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Supervisors: Prof Nanda Nandagopal, Prof Andrew Nafalski, Dr Mark McDonnell and Dr Zorica Nedic.
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Naga Dasari - Identification of cognitive activity by Computer Visualisation and mapping of EEG data
| Supervisors: Prof Nanda Nandagopal, Prof. Bruce Thomas Electroencephalography (EEG) is the recording of the electrical activity of the brain from the scalp. EEG in general reflects brain functioning and is used generally to diagnose any neurological disorders. Extensive EEG studies have been conducted to characterize various neuro-physiological and mental states. The proposed PhD study aims to identify cognitive activity from EEG and hence characterize cognitive functions. Research study will investigate advanced computer visualisation techniques to map the neural activity relating to cognitive states and hence assist the development of cognition enhancing methodologies. The outcomes of this study will enable better understanding of cognitive functions and may contribute towards addressing mental health issues. |
Md. Hedayetul Islam Shovon - Identification of cognitive activity in brain waves using EEG databases during Cognitive Load Experiments including interaction with the Web through the application of Interactive Information Retrieval Techniques
Supervisors: Prof Nanda Nandagopal, Dr Tina Du and Ramasamy Vijayalakshmi
Electroencephalography (EEG) is a powerful non-invasive tool to record the electrical activity of the brain functioning by placing multichannel electrodes on the scalp. In order to retrieve useful information from the brain EEG data, we need advanced computational and information management techniques. The proposed PhD study aims to create an EEG database consisting of sophisticated EEG features and to develop an efficient information retrieval technique such that one can easily find the useful information about the human cognition. The proposed information retrieval algorithm will also be able to support multitasking search which will provide additional dimension to the understanding of the cognitive function of the brain. Then we will validate our system performance by comparing cognitive load both in intrusive assessment (think aloud method) and non-intrusive assessment (EEG data) in user-web interaction processes and sequences when user involve in multitasking web search. So, this research work will also contribute to the better understanding of human-information interaction processes in multitasking searching context.
Supervisors: Prof Markus Stumptner, Prof Nanda Nandagopal and Dr Todd Mansell (DSTO)
Service-oriented architectures (SOA) are finding more and more widespread uses in the civilian sector, promising new solutions from a new architecture for middleware functionality, to providing interoperability, automated establishment of service connections, monitoring and (if necessary) autonomic repair of service functionality. A key concern in the deployment of SOA’s to determine the expected benefits in large scale complex systems integration and interoperability driven environments that are typical of the modern Defence sector. This encompasses two different levels: technological and organisational. While many SOA concepts are derived from classical business process management/workflow technology, the technical advances lead to many lessons being forgotten or wheels reinvented. The core aspects of this thesis will examine the methods existing for defining SOA and their applications to real time and safety critical environments. The thesis will also examine applicability of SOA for naval combat system and its impact in reducing the complexity in systems integration.
Arvind Rajagopalan - Intelligent, Integrated Guidance, Navigation and Control (I2GNC) of Airborne Platforms
Supervisors: Prof Nanda Nandagopal, Prof Lakhmi Jain and Dr Farhan Faruqi (DSTO)
The PhD study will undertake investigation into intelligent systems approach to developing integrated guidance, navigation and control of Airborne Autonomous (AAP) platforms. The research will study the application of intelligent systems approach such as: Artificial Neural Networks (ANN) or a combination of ANN with Rule Based Expert Systems (RBES) and or Fuzzy Expert Systems (FES) and study their efficacy in improving the stability, robustness and operational envelop of AAPs. The performance of above systems will be compared with the conventional techniques for Guidance, navigation and control using laboratory test bench that will be established as part of the research program.
Supervisors: Prof Nanda Nandagopal, Prof Javaan Chahl, Prof Lakhmi Jain, Dr Zorica Nedic
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The thesis will analyse the existing body of literature on passive imaging techniques for navigation over terrain. This specifically excludes active approaches using imaging radar/lidar/sonar. It does not exclude the use of Thermal and other means of producing an image. The emphasis will be on techniques that could be used by a UAV to navigate from waypoint to waypoint, without the need to map the whole environment and work in collaboration with other systems or use supporting external electronic signals. The waypoints could be visually defined landmarks or points identified relative to visually defined landmarks. The use of cognitive maps and landmark navigation logic will be explored. Biological vision based techniques will also be explored for autonomous navigation of UAVs over terrain. |