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Marimuthu Palaniswami

Marimuthu Palaniswami

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
36521
World Ranking
1543
National Ranking
43

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2012 - IEEE Fellow For contributions to computational intelligence, learning systems, and nonlinear modelling

Overview

Marimuthu Palaniswami is affiliated with the University of Melbourne in Australia and conducts research primarily in the fields of Computer Science, Medicine, and Engineering. Their work spans multiple subfields including Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, and Cardiology and Cardiovascular Medicine.

The research topics covered by Palaniswami include:

  • IoT and Edge/Fog Computing
  • Age of Information Optimization
  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Non-Invasive Vital Sign Monitoring
  • Neonatal and fetal brain pathology
  • Gas Sensing Nanomaterials and Sensors

Several recent papers authored or coauthored by Palaniswami include:

  • "An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments," 2020, IEEE Transactions on Mobile Computing
  • "Real-time monitoring of construction sites: Sensors, methods, and applications," 2022, Automation in Construction
  • "A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments," 2021, IEEE Transactions on Mobile Computing
  • "Vision-based automated crack detection using convolutional neural networks for condition assessment of infrastructure," 2020, Structural Health Monitoring
  • "Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions," 2022, ACM Computing Surveys

Frequent coauthors include:

  • Aravinda S. Rao
  • Chandan Karmakar
  • Emerson Keenan
  • Nandakishor Desai
  • Rajkumar Buyya

Palaniswami's publications have appeared often in venues such as arXiv (Cornell University), IEEE Transactions on Cognitive Communications and Networking, SSRN Electronic Journal, IEEE Transactions on Mobile Computing, and Structural Health Monitoring.

In 2012, Palaniswami was awarded the IEEE Fellow recognition for contributions to computational intelligence, learning systems, and nonlinear modelling.

Best Publications

  • Internet of Things (IoT): A vision, architectural elements, and future directions

    Jayavardhana Gubbi;Rajkumar Buyya;Slaven Marusic;Marimuthu Palaniswami

  • An Information Framework for Creating a Smart City Through Internet of Things

    Jiong Jin;Jayavardhana Gubbi;Slaven Marusic;Marimuthu Palaniswami

  • Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability

    M. Brennan;M. Palaniswami;P. Kamen

  • Fuzzy c-Means Algorithms for Very Large Data

    T. C. Havens;J. C. Bezdek;C. Leckie;L. O. Hall

  • Support vector machines for automated gait classification

    R.K. Begg;M. Palaniswami;B. Owen

  • Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings

    A.H. Khandoker;M. Palaniswami;C.K. Karmakar

  • Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators.

    Michael Brennan;Marimuthu Palaniswami;Peter Kamen

  • Energy-efficient link-layer jamming attacks against wireless sensor network MAC protocols

    Yee Wei Law;Marimuthu Palaniswami;Lodewijk Van Hoesel;Jeroen Doumen

  • Anomaly detection in wireless sensor networks

    S. Rajasegarar;C. Leckie;M. Palaniswami

  • Real-time monitoring of construction sites: Sensors, methods, and applications

    Unknown

  • Distributed Anomaly Detection in Wireless Sensor Networks

    S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek

  • Intrusion Detection for Routing Attacks in Sensor Networks

    Chong Eik Loo;Mun Yong Ng;Christopher Leckie;Marimuthu Palaniswami

  • An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments

    Mohammad Goudarzi;Huaming Wu;Marimuthu Palaniswami;Rajkumar Buyya

  • Incremental training of support vector machines

    A. Shilton;M. Palaniswami;D. Ralph;Ah Chung Tsoi

  • Smoke detection in video using wavelets and support vector machines

    Jayavardhana Gubbi;Slaven Marusic;Marimuthu Palaniswami

  • Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

    S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek

  • PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid

    Lingjuan Lyu;Karthik Nandakumar;Ben Rubinstein;Jiong Jin

  • Static and dynamic channel assignment using neural networks

    K. Smith;M. Palaniswami

  • Complex Correlation Measure: a novel descriptor for Poincaré plot

    Chandan K Karmakar;Ahsan H Khandoker;Jayavardhana Gubbi;Marimuthu Palaniswami

  • An adaptive tracking controller using neural networks for a class of nonlinear systems

    M. Zhihong;H.R. Wu;M. Palaniswami

  • Optimal flow control and routing in multi-path networks

    Wei-Hua Wang;Marimuthu Palaniswami;Steven H. Low

Frequent Co-Authors

Sutharshan Rajasegarar
Sutharshan Rajasegarar Deakin University
Christopher Leckie
Christopher Leckie University of Melbourne
James C. Bezdek
James C. Bezdek University of Melbourne
Jiong Jin
Jiong Jin Swinburne University of Technology
Gang Feng
Gang Feng City University of Hong Kong
Ganesh R. Naik
Ganesh R. Naik Flinders University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Kate A. Smith
Kate A. Smith Monash University
Terry Caelli
Terry Caelli Deakin University
Tansu Alpcan
Tansu Alpcan University of Melbourne

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