Nazarbayev University Research and Innovation System

Fingerprint Dive into the research topics where Nazarbayev University Research and Innovation System is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Robots Engineering & Materials Science
Neurons Engineering & Materials Science
graphene Physics & Astronomy
ion beams Physics & Astronomy
Trajectories Engineering & Materials Science
signatures Physics & Astronomy
gravitation Physics & Astronomy
Control systems Engineering & Materials Science

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

Projects 2017 2021

Structured light for nonlinear and topological photonics

Desyatnikov, A., Kovanis, V., Valagiannopoulos, C., Dybyspayeva, K. B., Azimkhanova, A., Issakhanov, A., Chong, Y. & Leykam, D.

6/1/176/1/21

Project: Research project

photonics
chips
data storage
electronics
communication

Research Output 2015 2018

  • 6 Citations
  • 1 h-Index
  • 2 Conference contribution
  • 2 Article
  • 1 Conference article
1 Citation (Scopus)

A Series Elastic Tactile Sensing Array for Tactile Exploration of Deformable and Rigid Objects

Kappassov, Z., Baimukashev, D., Adiyatov, O., Salakchinov, S., Massalin, Y. & Varol, H. A., Dec 27 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. Institute of Electrical and Electronics Engineers Inc., p. 520-525 6 p. 8593755. (IEEE International Conference on Intelligent Robots and Systems).

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

Sensors
Robots
Manipulators
Neodymium
End effectors
4 Citations (Scopus)

Cosmic growth signatures of modified gravitational strength

Denissenya, M. & Linder, E. V., Jun 15 2017, In : Journal of Cosmology and Astroparticle Physics. 2017, 6, 030.

Research output: Contribution to journalArticle

signatures
gravitation
dark energy
newton
histories
1 Citation (Scopus)

Development of a neuromorphic control system for a lightweight humanoid robot

Folgheraiter, M., Keldibek, A., Aubakir, B., Salakchinov, S., Gini, G., Franchi, A. M. & Bana, M., Mar 22 2017, In : IOP Conference Series: Materials Science and Engineering. 185, 1, 012021.

Research output: Contribution to journalConference article

Neurons
Trajectories
Robots
Control systems
Recurrent neural networks