Computer and Software Engineering (CSE)

  • Computing and Audio Research
  • Software Engineering
  • LATTE Engineering
  • Image Processing
  • Biomedical

Computer Engineering (CEL)

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The Computer Engineering Lab develops novel hardware and software techniques to solve computationally intensive problems. Research areas include reconfigurable computing, FPGA architectures, parallel processing and financial engineering.

Research Leader: A/Prof Philip Leong

The Computing and Audio Research Laboratory (CARlab)

CARlab specialises in two main areas: "Neuromorphic Engineering" and "Spatial Audio". 

Neuromorphic Engineering is concerned with the study of signal processing in biological (neural) systems and applying principles learned from biology in electronic systems. Typical examples are smart sensory systems where integrated circuits (mostly analogue or mixed-mode VLSI) have been implemented inspired by models of the visual or auditory systems of particular animals. CARlab is one of the top ten research labs in the world in this area and the top neuromorphic engineering group in Australia.

Our Spatial Audio research deals with all aspects of the spatial perception of sound. This includes the study of how humans localise sounds, the effect of room acoustics on sound perception, recording of spatial sound fields, playback using our 64 loudspeaker array (under construction), generation of augmented and virtual reality audio, 3D voice communication systems with location aware computing, and the study of musical aspects of sound fields.

At the University we collaborate intensely with the Auditory Neuroscience Laboratory and the Architectural and Audio Acoustics Laboratory. Taken together, our research group is probably one of the three largest research groups investigating spatial audio world wide. of Sydney

Research Leader: A/Prof C Jin

Software and Web Engineering Laboratory

Software Engineering

Components, architectures and middleware; software architectures; distributed components and middleware; service-oriented computing and loosely coupled distributed systems; real time systems, performance engineering, performance models.

Research Leader: A/Prof R Calvo

Learning & Affect Technologies Engineering (LATTE)

The research group studies systems (mostly web-based) that learn and help people learn. We are developing e-learning and collaborative applications that use machine learning algorithms to improve the user experience or produce innovative functionalities.
Our current work includes:

  • Text mining functionalities to support collaborative learning
  • Social network analysis
  • Computer supported collaborative work and learning
  • Software Frameworks for e-collaboration
  • Topic detection and tracking in textual streams.
  • Service Oriented architectures
  • Brain computer interfaces and EEG signal processing

Research Leader: A/Prof R Calvo

Image Processing

The Laboratory for Imaging Science and Engineering (IS&E) encompasses a variety of basic and applied research projects on advanced image processing and pattern recognition technology.

Our current work includes:

  • Biometric verification based on human face recognition and signature identificationColour image processing

  • Computerised analysis and recognition of document images and printed and handwritten characters
  • Computer graphics and animation
  • DNA sequence and microarray data analysis
  • Image and video compression
  • Medical image reconstruction and analysis
  • Multimedia and mobile computing
  • Neural network models and learning algorithms

Research Leader: Prof H Yan

Biomedical Enginering

Biomedical engineering is a multidisciplinary branch of engineering that combines knowledge of mechanical, mechatronic, electronic, chemical and materials engineering with the life sciences of medicine, biology and molecular biology. It is one of the fastest growing branches of engineering. 

The Institute of Biomedical Engineering and Technology undertakes pioneering and potentially transformational research and will help strengthen and gain international recognition for Australian capability and knowledge in this increasingly important field. Its research covers broad biomedical engineering and technology fields such as image processing and data management, image visualisation and analysis, bioinformatics and data mining, medical devices and networking, biomaterials and regenerative tissue engineering.

Research Leader for Biomedical Devices and Instrumentation research area: Dr Alistair McEwan

CSE Research in pictures