Cancelable Biometric Template Generation Using Convolutional Autoencoder. - Gourav Siddhad; Pritee Khanna; Aparajita Ojha (CVIP (1), 2020)

Cancelable Template Generation Using Convolutional Autoencoder and RandNet. - Pankaj Bamoriya; Gourav Siddhad; Pritee Khanna; Aparajita Ojha (CVIP (1), 2021)

Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning. - Anmol Gupta; Gourav Siddhad; Vishal Pandey; Partha Pratim Roy 001; Byung-Gyu Kim (Sensors, 2021)

Efficacy of Transformer Networks for Classification of Raw EEG Data. - Gourav Siddhad; Anmol Gupta; Debi Prosad Dogra; Partha Pratim Roy 001 (CoRR, 2022)

DSB-GAN: Generation of deep learning based synthetic biometric data. - Pankaj Bamoriya; Gourav Siddhad; Harkeerat Kaur; Pritee Khanna; Aparajita Ojha (Displays, 2022)

Max-min threshold-based cancelable biometric templates for low-end devices. - Gourav Siddhad; Pritee Khanna (J. Electronic Imaging, 2022)

DrowzEE-G-Mamba: Leveraging EEG and State Space Models for Driver Drowsiness Detection. - Gourav Siddhad; Sayantan Dey; Partha Pratim Roy 001 (ICPR (27), 2024)

Awake at the Wheel: Enhancing Automotive Safety Through EEG-Based Fatigue Detection. - Gourav Siddhad; Sayantan Dey; Partha Pratim Roy 001; Masakazu Iwamura (ICPR (11), 2024)

Neural Networks Meet Neural Activity: Utilizing EEG for Mental Workload Estimation. - Gourav Siddhad; Partha Pratim Roy 001; Byung-Gyu Kim (ICPR (11), 2024)

Enhancing EEG Signal-Based Emotion Recognition with Synthetic Data: Diffusion Model Approach. - Gourav Siddhad; Masakazu Iwamura; Partha Pratim Roy 001 (CoRR, 2024)

Efficacy of transformer networks for classification of EEG data. - Gourav Siddhad; Anmol Gupta; Debi Prosad Dogra; Partha Pratim Roy 001 (Biomed. Signal Process. Control., 2024)

MECASA: Motor Execution Classification using Additive Self-Attention for Hybrid EEG-fNIRS Data. - Gourav Siddhad; Juhi Singh; Partha Pratim Roy 001 (CoRR, 2025)