Olga Krestinskaya

Ph.D. Students

​Ph. D. Student

Research Interest

​My 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.

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)
  • Analog Neuro-memristive Convolutional Dropout Nets
    O. Krestinskaya and A.P. James
    Philosophical Transactions of the Royal Society A: Mathematical, Physical an..., (2020)
  • Recursive Threshold Logic - A Bioinspired Reconfigurable Dynamic Logic System with Crossbar Arrays
    A.P. James, O. Krestinskaya and A. Maan
    IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), (2020)
  • Neuro-Memristive Circuits and Architectures for Edge Computing
    O. Krestinskaya, A.P. James, and L. Chua
    IEEE Transactions on neural networks and learning systems, (2019)
  • 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,..., (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)
  • 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)
  • 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)

Education

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

Professional Profile

  • ​2016–2019: Research Assistant, Nazarbayev University, Kazakhstan
    2017–2018: Teaching Assistant, Nazarbayev University, School of Engineering, Kazakhstan
    2018: Research Intern, FCT/UNL NOVA, Portugal 

Scientific and Professional Membership

​Student Member of Institute of Electrical and Electronics Engineers (IEEE)
Member of IEEE Circuit and Systems Society (CASS) 

Research Interests Keywords

​neuromorphic circuits and systems neural network architectures