neural network accelerator

Li Zhang

Ph.D. Student, Electrical and Computer Engineering

neural network accelerator convolutional neural network software/hardware co-design

Li Zhang is currently a Ph.D. student at the Sensors Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST). Education and Early Career Li Zhang received the B.S. degree in microelectronic science and engineering from University of Electronic Science and Technology of China, China, 2018 and the M.S. degree in electrical engineering from King Abdullah University of Science and Technology, Saudi Arabia, 2019. Areas of Expertise and Research Interests Li Zhang is interested in quantized neural networks, neural network accelerator and

Kamilya Smagulova

Postdoctoral Research Fellow, Communication and Computing Systems Lab

machine learning memristors neural network accelerator

Education and early career Kamilya received her bachelor degree in Radio Engineering and Telecommunications from Almaty University of Power Engineering and Telecommunications (2008) and masters degree in Nanotechnology from University College London (2011). In 2021 she obtained her PhD degree in Electrical and Computer Engineering from Nazarbayev University. Currently Kamilya is a postdoctoral fellow at Communication and Computing Systems Lab (CCSL) under supervision of Prof. Ahmed Eltawil. Her research interests lie primarily in the area of machine learning and resistive hardware accelerators