• 8 Citations
  • 2 h-Index
20152021
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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.

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.

External positions

Fingerprint Dive into the research topics where Nazgul Tazhigalieyva is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Human robot interaction Engineering & Materials Science
Robotics Engineering & Materials Science
Audition Engineering & Materials Science
Law enforcement Engineering & Materials Science
Neural networks Engineering & Materials Science
Gesture recognition Engineering & Materials Science
Recurrent neural networks Engineering & Materials Science
Communication Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2021

K-SLARS: Kazakh Sign Language Automatic Recognition System (K-SLARS)

Sandygulova, A., Yessenbayev, Z., Parisi, G. I., Kimmelman, V., Aitpayev, K., Tazhigalieyva, N., Mukushev, M., Imashev, A. & Nurgabylov, Y.

1/31/1912/31/21

Project: Research project

Learning systems
Audition
Speech recognition
Computer vision

Research Output 2015 2017

  • 8 Citations
  • 2 h-Index
  • 4 Conference contribution
2 Citations (Scopus)

Cyrillic manual alphabet recognition in RGB and RGB-D data for sign language interpreting robotic system (SLIRS)

Tazhigaliyeva, N., Kalidolda, N., Imashev, A., Islam, S., Aitpayev, K., Parisi, G. I. & Sandygulova, A., Jul 21 2017, ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., p. 4531-4536 6 p. 7989526

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human robot interaction
Audition
Law enforcement
Learning algorithms
Learning systems
3 Citations (Scopus)

Should robots win or lose? Robot's losing playing strategy positively affects child learning

Balkibekov, K., Meiirbekov, S., Tazhigaliyeva, N. & Sandygulova, A., Nov 15 2016, 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. Institute of Electrical and Electronics Engineers Inc., p. 706-711 6 p. 7745196

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning
Robots
Educational robots
Vocabulary
Teaching

SLIRS: Sign language interpreting system for human-robot interaction

Tazhigaliyeva, N., Nurgabylov, Y., Parisi, G. I. & Sandygulova, A., Jan 1 2016, FS-16-01: Artificial Intelligence for Human-Robot Interaction; FS-16-02: Cognitive Assistance in Government and Public Sector Applications; FS-16-03: Cross-Disciplinary Challenges for Autonomous Systems; FS-16-04: Privacy and Language Technologies; FS-16-05: Shared Autonomy in Research and Practice. AI Access Foundation, Vol. FS-16-01 - FS-16-05. p. 94-99 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gesture recognition
Human robot interaction
Audition
Law enforcement
Robotics
1 Citation (Scopus)

Adaptive joint trajectory generator based on a chaotic recurrent neural network

Folgheraiter, M., Tazhigaliyeva, N. & Niyetkaliyev, A., Dec 2 2015, 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015. Institute of Electrical and Electronics Engineers Inc., p. 285-290 6 p. 7346158

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Network architecture
Kinematics
Robotics
Chemical activation