• Building 3, Level 3.

Education Profile

  • M.Sc., Nazarbayev University, 2018.
  • B.Sc., Nazarbayev University, 2016.

Honors & Awards

  • 2019 IEEE Circuits and Systems Pre-Doctoral Award.
  • 2018 Erasmus Student Mobility Scholarship.

Olga Krestinskaya is a PhD student at the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST).  Olga`s research is focusing on reconfigurable neural network implementation on CMOS-memristive hardware.

Research Interests

Olga`s research area is neuromorphic and brain-inspired algorithms, circuits, and architectures. In particular, she is interested in memristor-based architectures for neural networks and neuro-inspired systems. Currently, Olga is focusing on analog circuit-level implementations of reconfigurable memristive neural network architecture and optimization of hyperparameters.

Education and Early Career

Olga Krestinskaya received her M.Sc. and B.S. degrees from Nazarbayev University in 2016 and 2018. Olga was working as a Teaching Assistant (2017-2018) and Research Assistant (2016-2019) and was involved in several projects connected to hardware implementation of neuromorphic architectures. In 2018, Olga was undergoing a research internship under the Erasmus Student Mobility Program in  FCT/UNL NOVA University in Portugal. In 2017 and 2019, Olga was an intern in Kaust under the supervision of Prof. Khaled Salama.

Olga is the recipient of the 2019 IEEE CASS Pre-doctoral award. She has published several high quality works in the area of analog memristive neural network designs including CNN, LSTM, BNN and HTM. She is a reviewer and author to several top IEEE journals and conferences.

Selected Publications

Automating Analog AI Chip Design with Genetic Search

O. Krestinskaya, K.N. Salama and A.P. James, Advanced Intelligent Systems, 2020, Memristive GAN in Analog.O. Krestinskaya, B.Choubey, and A.P. James, Scientific Reports. 2020 Apr 3;10(1):1-4.

Neuro-Memristive Circuits and Architectures for Edge Computing: A Review 
O. Krestinskaya, A.P. James, and L. Chua

IEEE Transactions on neural networks and learning systems. 2019 Mar 14;31(1):4-23.

Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits
O. Krestinskaya, K.N. Salama and A.P. James

IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 2, pp. 719-732, Feb.2019. 

Who is the winner? Memristive-CMOS hybrid modules: CNN-LSTM versus HTM.

K. Smagulova, O. Krestinskaya and A.P. James

IEEE Transactions on Biomedical Circuits and Systems. 2019 Nov 28;14(2):164-72.     

Hierarchical temporal memory using memristor networks: A survey.

O. Krestinskaya, I.Dolzhikova and A.P. James

IEEE Transactions on Emerging Topics in Computational Intelligence. 2018 Sep 24;2(5):380-95.

Hierarchical temporal memory features with memristor logic circuits for pattern recognition.

O. Krestinskaya, T. Ibrayev and A.P. James

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2017 Aug 31;37(6):1143-56.