20 MIN 25 SEC , MP3 FORMAT
Download: http://media-download.unimelb.edu.au/media/mp3/upclose/128kbps/upclose_ep039_20080509_128kbps.mp3
Listen: http://upclose.unimelb.edu.au/episode/134?start=1
Transcript: http://upclose.unimelb.edu.au/transcript/133
 Chris Leckie Assoc Prof Chris Leckie's research interests are in the field of Artificial Intelligence (AI) and telecommunications. He has made theoretical and practical contributions in areas such as machine learning, fault diagnosis, visualisation, multi-agent systems and design automation. Chris has strong a interest in developing AI techniques for a variety of applications in telecommunications, such as network intrusion detection, network management, optical networks, information retrieval and market analysis. |
USEFUL LINKS
Publications
- A. Mahmood, C. Leckie and U. Parampalli. Echidna: Efficient Clustering of Hierarchical Data for Network Traffic Analysis. Accepted to appear in IEEE Transactions on Knowledge and Data Engineering, (29 pages, accepted 19 October 2007)
- L. Wang, J. Bezdek, C. Leckie and R. Kotagiri. Selective Sampling for Approximate Clustering of Very Large Data Sets. Accepted to appear in International Journal of Intelligent Systems, (21 pages, accepted 14 September 2007).
- S. Rajasegarar, C. Leckie and M. Palaniswami. Anomaly Detection in Wireless Sensor Networks. To appear in IEEE Wireless Communication Magazine, (accepted 16 April 2007) 14 pages, ISSN 1536-1284.
Assoc Chris Leckie's web page
CREDITS
Producers: Kelvin Param, Eric Van Bemmel and Dr Shane Huntington
Audio Engineer: Craig McArthur
Theme Music performed by Sergio Ercole. Mr Ercole is represented by the Musicians' Agency, Faculty of Music
Voiceover: Paul Richiardi
Series Creators: Eric van Bemmel and Kelvin Param
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