Area of research
Computer Vision and Pattern Recognition · Instrumentation
Research interest
Research focused on Artificial intelligence and Convolutional neural network, with related work in Pattern recognition (psychology), Support vector machine, Electroencephalography. Notable publications include 'Convolutional neural networks ensemble model for neonatal seizure detection', 'EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM', and 'Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface'.