Adelaide Campus Faculty - Assistant Teaching Professor of Information Technology
Teaching Track - Adelaide
Murli Viswanathan received his BS degree in Computer Science & Information Systems from Deakin University, Australia, in 1996 followed by a First Class honours degree in 1997. In 2002 he completed his PhD in Computer Science specializing in Machine Learning from Monash University, Australia. From 2001 to the middle of 2004, he was a full-time tenure-track faculty member with the Department of Computer Science, University of Melbourne, Australia. From 2004 to early 2007, he was employed as IITA Distinguished IT Professor with the College of Software at Kyungwon University in Korea.
Murli was awarded a Monash University Graduate Scholarship and a departmental scholarship by the Faculty of Information Technology.
Murli's current research interests are in knowledge-based systems, data mining for ubiquitous information systems, Bayesian Model Selection, distributed data mining and adaptive systems. He has offered several invited lectures and published papers in well-known conferences and journals. In 2006 he was responsible for initiating joint collaborative research between the Ubiquitous Healthcare Centre, Kyungwon University and the E-health Research Centre (Australian Government). He is looking forward to establishing similar research networks. Teaching
Murli has taught a variety of courses at all levels in information systems and computer science. In 2004 he was responsible for enabling a teaching MOU between Monash University, Australia and Kyungwon University, South Korea. At Kyungwon University he planned and developed curriculum for several IT subjects, which were approved by South Korean Government Ministry of Information & Communication.
Provided English technical writing and communication skills to small student groups and faculty members at Kyungwon University in Korea. He was awarded a grant by Department of Education, Science and Training (DEST) of the Australian Government to initiate International collaboration between International Technological Institutions and University of Melbourne.
M. Viswanathan. Distributed Data Mining in a Ubiquitous Healthcare Framework. To appear at the 20th Canadian Conference on Artificial Intelligence (Canadian A.I. 2007), May 28-30, 2007, Montréal, Québec, Canada.
M. Viswanathan, Y. K. Yang, T. K. Whangbo. Distributed Data Mining on Clusters with Bayesian Mixture Modeling, Lecture Notes in Computer Science, Volume 3613, Jul 2005, Pages 1207 - 1216.
Murlikrishna Viswanathan, Young-Kyu Yang, and Taeg Keun Whangbo, Minimum Message Length and Classical Methods for Model Selection in Univariate Polynomial Regression. ETRI Journal, vol.27, no.6, Dec. 2005, pp.747-758.J.
S. H. Lee, M Viswanathan, Young-Kyu Yang: Link Speed Estimation and Incident detection Using Clustering and Neuro-fuzzy Methods, Lecture Notes in Computer Science, Volume 3993, Apr 2006, Pages 200 - 207.
M. Viswanathan, S. H. Lee, Y. K. Yang, Neuro-fuzzy Learning for Automated Incident Detection, Lecture Notes in Computer Science, Volume 4031, Jun 2006, Pages 889 - 897.
International Journals J. Y. Choi, S. H. Hwang, T. K. Whangbo, Y. K. Yang, M. Viswanathan, "A Study on Face Component Extraction for Automatic Generation of Personal Avatar," Journal of Korean Society for Internet Information, Vol. 6, No. 4, pp.93-102, 2005.
Y. U. So, K. J. Lee, M. Viswanathan, T. G. Whangbo, Y. K. Yang. Efficient Sketch Map Representation in Mobile Environment. Korean Journal of Remote Sensing, Vol. 21, No. 4, 2005, pp. 329-339.
PhD, Computer Science, Monash University