Andrey Kuznetsov Email and Phone Number
Since 2010, I have been developing applied methods and algorithms for image processing tasks, including Earth remote sensing data. The key research topic throughout the entire research experience is devoted to the development of new methods for detecting artificial distortions (fakes) of multimedia data. Areas of interest: computer vision, deep learning, image processing.
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Head Of Fusionbrain LaboratoryAiri Nov 2023 - PresentLeading multimodal and generative AI research teams in the following fields: multimodal models for vision, audio, text and other modalities; multiagent LLM algorithms and frameworks; modalities fusion approaches; intrinsic embedding attributes investigation; generative AI for text-to-image and text-to-video synthesis; attacks on LLMs and multimodal models.FusionBrain Laboratory consists of 5 core research teams:1. Multimodal and multiagent models design2. Large models architectural insights3. AGI for robotics4. Video Generative AI5. Controllable Generative AI -
Executive DirectorSberbank Jan 2022 - PresentLead and plan research in computer vision and multimodal fields of research, develop AI-based software, publish papers in Q1 journals and A/A* conference proceedings, achieve SoTA quality results. Leading a team which is responsible for: 1) GHOST - one shot face swap model to transfer a face from a single image to image or video (SoTA) 2) Kandinsky - an autoregressive text-to-image generative model 3) Kandinsky 2.0 - a diffusion-based text-to-image generative model 4) Kandinsky 2.1 - a diffusion-based text-to-image generative model with strong quality enhancement (open-source SoTA) 5) GIGACHAT - a multimodal chat GPT-like model 6) RUDOLPH - a multimodal multitask single autoregressive architecture 7) FaceSearch - a fast video analysis tool for face reidentification -
Associate ProfessorSamara State Aerospace University (National Research University) Jun 2010 - PresentSamara, Samara, RussiaDevelop AI solutions for computer vision using machine learning and multimedia data processing methods. Actively use deep learning methods to achieve results. Conduct research in the field of remote sensing data analysis, digital forgery detection, computer vision, machine learning and image processing.Supervise several RFBR grants on the topic of digital forgery detection for images and videos, including the use of deep learning methods.Develop methods, algorithms and software using C # and Python programming languages. Developed several commercial products using ASP.NET Core.Publish scientific papers (approx. 40 in Scopus and Web of Science databases). Teach the author's course "Technology of Designing Secure Distributed Applications" at the Department of Geoinformatics and Information Security. Give lectures on science popularization for applicants and students. -
Computer Vision Software EngineerUpwork Jan 2018 - Dec 2021Developed more than 20 projects on software development and computer vision. Top Rated developer. -
Инженер-ПрограммистСамара-Информспутник Jun 2010 - Dec 2021СамараРазработка программного обеспечения в области геоинформационных систем и анализа данных (цифровые изображения, видео и т.д.)
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ПрограммистMercury Development, Llc Mar 2007 - Oct 2008Разработка программного обеспечения с использованием С++, .NET и AJAX. Приложение для кинотеатров, биллинговые системы
Andrey Kuznetsov Education Details
Frequently Asked Questions about Andrey Kuznetsov
What company does Andrey Kuznetsov work for?
Andrey Kuznetsov works for Airi
What is Andrey Kuznetsov's role at the current company?
Andrey Kuznetsov's current role is PhD, Executive Director at Sber AI, @complete_ai channel in Telegram.
What schools did Andrey Kuznetsov attend?
Andrey Kuznetsov attended Samara State Aerospace University, Самарский Государственный Аэрокосмический Университет.
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