Mr. Nikita Belyakov | Remote Sensing Imagery Analysis Award | Best Researcher Award

Mr. Nikita Belyakov, Moscow State University, Russia

Mr. Nikita Belyakov is a 6th-year student at Lomonosov Moscow State University, specializing in AI applications in satellite data analysis and remote sensing. 🛰️ His research focuses on deep learning and AI applications in spacecraft trajectory modeling and orbit parameter estimation, with expertise in cloud and snow segmentation using AI methods. He has contributed to projects improving spacecraft state vector estimation and developing autonomous systems for barcode detection, alongside involvement in space debris monitoring at MSU’s ballistic center. 📡 Published in journals like Advances in Space Research, his work showcases a blend of innovation in AI and space science.

Professional Profile:

Orcid

🎓 Education:

Mr. Nikita Belyakov is a 6th-year student at the Faculty of Space Research at Lomonosov Moscow State University (MSU), Russia, specializing in AI applications in satellite data analysis and remote sensing.

🔬 Research Focus:

His scientific activities revolve around deep learning and AI applications in remote sensing, spacecraft trajectory modeling, and orbit parameter estimation. He has been actively involved in developing software for spacecraft maneuver control and space debris monitoring at the ballistic center of MSU.

🌌 Specialization:

Mr. Belyakov’s expertise lies in cloud and snow segmentation problems in remote sensing imagery using AI methods. He has contributed to research published in reputable journals like Advances in Space Research.

🛰️ Projects:

He has also worked on improving the accuracy of spacecraft state vector estimation using TLE data from the International Laser Ranging System (ILRS), applying machine learning and AI techniques. Additionally, Mr. Belyakov has experience in natural language processing (NLP) tasks and developing autonomous systems for barcode detection using neural networks.

Publications Top Notes :

1. Cloud and Snow Neural Network Segmentation using the Electro-L No. 2 satellite low-resolution data
   • Published in Advances in Space Research in 2024.
   • Contributors: Nikita V. Belyakov; Sergey V. Kolpinskiy; Artem V. Vasiliev
2. Determining binocular lenses orientation using inertial sensors: problem solution
   • Published in Engineering Journal: Science and Innovation in 2022.
   • Contributors: V.V. Latonov; N.V. Belyakov; A.A. Petrov; T.A. Semenikhin