World's Best Scientists 2026 revealed!
Ramaswamy Palaniappan

Ramaswamy Palaniappan

D-Index & Metrics

Computer Science

D-Index
30
Citations
3468
World Ranking
14149
National Ranking
903

Overview

Ramaswamy Palaniappan is affiliated with the University of Kent in the United Kingdom. Their research spans several scientific fields, primarily focusing on Neuroscience, Computer Science, and Medicine. Within these areas, they have contributed extensively to subfields such as Cognitive Neuroscience, Signal Processing, Pulmonary and Respiratory Medicine, Neurology, and Human-Computer Interaction.

The scientist's work covers various topics, including EEG and Brain-Computer Interfaces, Music and Audio Processing, Phonocardiography and Auscultation Techniques, Visual perception and processing mechanisms, Speech and Audio Processing, Respiratory and Cough-Related Research, and Olfactory and Sensory Function Studies.

Palaniappan has coauthored with several researchers across multiple projects. Frequent collaborators include Ian McLoughlin, Emmanuel Molefi, Lam Pham, Alfred Mertins, and Surej Mouli.

Publications by Palaniappan often appear in venues such as arXiv (Cornell University), Technologies, Digital Signal Processing, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Scientific Reports.

Notable recent papers include:

  • DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset, 2020, HardwareX
  • In-Ear Electrode EEG for Practical SSVEP BCI, 2020, Technologies
  • Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework, 2020, Digital Signal Processing
  • Robust Long-Term Hand Grasp Recognition With Raw Electromyographic Signals Using Multidimensional Uncertainty-Aware Models, 2023, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection, 2021, IEEE Journal of Biomedical and Health Informatics

In addition to journal articles and conference papers, Palaniappan has contributed to book publications affiliated with the University of Kent. Two titles published in 2021 are Biological Signal Analysis and Digital Systems Design.

Best Publications

  • Biometrics from Brain Electrical Activity: A Machine Learning Approach

    R. Palaniappan;D.P. Mandic

  • Neural network classification of homomorphic segmented heart sounds

    Cota Navin Gupta;Ramaswamy Palaniappan;Sundaram Swaminathan;Shankar M. Krishnan

  • EEG Based Biometric Framework for Automatic Identity Verification

    Ramaswamy Palaniappan;Danilo P. Mandic

  • Method of identifying individuals using VEP signals and neural network

    Unknown

  • Multiresolution analysis over simple graphs for brain computer interfaces

    Javier Asensio-Cubero;J Q Gan;Ramaswamy Palaniappan

  • Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity

    R. Yuvaraj;M. Murugappan;Norlinah Mohamed Ibrahim;Kenneth Sundaraj

  • Improving visual evoked potential feature classification for person recognition using PCA and normalization

    Unknown

  • Optimal set of EEG features for emotional state classification and trajectory visualization in Parkinson's disease.

    Rajamanickam Yuvaraj;Murugappan Murugappan;Norlinah Mohamed Ibrahim;Kenneth Sundaraj

  • VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics

    Unknown

  • Classification of Mental Tasks Using Fixed and Adaptive Autoregressive Models of EEG Signals

    Unknown

  • Individual identification technique using visual evoked potential signals

    Unknown

  • Using genetic algorithm to select the presentation order of training patterns that improves simplified fuzzy ARTMAP classification performance

    Ramaswamy Palaniappan;Chikkanan Eswaran

  • Analogue mouse pointer control via an online steady state visual evoked potential (SSVEP) brain–computer interface

    John J Wilson;Ramaswamy Palaniappan

  • Classification of biological signals using linear and nonlinear features

    T. Balli;Ramaswamy Palaniappan

  • A Robust Framework for Acoustic Scene Classification

    Unknown

  • Segmentation and classification of heart sounds

    C.N. Gupta;R. Palaniappan;S. Rajan;S. Swaminathan

  • Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: a comparative study.

    R. Yuvaraj;M. Murugappan;Norlinah Mohamed Ibrahim;Mohd Iqbal Omar

  • Multiresolution analysis over graphs for a motor imagery based online BCI game

    Javier Asensio-Cubero;John Q. Gan;Ramaswamy Palaniappan

  • Recognising Individuals Using Their Brain Patterns

    Unknown

  • Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing

    Javier Asensio-Cubero;John Q. Gan;Ramaswamy Palaniappan

  • Exploiting the P300 paradigm for cognitive biometrics

    Cota Navin Gupta;Ramaswamy Palaniappan;Raveendran Paramesran

  • Considerations on Strategies to Improve EOG Signal Analysis

    Ramaswamy Palaniappan;Tobias Wissel

  • Inter-hemispheric EEG coherence analysis in Parkinson’s disease: Assessing brain activity during emotion processing

    Rajamanickam Yuvaraj;Murugappan Murugappan;Norlinah Mohamed Ibrahim;Kenneth Sundaraj

  • Novel analysis technique for a brain biometric system

    Cota Navin Gupta;Ramaswamy Palaniappan;Sundaram Swaminathan

  • Energy of brain potentials evoked during visual stimulus: a new biometric?

    Ramaswamy Palaniappan;Danilo P. Mandic

  • Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli

    Surej Mouli;Ramaswamy Palaniappan;Ian P. Sillitoe;John Q. Gan

  • Screening for Chronic Alcoholic Subjects Using Multiple Gamma Band EEG: A Pilot Study

    Ramaswamy Palaniappan

Frequent Co-Authors

Danilo P. Mandic
Danilo P. Mandic Imperial College London
Cecilia Laschi
Cecilia Laschi National University of Singapore
Danilo De Rossi
Danilo De Rossi University of Pisa
Carlo Menon
Carlo Menon ETH Zurich
Federico Carpi
Federico Carpi University of Florence
Franca Tecchio
Franca Tecchio National Research Council (CNR)
Mario Tombini
Mario Tombini Università Campus Bio-Medico
Joydeep Bhattacharya
Joydeep Bhattacharya Goldsmiths University of London
Paolo Dario
Paolo Dario Sant'Anna School of Advanced Studies
Riccardo Poli
Riccardo Poli University of Essex

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a wide range of online degree options and emerging career paths. Many students choose interdisciplinary or specialized routes to broaden their professional prospects. With the advent of flexible learning, you can now study relevant areas such as engineering, physics, and data science from anywhere in the world.

For those interested in sustainability and environmental technology, an environmental engineering online degree is an attractive choice. If you are looking for hands-on design skills and core engineering knowledge, the cheapest mechanical engineering degree online programs can pave the way to careers in a variety of industries.

A strong foundation in the sciences is possible through an online physics degree, ideal for students aiming for roles in research or technical fields. For those drawn to big data and analytics, the cheapest master in data science programs provide affordable entry into this rapidly growing sector.

Best Scientists Citing Ramaswamy Palaniappan

Trending Scientists

Recently Published Articles