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.
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 email@example.com.
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.
Current Projects in:
Translation of research to:
For more information, contact Dr Beena Ahmed or
Dr Vidhyasaharan Sethu or email SIMI Lab.