World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4774
World Ranking
6048
National Ranking
92

Overview

A. P. Vinod is affiliated with the Singapore Institute of Technology in Singapore and has a focused research profile within the field of neuroscience. Their work primarily intersects neuroscience with engineering disciplines, particularly emphasizing brain-computer interfaces and neural signal processing.

Their publication record spans diverse topics including cognitive neuroscience and biomedical engineering, with frequent contributions to areas such as EEG and brain-computer interfaces, neural dynamics, and assistive technologies. The main fields and subfields of their research are as follows:

  • Neuroscience
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Human-Computer Interaction

Their research topics cover:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Gaze Tracking and Assistive Technology
  • Neural dynamics and brain function
  • GaN-based semiconductor devices and materials
  • Analog and Mixed-Signal Circuit Design
  • Advanced Memory and Neural Computing

Several recent papers highlight their ongoing investigations in brain-computer interface technologies and neural decoding methodologies. Notable publications include:

  • FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface, 2021, arXiv (Cornell University)
  • Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method, 2021, Biomedical Signal Processing and Control
  • Drowsiness detection using portable wireless EEG, 2021, Computer Methods and Programs in Biomedicine
  • Cognitive Workload Estimation Using Variational Autoencoder and Attention-Based Deep Model, 2022, IEEE Transactions on Cognitive and Developmental Systems

Their work is frequently published in venues such as Biomedical Signal Processing and Control and arXiv, with additional contributions to IEEE Systems Man and Cybernetics Magazine, Biomedical Physics & Engineering Express, and the 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT).

  • Biomedical Signal Processing and Control
  • arXiv (Cornell University)
  • IEEE Systems Man and Cybernetics Magazine
  • Biomedical Physics & Engineering Express
  • 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)

Collaborations are a significant aspect of their research activities. Frequent co-authors include:

  • G. Amarnath
  • Praveen K. Parashiva
  • Okyay Kaynak
  • Chen Chen
  • Saeid Nahavandi

Best Publications

  • A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces

    K.P. Thomas;Cuntai Guan;Chiew Tong Lau;A.P. Vinod

  • New Reconfigurable Architectures for Implementing FIR Filters With Low Complexity

    R. Mahesh;A.P. Vinod

  • A New Common Subexpression Elimination Algorithm for Realizing Low-Complexity Higher Order Digital Filters

    R. Mahesh;A.P. Vinod

  • EEG-Based Classification of Fast and Slow Hand Movements Using Wavelet-CSP Algorithm

    Neethu Robinson;A. P. Vinod;Kai Keng Ang;Keng Peng Tee

  • Design of Reversible Sequential Elements With Feasibility of Transistor Implementation

    H. Thapliyal;A.P. Vinod

  • Coefficient decimation approach for realizing reconfigurable finite impulse response filters

    R. Mahesh;A.P. Vinod

  • Information Theoretic Approach to Complexity Reduction of FIR Filter Design

    Chip-Hong Chang;Jiajia Chen;A.P. Vinod

  • Low power and high-speed implementation of fir filters for software defined radio receivers

    A.P. Vinod;E.M.-K. Lai

  • Reconfigurable Frequency Response Masking Filters for Software Radio Channelization

    R. Mahesh;A.P. Vinod

  • EEG-Based Biometric Authentication Using Gamma Band Power During Rest State

    Kavitha P Thomas;A. P. Vinod

  • Multi-class EEG classification of voluntary hand movement directions.

    Neethu Robinson;Cuntai Guan;A P Vinod;Kai Keng Ang

  • Filter Bank Channelizers for Multi-Standard Software Defined Radio Receivers

    R. Mahesh;A. P. Vinod;Edmund M-K. Lai;Amos Omondi

  • Low complexity flexible filter banks for uniform and non-uniform channelisation in software radios using coefficient decimation

    R. Mahesh;A.P. Vinod

  • Design of an online EEG based neurofeedback game for enhancing attention and memory

    Kavitha P. Thomas;A. P. Vinod;Cuntai Guan

  • An adaptive threshold based energy detector for spectrum sensing in cognitive radios at low SNR

    R Nair Prashob;A. P. Vinod;Anoop Kumar Krishna

  • On the implementation of efficient channel filters for wideband receivers by optimizing common subexpression elimination methods

    A.P. Vinod;E.M.-K. Lai

  • FIR filter implementation by efficient sharing of horizontal and vertical common subexpressions

    A. P. Vinod;Edmund M-K. Lai;A. B. Premkumar;C. T. Lau

  • Reconfigurable Low Area Complexity Filter Bank Architecture Based on Frequency Response Masking for Nonuniform Channelization in Software Radio Receivers

    R Mahesh;A P Vinod

  • Motor Imagery Hand Movement Direction Decoding Using Brain Computer Interface to Aid Stroke Recovery and Rehabilitation

    V. K. Benzy;A. P. Vinod;R. Subasree;Suvarna Alladi

  • A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface

    Ravikiran Mane;Neethu Robinson;A. P. Vinod;Seong-Whan Lee

  • A MEMORYLESS REVERSE CONVERTER FOR THE 4-MODULI SUPERSET {2n - 1, 2n, 2n + 1, 2n + 1 - 1}

    A. P. Vinod

  • Toward EEG-Based Biometric Systems: The Great Potential of Brain-Wave-Based Biometrics

    Kavitha P. Thomas;A.P. Vinod

Frequent Co-Authors

Pramod Kumar Meher
Pramod Kumar Meher Sandhaan Labs Private Limited
Himanshu Thapliyal
Himanshu Thapliyal University of Tennessee at Knoxville
Honggang Zhang
Honggang Zhang Zhejiang University
Suhaib A. Fahmy
Suhaib A. Fahmy King Abdullah University of Science and Technology
Shahriar Mirabbasi
Shahriar Mirabbasi University of British Columbia

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

For those interested in Electronics and Electrical Engineering, exploring online colleges for military spouses can open up flexible education options that accommodate unique life circumstances. These programs often provide supportive communities tailored to the needs of military families.

Many students value flexibility, making online schools with multiple start dates especially attractive. This approach allows learners to begin their studies without delay and progress at a pace that suits their schedules.

In addition to full degree paths, short-term credentials can accelerate career growth. Programs highlighted in short term certificate programs offer valuable technical skills that enhance employability and supplement formal degrees.

For those who thrive in solitary or focused environments, there are high paying careers for introverts within the engineering and technology fields. These pathways often leverage analytical and independent work styles, perfectly aligning with electrical engineering roles.

Best Scientists Citing A. P. Vinod

Trending Scientists