VA
Vinod A. P.
Singapore Institute of Technology, Hong Kong University of Science and Technology, Nanyang Technological University, Indian Institute of Technology
Research areas: Computer Science · Signal Processing · Digital Filter Design and Implementation · EEG and Brain-Computer Interfaces · Analog and Mixed-Signal Circuit Design
Employment
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Singapore Institute of Technology Professor2022 - Present
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The Hong Kong University of Science and Technology Professor of Engineering Practice2020 - 2022
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Indian Institute of Technology Professor2017 - 2020
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Nanyang Technological University Associate Professor2002 - 2017
Education
Projects & Funding
Projects & funding information is unavailable.
Publications (275)
- Cognitive Workload Estimation Using Variational Auto Encoder & Attention-based Deep Model Save
- Drowsiness detection using portable wireless EEG Save
- High accuracy decoding of motor imagery directions from EEG-based brain computer interface using filter bank spatially regularised common spatial pattern method Save
- Improving direction decoding accuracy during online motor imagery based brain-computer interface using error-related potentials Save
- Single-trial detection of EEG error-related potentials in serial visual presentation paradigm Save
- A Nonlinear Penalty Driven Adaptive Thresholding Algorithm for Drowsiness Detection using EEG Save
- A Survey of Algorithmic and Hardware Optimization Techniques for Vision Convolutional Neural Networks on FPGAs Save
- An Efficient Electrode Ranking Method for Single Trial Detection of EEG Error-Related Potentials Save
- An approach towards physics informed lung ultrasound image scoring neural network for diagnostic assistance in COVID-19 Save
- Design and implementation of low complexity reconfigurable filtered-OFDM-Based LDACS Save
- EMPLOYING ACOUSTIC FEATURES TO AID NEURAL NETWORKS TOWARDS PLATFORM AGNOSTIC LEARNING IN LUNG ULTRASOUND IMAGING Save
- FBCNet: A multi-view convolutional neural network for Brain-Computer Interface Save
- Maximum Variance-based EEG Time Bin Selection for Decoding of Imagined Hand Movement Directions in Brain Computer Interface Save
- Online Hand Motor Imagery Direction Decoding using Brain Computer Interface Save
- Person-identification using familiar-name auditory evoked potentials from frontal EEG electrodes Save
- Separability of motor imagery directions using subject-specific discriminative EEG features Save
- Single-trial detection of EEG error-related potentials using modified power-law transformation Save
- A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface Save
- A Power-Efficient Spectrum-Sensing Scheme Using 1-Bit Quantizer and Modified Filter Banks Save
- An Adaptive Energy Detection Scheme with Real-Time Noise Variance Estimation Save