Ms Nik Khadijah Nik Aznan, BSc (Hons) MEng
(email at firstname.lastname@example.org)
Nik Khadijah is a PhD student in the School of Engineering and Computer Science and is collaborating with the Department of Psychology at Durham University. She completed a Masters degree in Engineering focused on the classification of motor imagery-based BCI (Brain Computer Interface). Currently she is working on BCI applications by using Video interpretation as SSVEP Stimuli.
- Artificial Intelligence
- Brain Computer Interface Application
- Humanoid Robot
- Machine Learning
Chapter in book
- Aznan, Nik Khadijah Nik & Yang, Yeon-Mo (2014). Development of Home Automation System by Using ZigbeX and Atmega128 for Wireless Sensor Networks. In Recent Development in Wireless Sensor and Ad-hoc Networks. New Delhi: Springer. 45.
- Aznan, Nik Khadijah Nik, Huh, Kyung Moo & Yang, Yeon Mo (2016). EEG-based motor imagery classification in BCI system by using unscented Kalman filter. International Journal of Information and Communication Technology 9(4): 492-508.
- Aznan, Nik Khadijah Nik & Yang, Yeon-Mo (2013), Applying Kalman filter in EEG-Based Brain Computer Interface for Motor Imagery classification, 2013 International Conference on ICT Convergence (ICTC 2013). Jeju Island, South Korea, IEEE, 688-690.