Assoc. Prof. Dr. aynur mamat | Remote sensing | Women Researcher Award

Assoc. Prof. Dr. aynur mamat | Kashi Aerospace Information Research Institute | China

Aynur Mamat, Ph.D., is an Associate Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences 🚀, and the Kashgar Institute of Aerospace Information. With over a decade of expertise in remote sensing 📡 and sustainable development in arid regions 🌵, she has led and contributed to 10+ national and provincial projects. Aynur has published 20+ academic papers 📄, including 10+ first-author SCI papers, and is a proud member of the CAS Youth Innovation Promotion Association 🌟. Her innovative work has earned her multiple excellence awards 🏆 from the Chinese Academy of Sciences.

Professional Profile:

SCOPUS

Suitability for Women Researcher Award

Dr. Aynur Mamat exemplifies the qualities of an outstanding candidate for the Women Researcher Award. As an Associate Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences, and the Kashgar Institute of Aerospace Information, she has demonstrated exceptional leadership, innovation, and dedication in the field of remote sensing and sustainable development in arid regions. Her academic achievements, project leadership, and impactful research contributions showcase her as a role model for women in STEM.

Education and Experience 🎓💼

🎓 Ph.D. (Details not provided—please specify if needed)
👩‍💼 Associate Researcher
Aerospace Information Research Institute, CAS
👩‍💼 Associate Researcher
Kashgar Institute of Aerospace Information
🛰️ Over 10 years of experience in remote sensing monitoring and ecological research

Professional Development

🚀 Aynur Mamat has consistently advanced in her professional journey, blending scientific research with environmental applications 🌱. As an Associate Researcher at CAS, she has spearheaded projects focusing on remote sensing for ecological monitoring 📡 and sustainable development in arid regions 🌍. Her leadership in over 10 national and provincial projects reflects her strong research and project management skills 📊. As a graduate supervisor 👩‍🏫, she mentors future researchers, fostering scientific growth. A member of the CAS Youth Innovation Promotion Association 🌟, Aynur’s commitment to innovation has been recognized with multiple excellence awards 🏅.

Research Focus

🔬 Aynur Mamat’s research is rooted in remote sensing monitoring 📡 and sustainable development 🌿, with a focus on arid regions 🌵. She explores the ecological evolution of lake basins, oasis ecological security 🌊, and the dynamic mechanisms of human-nature systems 🏞️. Her work integrates GIS technologies 🗺️ to assess environmental suitability for human settlements, emphasizing climate change impacts 🌦️ and hydrological responses in mid-high latitude wetlands. Aynur’s interdisciplinary approach bridges environmental science 🌍, geographic information systems (GIS), and climate change research 🌡️ to promote ecological sustainability.

Awards and Honors 🏆

🏅 Excellence Awards from the Chinese Academy of Sciences
🌟 Member, CAS Youth Innovation Promotion Association

Publication Top Notes:

“Characterization of Spatial Distribution and Source Analysis of Heavy Metals in Surface Dust of Typical Oil Cities According to PMF Modeling” by A. Yisimayili, A. Mamat and M. Amat

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.

🔬 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.

🛰️ 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 :

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

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