Anara Sandygulova, PhD

Assistant Professor

Assistant Professor, School of Engineering and Digital Sciences, Department of Robotics and Mechatronics

Emailanara.sandygulova@nu.edu.kz

Accepting PhD Students

PhD projects

1) Kazakh Sign Language Recognition 2) Kazakh Sign Language Generation 3) Multilingual Text-to-Speech Voice Engine for Robot Speech Perception and Generation 4) Adaptive Learning of Latin Script: Kazakh Language Handwriting Recognition and Spellchecking 5) Adapting to One's Learning Style using Learning by Demonstration and Reinforcement Learning 6) Reciprocal Peer Tutoring for Long-term Child-Robot Interaction All projects have funding, occasional travel to partner sites (EPFL, Switzeland, University of New South Wales, Sydney, Australia, University of Bergen, Norway) and participation in the top conferences will be required. BS and MS students are also encouraged to join these projects. Email me for any questions or drop by 7e320 (office) or C4.427 (lab).

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

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3 Active

3 results

Active
Stochastic and learning-based predictive control methods for physical human-robot interaction.
Rubagotti, M., Sandygulova, A., Shintemirov, A., Yessenbayev, Z. & Summers, D.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
CoWriting Kazakh: Learning New Script with a Robot
Sandygulova, A., CohenMiller, A., Summers, D., Alizadeh, T., Yessenbayev, Z., Johal, W. & Dillenbourg, P.
1/1/20 → 12/31/22
Project: Monitored by Research Administration
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.
1/31/19 → 12/31/21
Project: Monitored by Research Administration

Search results

Stochastic and learning-based predictive control methods for physical human-robot interaction.

CoWriting Kazakh: Learning New Script with a Robot

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