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Ms Nik Khadijah Nik Aznan

Postgraduate Student

BSc (Hons) MEng

AffiliationRoom numberTelephone
Postgraduate Student in the Department of Computer ScienceMathematical Sciences and Computer Science Building 
Postgraduate student in the Department of Engineering  


Personal Information

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.

Research interests

  • Brain Computer Interface Application
  • Machine Learning
  • Humanoid Robot
  • Artificial Intelligence


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.

Conference Paper

  • 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.

Journal Article

  • 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.