and modelling, telecommunications, networking, control theory and high-performance computing.
It aims to work collaboratively with researchers and research teams to collaboratively 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 a number of computing platforms ranging from GPU compute capable workstations to UNSW’s Katana computing cluster and the Gadi research supercomputer at NCI Australia.
What we do
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
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
Our partners
- SATCOM : Defence Science and Technology Research Group
- Particles and Catalysis Research Laboratory, UNSW Sydney
- Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney
Contact us
For more information, contact Dr Beena Ahmed or
Dr Vidhyasaharan Sethu or email SIMI Lab.
