No matter where your beacon is, enjoy the waves you encounter on the way.
Building 3, Level 3.
- Neuromorphic engineering
- spiking neural network
B.S. in Electrical and Electronic Engineering, Nazarbayev University, Kazakhstan, 2020
Honors & Awards
- 2019 – 2020 “Fostering Research and Innovation Program” beneficiary, Young Research Alliance, Nazarbayev University, Nur-Sultan, Kazakhstan
- 2019 Yessenov Foundation “Research Internships” program winner, Duke University, Durham, N.C., USA
- 2019 – 2020 IEEE Student Chapter Chair, Nazarbayev University, Nur-Sultan, Kazakhstan
Adilya Bakambekova is currently pursuing a master’s degree as a member of the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).
Education and Early Career
Adilya Bakambekova received her bachelor’s degree in Electrical and Electronic Engineering from the Nazarbayev University, Kazakhstan.
Adilya Bakambekova is interested in the development of bio-inspired hardware for online learning and processing applications.
Deep Learning Theory Simplified
Adilya Bakambekova and Alex Pappachen James, Deep Learning Classifiers with Memristive Networks: Theory and Applications, Springer Nature, 2019.
Analog Memristive System Architecture for Mean-Pooling with Dropout Convolutional Neural Network
Olga Krestinskaya, Adilya Bakambekova and Alex Pappachen James (2019). AMSNet, In AICAS (2019 IEEE International Conference on Artificial Intelligence Circuits and Systems). Taiwan.
Meeting Deadlines in Datacenter Networks: An Analysis on Deadline – Aware Transport Layer Protocols.
Ayan Shymyrbay, Arshyn Zhanbolatov, Assilhan Amankhan, Adilya Bakambekova and Ikechi Augustine Ukaegbu (2018). In 2018 International Conference on Computing and Network Communications (CoCoNet). Nur-Sultan, Kazakhstan.