Applying Kalman filter in EEG-Based Brain Computer Interface for Motor Imagery classification. - Nik Khadijah Nik Aznan; Yeon-Mo Yang (ICTC, 2013)

EEG-based motor imagery classification in BCI system by using unscented Kalman filter. - Nik Khadijah Nik Aznan; Kyung-Moo Huh; Yeon-Mo Yang (Int. J. Inf. Commun. Technol., 2016)

On the Classification of SSVEP-Based Dry-EEG Signals via Convolutional Neural Networks. - Nik Khadijah Nik Aznan; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (SMC, 2018)

Using Variable Natural Environment Brain-Computer Interface Stimuli for Real-time Humanoid Robot Navigation. - Nik Khadijah Nik Aznan; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (ICRA, 2019)

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Noura Al Moubayed; Toby P. Breckon (IJCNN, 2019)

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI. - Nik Khadijah Nik Aznan; Amir Atapour Abarghouei; Stephen Bonner; Jason D. Connolly; Toby P. Breckon (ICPR, 2020)

On tackling fundamental constraints in Brain-Computer Interface decoding via Deep Neural Networks. - Nik Khadijah Nik Aznan (2021)

Generating Synthetic Images & Data to Improve Object Detection in CCTV Footage from Public Transport. - Mike Simpson; Nik Khadijah Nik Aznan; John Brennan; Paul Watson 001; Philip James 002; Jennine Jonczyk (e-Science, 2022)

On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. - Nik Khadijah Nik Aznan; John Brennan; Daniel Bell; Jennine Jonczyk; Paul Watson 001 (IJCNN, 2022)