Dr. Andrei Velichko

Andrei Velichko received a Ph.D. degree in Physics and Mathematics, specializing in Physical Electronics, from Petrozavodsk State University, Petrozavodsk, Russia, in 2002. From 2001 to 2015, he worked as a senior lecturer of the Department of Electronic and Ion Devices, and since 2016, he has worked as a leading research scientist at PetrSU. Dr. Velichko's research mainly focuses on artificial neural networks, oxide ReRAM, and metal–insulator transitions. He is the author of the LogNNet neural network configuration for IoT devices, as well as a time series entropy estimation algorithm called Neural Network Entropy (NNetEn).