Dr. Lixing Zhao | Intelligent Sensing Awards | Best Researcher AwardΒ
Dr. Lixing Zhao, Hangzhou Institute of Advanced Study, UCAS, China
Professional Profile:
Suitability for the Best Researcher Award
Lixing Zhao demonstrates exceptional qualifications for the Best Researcher Award based on his academic achievements, publications, research experience, and contributions to his field. Here’s an analysis of his suitability.
π Education
- Ph.D. Student (2021βPresent)
Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China
π°οΈ Focus: Geometric positioning and measurement of optical remote sensing payloads, remote sensing image processing. - Bachelor of Engineering (2017β2021)
Nanjing University of Science and Technology, Nanjing, China
π€ Major: Intelligent Science and Technology
π€ Conferences
- π
Outstanding Ph.D. Presentation
The 4th Future Space Science and Technology Conference, 2024, Hangzhou, China - πΌοΈ Outstanding Poster
The 5th National Symposium on Space Earth Science, 2023, Suzhou, China - π Outstanding Student Presentation
The 2nd Academic Seminar of the School of Optoelectronics, HIAS
π Honors and Awards
- ποΈ Outstanding Student and Excellent Student Cadre, First-Class Academic Scholarship, HIAS, 2024
- π Outstanding Communist Youth League Member, Second-Class Scholarship, HIAS, 2023
- π Outstanding Communist Youth League Cadre, Second-Class Scholarship, HIAS, 2022
- π Special First-Class Scholarship, Nanjing University of Science and Technology, 2018
π¬ Research Experiences
- π CASEarth Small Satellite Thermal Imager (June 2018 β Present)
Chinese Academy of Sciences, CAS Pioneer Project A- Focus: High-precision geometric calibration for thermal imager systems, laboratory and on-orbit imaging simulation technologies.
- π‘ Key Issues in Geometric Positioning of Low Earth Orbit Payloads (Jan 2023 β Dec 2025)
National Natural Science Foundation of China, Youth Fund Project- Focus: Ground control point extraction from on-orbit infrared images, large-scale feature extraction methods.
Publication Top Notes: