Nazgul Tazhigaliyeva

Department: Computer Science
Position: Instructor
Degree: MSc in Artificial Intelligence, University of Edinburgh, United Kingdom
Phone: + 7 (7172) 70-93-81


2009-2013 BSc Computer Science, University College Dublin, Ireland
2016-2017 MSc Artificial Intelligence, University of Edinburgh, United Kingdom
Prior to becoming an instructor at the Computer Science Department, I was a research and laboratory assistant in the Department of Robotics for three years. Before coming to Nazarbayev University I was an  International Project Engineer Intern in Microsoft Ireland for six months. 

My current research interests include agent-based programming, probabilistic reasoning, human-robot interaction, reinforcement learning and machine learning. In particular, I am keen on Explainable and Human-Friendly Artificial Intelligence i.e. machine learning techniques that can interpret their decisions to human users. 

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.