Ekaterina Sirazitdinova
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.

Please note that in-person conferences (i.e. AI Hardware Expo on May 5th-6th 2020, AI Enterprise Expo on August 25th-26th 2020 and AI Robotics Expo on November 12th-13th 2020 at SEMI, Milpitas, Silicon Valley) are converted into this virtual AI Expo series.