RESEARCH TOPICS 2
ZIKPHYSICS
• very-high throughput wireless communications
• electromagnetic energy scavenging
•
Medical Radiation Physics
• Software Radio System Development
• Terabit per-second optical transmission based on novel modulation
formats,
• All-optical processing at terabit per-second capacities,
• Optical performance monitoring in next generation dynamic optical
communication networks,
• Microfluidics for laboratory on a chip applications,
• Midinfrared optical technologies for defence and medical
applications.
• elearning tools and application,
• collaborative environments.
• Molecular Dynamics Calculations to Determine Thermal Conductivity:
the Green-Kubo Method
• Brain Dynamics and Computational Neuroscience Research Group,
• Improvements to radio tracking localisation algorithms;
• Localisation in sensor networks;
• Extensions to the communication stack (current low levels
implemented in FPGA and high levels in DSP);
• Fusion of radio location with inertial sensors or GPS.
•
Mimix Broadband GaAs MMIC design
• Alternative ways to implement network protocols,
• How to experiment with mobility?,
• Is there an alternative to email as we know it?
• Clinical Information Systems. The development of information for
use in clinical wards in hospitals is difficult because of the variety
of data that has to be collected and the use of medical terminology.
We are researching solutions to the software engineering problems this
complex environments creates.
• Natural Language Processing in clinical settings. Accurate and
efficient analysis of language to recognise its semantic components is
essential to developing the next generation of search engines. We are
applying software engineering strategies to doing retrieval of
semantic information from patient records in a hospital setting.
• Machine learning is a powerful tool for analysing data when little
is known about its structure in the fields of Text Mining and Data
Mining. However the process of investigating the best models for a
data set are poorly developed. We are doing software engineering
research into the optimal development of workbenches to support large
experiment programs text and data mining.
• Studying information technology business value impacts thru
modelling complex organisational mechanisms (research area:
information systems)
• Data modelling and analysis of complex interactions (research area:
computer science and data mining)
• Data analysis of Australia's national health (research area: health
informatics)
• ecommerce
• machine learning)
• Model Driven Development and Domain Specific Language Design
• Processes for Ultra-Large Scale System Engineering (PULSSE)
http://www.sei.cmu.edu/uls/
• Adaptive Software Development Processes
• RESTful Business Processes