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Personal profile

Personal profile

Nazgul has graduated from University of Edinburgh in 2017 with MSc in Artificial Intelligence and from University College Dublin in 2013 with BSc in Computer Science. 

Nazgul is currently an Instructor at the Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University. Prior to joining Computer Science Department, Nazgul has been a TA at the Department of Robotics, Nazarbayev University.

Nazgul has taught Programming for Scientists and Engineers, Data Structures and Algorithms, Programming Languages and Research Methods since she joined the Computer Science Department.

Research interests

Nazgul's research interests include Probabilistic Reasoning, Explainable Artificial Intelligence and Human-Robot Interaction. Her research aims to making AI technologies understandable for human experts.


1. Tazhigaliyeva, Nazgul, et al. “Cyrillic manual alphabet recognition in RGB and RGB-D data for sign language interpreting robotic system (SLIRS).” Robotics and Automation (ICRA), 2017 IEEE International Conference on. IEEE, 2017.
2. Tazhigaliyeva, Nazgul, et al. “Learning with or from the robot: exploring robot roles in educational context with children.” International Conference on Social Robotics. Springer, Cham, 2016.
3. Tazhigaliyeva, Nazgul, et al. “Slirs: Sign language interpreting system for human-robot interaction.” 2016 AAAI Fall Symposium Series. 2016.
4. Balkibekov, Kairat, et al. “Should robots win or lose? Robot’s losing playing strategy positively affects child learning.” Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on. IEEE, 2016.
5. Folgheraiter, Michele, Nazgul Tazhigaliyeva, and Aibek Niyetkaliyev. “Adaptive joint trajectory generator based on a chaotic recurrent neural network.” Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on. IEEE, 2015.

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