Nazgul Tazhigaliyeva [+]

Nazgul Tazhigaliyeva has obtained her MSc in Artificial Intelligence from the University of Edinburgh in 2017, and BSc in Computer Science from University College Dublin in 2013. Prior to becoming an instructor at the Computer Science Department, Nazgul was a research and laboratory assistant at the Department of Robotics, Nazarbayev University for three years. Before coming to Nazarbayev University Nazgul was an International Project Engineer Intern in Microsoft Ireland for six months. Her current research interests include agent-based programming, probabilistic reasoning, human-robot interaction, reinforcement learning and machine learning. In particular, Nazgul is interested in Explainable and Human-Friendly Artificial Intelligence i.e. machine learning techniques that can interpret their decisions to human users.

Publications:

  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.