Marimuthu Palaniswami

Marimuthu Palaniswami (S’84–M’87–SM’94– F’12) received the M.E. degree from the Indian Institute of Science, Bangalore, India in 1977, the M.Eng.Sc. degree from the University of Melbourne, Parkville, Victoria, Australia in 1983, and the Ph.D. degree from the University of Newcastle, Callaghan, Australia in 1987. He is currently a Professor with the Department of Electrical and Electronic Engineering, University of Melbourne. He has published more than 400 refereed research papers and led one of the largest funded Australian Research Council, Research Network on Intelligent Sensors, Sensor Networks, and Information Processing program. He has been a Grants Panel Member for NSF, an Advisory Board Member for the European FP6 Grant Center, a Steering Committee Member for National Collaborative Research Infrastructure Strategy, Great Barrier Reef Ocean Observing System, Smart Environmental Monitoring and Analysis Technologies, and a Board Member for Information Technology and Supervisory Control and Data Acquisition Companies. He has been funded by several ARC and industry grants (over 40 m) to conduct research in vector machines sensors and sensor networks, IoT, machine learning, neural network, pattern recognition, signal processing, and control areas. He is representing Australia as a core partner in European Union FP7 projects, such as SENSEI, Smart Santander, Internet of Things Initiative, and SocIoTal.

Associated articles

JBHI, Featured Articles
Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analysing Ventricular Repolarization Dynamics
Cardiac autonomic neuropathy (CAN), a major complication of diabetes, is characterized by a gradual increase in damage to the autonomic nerve fibers that results in abnormalities in ventricular repolarization (VR) dynamics. CAN needs to be detected at the subclinical stage,... Read more
JTEHM, Articles, Published Articles
Analyzing Systolic–Diastolic Interval Interaction Characteristics in Diabetic Cardiac Autonomic Neuropathy Progression
This paper proposes an ECG based measure for analysing Cardiac autonomic Neuropathy (CAN) related alteration in the temporal synchronization of left ventricle function (i.e. Systolic-diastolic interval interaction (SDI)). The measure was validated in diabetic CAN progression using three subject groups... Read more