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,泭instead of discrete data points that fit in a spreadsheet, then we are interested in working with you.泭By combining your domain expertise with our expertise in泭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, youll 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 youre interested, please email simi@unsw.edu.au.
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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,泭image and signal processing, machine learning, system identification and modelling, telecommunications, networking, control theory and high-performance computing.泭
It aims to work collaboratively with researchers and research teams to collaboratively develop methods for predictive data and signal analytics and machine learning systems.泭
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泭UNSWs Katana computing cluster泭and the Gadi research supercomputer at泭.
What we do
Current Projects in:
- Speech processing and modelling
- Behavioural signal modelling and prediction泭
- 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
泭
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泭Dr泭Beena泭Ahmed泭or泭
Dr泭Vidhyasaharan泭Sethu泭or email泭SIMI Lab.
