Aleksandr Gilya-Zetinov
PhD, Moscow, expert in Data Science and AI
Author of new methods for tracking objects as applied to practical problems. A method has been developed for determining the maximum expected service time in a queue. Based on our own methods and well-known solutions for recognizing objects and poses (YOLO, OpenPose, etc.), software for video analytics was designed and implemented. Has more than 10 scientific publications