Marimuthu Palaniswami

Marimuthu Palaniswami received his BE(Hons) from the University of Madras, ME from the Indian Institute of science, India, MEngSc from the University of Melbourne and Ph.D from the University of Newcastle, Australia before rejoining the University of Melbourne. He has been serving the University of Melbourne for over 16 years. He has published more than 180 refereed papers. He was given a Foreign Specialist Award by the Ministry of Education, Japan in recognition of his contributions to the field of Machine Learning. He served as associate editor for Journals/transactions including IEEE Transactions on neural Networks and Computational Intelligence for Finance. His research interests include SVMs, Sensors and Sensor Networks, Machine Learning, Neural Network, Pattern Recognition, Signal Processing and Control. He is the convener for Australian Research Network on Sensor Network.

Publications

Sensor Web: Integration of Sensor Networks with Web and Cyber Infrastructure
Sensor Web: Integration of Sensor Networks with Web and Cyber Infrastructure
Tomasz Kobialka, Rajkumar Buyya, Peng Deng, Lars Kulik, Marimuthu Palaniswami. © 2010. 27 pages.
As sensor network deployments grow and mature there emerge a common set of operations and transformations. These can be grouped into a conceptual framework called Sensor Web....
Computational Intelligence and Sensor Networks for Biomedical Systems
Computational Intelligence and Sensor Networks for Biomedical Systems
Daniel T.H. Lai, Jussi Pakkanen, Rezaul Begg, Marimuthu Palaniswami. © 2008. 13 pages.
Sensor networks (SN) is an emergent technology which combines small sensors outfitted with wireless transmitters to form a network with more powerful sensing capabilities...
A Unified Approach to Support Vector Machines
A Unified Approach to Support Vector Machines
Alistair Shilton, Marimuthu Palaniswami. © 2008. 26 pages.
This chapter presents a unified introduction to support vector machine (SVM) methods for binary classification, one-class classification, and regression. The SVM method for...
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Rezaul Begg, Marimuthu Palaniswami. © 2006. 396 pages.
Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of...
Recognition of Gait Patterns Using Support Vector Machines
Recognition of Gait Patterns Using Support Vector Machines
Rezaul Begg, Marimuthu Palaniswami. © 2006. 20 pages.
Automated gait pattern recognition capability has many advantages. For example, it can be used for the detection of at-risk or faulty gait, or for monitoring the progress of...