Marimuthu Palaniswami is a Fellow of the Institute of Electrical and Electronic Engineering (IEEE) and an internationally recognised expert in Internet of Things (IoT), Sensor Networks, Automated Learning, and Computational Intelligence in large-scale complex systems. He is a named Distinguished Lecturer of the IEEE Computational Intelligence Society over the period 2013-2015.
He obtained his Ph.D from the University of Newcastle, Australia and is currently the Professor in the Department of Electrical and Electronic Engineering. He has a demonstrated track record in leading large research initiatives. In particular, he has been the Founder and Director of the ARC Research Network ISSNIP (Information, Signals, Sensor Networks and Information Processing), which has become an internationally recognised constellation of researchers, partner universities and industry organisations in the area of sensor networks.
He has built many large-scale projects by bringing together teams of chief investigators in related areas such as the Distributed Sensor Networks Project funded by former Department of Education, Science and Technology (DEST), the SEMAT project of the Queensland government’s Smart State Program and IMOS-GBROOS for the Great Barrier Reef. He was the co-director of the Centre of Excellence for Networked Decision Systems (CENDS) funded by the Defence Science and Technology Organisation.
He is also a co-founder of the European Centred IoT forum. He served as a general Chair for over 10 IEEE Sponsored International conferences with a focus on Sensor Networks and Internet of Things (IoT). As a Chief Investigator, he was funded by various government agencies for a number of IoT projects covering Infrastructure, Smart City, Healthcare, Transport, BigData Analytics and Smart Governance. His international IoT funding for smart city covers projects such as European Union’s FP7 Smart Santander, SocioTal, and OrganiCity.
His research has also focused on translational aspects of his research and he has a fantastic track record in working with diverse industry sectors – from defence to environment, from telecom to biomedical and from health to local government domains. His extensive publication and citation record is a clear testament to his technical leadership spanning Internet flow control, cloud computing, computational tools for analytics, image processing, sensor network architectures, sensor data fusion, autonomous tracking, sensor network security and control engineering. He has published well over 400 scientific papers including books and edited volumes in related topics in IEEE Transactions on IoT Journal, Cybernetics, Fuzzy Systems, Neural Networks, Power Systems, Communications Magazine, Computational Intelligence Magazine, Information and Forensic Society, Mobile Computing, Automatica Control; ACM Transactions on Sensor Networks; Pattern Recognition, Computer Vision and Image Understanding (CVIU); Automatica; IEEE Journal of Biomedical and Health Informatics (JBHI), PLoS ONE, Frontiers in Physiology, Medical and Biological Engineering and Computing, and others.
He has been recognised and awarded (in 2007, 2008 and 2010) for his substantial knowledge transfer to industry and the community. Many of these knowledge transfers were using deployable technologies for research outcomes, e.g. DIISR-ISL Project on Distributed Sensor Networks. His research continues to deliver in Healthcare (e.g. CSIRO and Microsoft Research Diagnostic tools project) and on the environment (e.g. Great Barrier Reef monitoring) which is testimony to the capacity of his research in providing benefits to society.
He served as a member of the US NSF proposals panel, steering committee member for EU IoT projects and advisory panel member for Centre of Excellence on IoT projects. He has contributed immensely to creating IoT startups, keen to push the impact of IoT further on industry and society.
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A machine learning approach for classification of tremor - A neurological movement disorder
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Projects
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Project Types
36
Research Grant
12
Research Contracts
5
Internal Research Grant
Scholarly Works
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