Data Scientist Computer Vision, Video Analytics and Deep Learning, NVIDIA
How to implement AI for real-time vision processing on the Edge
Ekaterina is a data scientist at NVIDIA specialized in solving computer vision and video analytics problems by means of AI. Her focus also includes fast deep learning inference on embedded devices. Previously, Ekaterina was a research engineer at Konica Minolta Laboratory Europe, where she developed deep learning algorithms for medical image analysis. She has authored several peer-reviewed journal and conference publications on various applications of image-based reconstruction, localization and tracking. Ekaterina received her Ph.D. in Computer Science and M.Sc. in Media Informatics from RWTH Aachen University in Germany, she also holds a Diploma in Business Informatics from BSUEL in Russia.