Dmitry
Yudin
Head of the Laboratory of Intelligent Transport
Candidate of Technical Sciences, Senior Researcher
Email: yudin.da@mipt.ru
Scientific interests:
Technical vision
Artificial Intelligence
Deep learning
Robotics
Recent publications

1. Staroverov, A., Yudin, D. A., Belkin, I., Adeshkin, V., Solomentsev, Y. K., & Panov, A. (2020). Real-Time Object Navigation With Deep Neural Networks and Hierarchical Reinforcement Learning. IEEE Access, 8, 195608-195621. URL
2. Rezanov, A., & Yudin, D. (2020, October). Deep Neural Networks for Ortophoto-Based
Vehicle Localization. In International Conference on Neuroinformatics (pp. 167-174). URL
3. Yudin, D. A., Adeshkin, V., Dolzhenko, A. V., Polyakov, A., & Naumov, A. E. (2020,
October). Roof Defect Segmentation on Aerial Images Using Neural Networks. In International Conference on Neuroinformatics (pp. 175-183). URL
4. Yudin D. A., Skrynnik A., Krishtopik A., Belkin I., and Panov A. I. Object Detection
with Deep Neural Networks for Reinforcement Learning in the Task of Autonomous
Vehicles Path Planning at the Intersection. Optical Memory & Neural Networks
(Information Optics), Vol. 28 No 4, 2019. URL
5. Belkin I., Tkachenko S., Yudin D. Traffic Sign Recognition on Video Sequence Using
Deep Neural Networks and Matching Algorithm. IC-AIAI-2019, 2019. URL
6. Yudin D., Sotnikov A., Krishtopik A. Detection of Big Animals on Images with Road
Scenes using Deep Learning. IC-AIAI-2019, 2019. URL
7. Yudin, D., Ivanov, A., Shchendrygin, M. Detection of a human head on a low-quality
image and its software implementation. ISPRS Archives 42(2/W12), pp. 237-241. 2019. URL
8. Yudin D.A., Dolzhenko A.V., Kapustina E.O. The Usage of Grayscale or Color Images
for Facial Expression Recognition with Deep Neural Networks. Studies in Computational
Intelligence 856, pp. 271-281. URL
9. Ivanov A., Yudin D. Visibility Loss Detection for Video Camera using Deep
Convolutional Neural Networks // Proceedings of the Third International Scientific
Conference "Intelligent Information Technologies for Industry" (IITI'18). Vol. 1.
Springer. Advances in Intelligent Systems and Computing, 874, pp. 434-443 2018. URL
10. Yudin D. Recognition of road scene elements using deep neural networks: Monograph /
LAP LAMBERT Academic Publishing, 2018. 97 p. ISBN 978-613-9-88686-9. URL
11. Yudin D., Kapustina E. Deep Learning in Vehicle Pose Recognition on Two-
Dimensional Images// Proceedings of the Third International Scientific Conference
"Intelligent Information Technologies for Industry" (IITI'18). Vol. 2. Springer. Advances
in Intelligent Systems and Computing, 875, pp. 126-137 2018. URL
12. Yudin, D., Slavioglo, D. Usage of fully convolutional network with clustering for traffic
light detection. 2018 7th Mediterranean Conference on Embedded Computing, MECO
2018 - Including ECYPS 2018, Proceedings.
Pp. 1-6, 2018. URL
13. Yudin D., Zeno B. Event Recognition on Images by Fine-Tuning of Deep Neural
Networks // Proceedings of the Second International Scientific Conference "Intelligent
Information Technologies for Industry" (IITI'17), Advances in Intelligent Systems and
Computing 679, 2018. P. 479-487. URL
14. Yudin D., Knysh A. Vehicle recognition and its trajectory registration on the image
sequence using deep convolutional neural network // The International Conference on
Information and Digital Technologies, 2017, P. 435-441. URL
15. Bazhanov, D. Yudin, V. Porkhalo, E. Karikov. Control system of robotic complex for
constructions and buildings printing //The International Conference on Information and
Digital Technologies (IDT), 2016, pp. 23–31.
URL
Education
2015-2017 Master's Degree in Mechatronics and Robotics (Diploma with Honors), Belgorod State Technological University named after V.G. Shukhov (BSTU named after V.G.Shukhov), Belgorod. Thesis topic: "Development of a system of assistance to a mobile robot operator based on technical vision", scientific supervisor - E.M. Paraschuk

2010-2014 Candidate of Technical Sciences, specialty 05.13.06 "Automation and control of technological processes and production", BSTU named after V.G. Shukhova, Belgorod. Thesis topic: "Automated control system of rotary kilns with the use of technical vision", supervisor - Doctor of Technical Sciences, Professor V.Z. Magergut

2008-2010 Translator in the field of professional communication (English), BSTU named after V.G. Shukhova, Belgorod

2005-2010 Engineer with a degree in Automation of Technological Processes and Production (diploma with honors), BSTU named after V.G. Shukhova, Belgorod
Awards and achievements
2019 Winner of the Vladimir Grigorievich Shukhov Prize in the nomination "Innovations in the field of information technology" of the Government
Belgorod region for the project on "Vision systems based on deep convolutional neural networks"
2011-2019 Chairman of the Council of Young Scientists and Specialists of the Belgorod Region under the Governor of the Belgorod Region
2017 Received the Young Scientist Paper Award of the IEEE Czechoslovakia Section for the report "Vehicle recognition and its trajectory registration on the image sequence using deep convolutional neural network" presented at
International Conference on Informational and Digital Technologies 2017, Zilina, Slovakia
2016 Winner of the competition for the right to receive in 2017-2018. grants of the President of the Russian Federation for state support of young Russian scientists (Topic "Recognition of the traffic situation in images using deep learning"),
2014 Winner of the final competition of the program "UMNIK to START" of the Foundation for Assistance to the Development of Small Forms of Enterprises in the Scientific and Technical Sphere and received a grant for the implementation of the project "Distributed vision system for monitoring industrial and transport processes"
2010 Victory in the competition "UMNIK" of the Foundation for Assistance to the Development of Small forms of enterprises in the scientific and technical field and the performer of R&D on the topic "Development of an information system for monitoring and ensuring operational control of rotary kilns using technical vision devices"
Professional experience
2019-present Head of the Intelligent Transport Laboratory, Center
cognitive modeling, Moscow Institute of Physics and Technology
2019-present Associate Professor of the Department of Systems Research, Moscow Physics
technical institute
2019-present Senior Researcher, Moscow Physics and Technology
institute
2014-present Director of LLC "Recognition Systems", Belgorod.
2017-2019 Associate Professor of the Department of Technical Cybernetics, Belgorodsky
State Technological University named after V.G. Shukhov (BSTU named after V.G.
Shukhov)
2015-2017 Senior Lecturer, Department of Technical Cybernetics, BSTU named after V.G. Shukhova
2014-2015 Assistant of the Department of Technical Cybernetics, BSTU named after V.G. Shukhova
2009-2014 Engineer, Department of Technical Cybernetics, BSTU named after V.G. Shukhova