Artem is an R&D Deep Learning Engineer at NVIDIA. He received his PhD degree from Ecole Polytechnique Federale de Lausanne in 2017, where he worked under the supervision of Prof. Pascal Fua and Prof. Vincent Lepetit.

His research interests are in the domains of object detection and tracking, computer vision, machine learning and computer graphics. Most of his work deals with the development of algorithms for (a) detection of small fast moving objects from a single moving camera and (b) synthetic data generation and its effective employment for training Convolutional Neural Networks using domain adaptation algorithms.