Marimuthu Palaniswami is a Fellow of IEEE and a Distinguished Lecturer of the IEEE Computational Intelligence Society. He serves as the Professor of Electrical Engineering and Director/Convener of a large ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) at the University of Melbourne with about 100 researchers on various interdisciplinary projects. He received his PhD from the University of Newcastle, Australia, before joining the University of Melbourne. Previously, he was a Co-Director of the Centre of Expertise on Networked Decision & Sensor Systems. He served on various international boards and advisory committees, including a panel member for National Science Foundation (NSF). He has published more than 550 refereed journal and conference papers, including three books and ten edited volumes.

The Ministry of Education, Japan, awarded him a Foreign Specialist Award in recognition of his contributions to Machine Learning and communications. He received the University of Melbourne Knowledge Transfer Excellence Award and Commendation Awards. He served as an associate editor for Journals/transactions, including IEEE Transactions on Neural Networks, Computational Intelligence for Finance. He is editor of the Journal of Medical, Biological Engineering and Computing and the Subject Editor for the International Journal on Distributed Sensor Networks. Through his research, he supported various start-ups, local and international companies.

As an international investigator, he actively participated in FP6, FP7 and H2020 initiatives in smart cities and the Internet of Things (IoT). He founded the IEEE international conference series on Intelligent Sensors, Sensor Networks, and Information Processing (ISSNIP) to enhance outreach and research capacity. He served as General Chair for over 15 IEEE and IEEE sponsored Conferences. He has given several keynotes/plenary talks in sensor networks, IoT and machine learning. His research interests include Smart Sensors and Sensor Networks, Machine Learning, IoT and Biomedical Engineering and Control.

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