Alexander Khanin is Founder and CEO of VisionLabs company, which he founded in April 2012.
Team leader and author of visual recognition technology.
He studied at ICVSS 2014 Computer Vision, ENS/INRIA 2013 Visual Recognition and Machine Learning, Imperial College Robotics 2012 and Microsoft Computer Vision 2011 Summer Schools.
In 2009 – 2012, he was leading department in Scientific Research Institute.
In 2011 – 2014, Alexander was a PhD student for Computer vision & Robotics at Bauman Moscow State Technical University.
In 2011, he graduated with honors from the Bauman Moscow State Technical University as a Robotics engineer (Mechatronics, Robotics, and Control Automation Theory).
Alexander Khanin is an OMG-Certified UML Professional Advanced.
Currently he develop and raise the company in a role of a CEO.
Also Alexander is lecturing Control Automation Theory at Bauman Moscow State Technical University to share his expertise and to inspire students.
Government agencies and commercial companies today demonstrate high demand for versatile, stable and highly-efficient person identification solutions supporting cross-domain face recognition and person database clusterization in both controlled and uncontrolled scenarios.
Now it becomes possible to successfully resolve cross-domain face recognition challenge using deep learning and even tasks of quadratic complexity using GPU-powered inference of CNN-based face recognition algorithms.
We'll focus on
(I) the concept of the GPU-powered platform for cross-domain face recognition;
(II) its essential performance and critical technical characteristics;
(III) approach to reaching the demanded efficiency and quality by using the NVIDIA GPU;
(IV) provide examples of completed and ongoing projects that demonstrate achieved high performance and quality parameters in real life conditions.