The research and development undertaken at the Centre for Technology Infusion contributes to La Trobe University's reputation as one of Australia's leading research universities. Our work is recognised in Australia and around the world.
The core research areas the Centre are in micro-nano electronics and system-on-chip (SOC) design, modelling and simulation, wireless sensor networks, low power embedded systems, web/enterprise software, and data analytics.
If you are interested in undertaking a Masters or PhD research project in these areas with us please contact Dr Aniruddha Desai, Director, Centre for Technology Infusion.
Very high quality factor (Q) passive components for a radio frequency receiver
In this research, very high Q passive components will be designed and implemented using micro-electro-mechanical (MEMS) systems technology to replace off-chip and low Q on-chip components to reduce the power consumption and increase the performance of RF receivers. Such research and implementation of high Q MEMS components is a vital step for the development of RF receivers for current and future applications.
Nano-electro-mechanical (NEM) based resonator for a radio frequency receiver
This project involves the design and implementation of a resonator for a radio frequency receiver based on Nano-electro-mechanical (NEM) technology. NEM components are the systems built at micro level and involve devices with properties into electrical, mechanical and other domains. NEM systems are low cost, have low power consumption, higher performance, reduced size and weight. Thus, using NEM devices will enable a single chip solution for wireless receivers with better performance and low costs.
Power management system for low power nano-scale digital circuits
This project involves the design and implementation of a power management methodology which will control power consumption of a micro-processor. The sub-system will be designed using low-power design time techniques including the near-threshold design technique. A smart power management algorithm will be developed which will monitor the performance of the sub-system in real-time and provide optimum power consumption using real-time power management techniques. The algorithm will be smart enough to choose appropriate low power techniques for standby time.
Reconfigurable voltage-controlled oscillator
This research involved the design and implementation of a reconfigurable voltage-controlled oscillator for a multi-standard receiver that satisfies the low power and low phase noise requirements. This was achieved by replacing the off-chip components with the micro-electro-mechanical components.
Ultra low power ADC
In this project, a novel binary search algorithm was proposed to replace the conventional DAC in a traditional SA ADC architecture to significantly reduce the system area and power consumption.
Wireless systems and sensors
Ad-hoc network for vehicle-to-vehicle communication
This project aims to provide greater security and reliability of information and data exchanges among vehicles via vehicle-to-vehicle (V2V) network. To increase connection reliability, this research focuses on an adaptive routing protocol that would support seamless communication between moving vehicles.
Technology for reliable in-vehicle communication
This research includes modelling of the in-car wireless network, investigation of the suitability of wireless technologies and adapting wireless technology for the in-car environment. This research addresses issues related to reliability, security and low error rate requirements within the limits of the in vehicle power supply.
Smart Sensor Network
The aim of this research project was to develop a wireless smart sensor node for ultra low-power applications. A wireless sensor node typically consists of a front-end sensor, data acquisition (DAQ) system, possibly an actuator and a Digital-to-Analog Converter (DAC) for control process, a data processor with some memory and transceiver architecture.
Embedded systems and system-on-a-chip
Intelligent vehicle system for traffic management
This research focuses on the effective application of the Intelligent Agent Model in an Intelligent Transportation System (ITS) to aid traffic management specifically focusing on congestion issues.
The Intelligent Agent Model being developed is composed of multiple coordinating Intelligent Agents that will exchange relevant information via dynamic V2V and V2I communication using Dedicated Short Range Communication (DSRC). The agents installed in the form of on-board vehicle units and roadside infrastructure units will analyse the surrounding situation on the road, get information from the other vehicles, infrastructure units and traffic control systems and use this information to make dynamic decisions to assist the driver. The dynamic decisions will be in the form of travel advisories and/or warnings contributing towards efficient road network management and congestion prevention.
Low cost digital filter bank for ultra wideband radio
This research proposed an algorithm to achieve the real time reconfigurability in order to reduce power consumption. of the digital backend of a UWB receiver.