Dr. Lixing Zhao | Intelligent Sensing Awards | Best Researcher Award

Dr. Lixing Zhao | Intelligent Sensing Awards | Best Researcher Award 

Dr. Lixing Zhao, Hangzhou Institute of Advanced Study, UCAS, China

Lixing Zhao is a Ph.D. student at the Hangzhou Institute of Advanced Study, University of Chinese Academy of Sciences (UCAS), specializing in the geometric positioning and measurement of optical remote sensing payloads and remote sensing image processing. He earned his Bachelor of Engineering degree in Intelligent Science and Technology from Nanjing University of Science and Technology in 2021. Lixing has made significant contributions to remote sensing and optical imaging, as evidenced by his multiple high-impact publications in journals such as Remote Sensing, Sensors, and IEEE Transactions on Geoscience and Remote Sensing. His research includes advanced methods for geometric calibration and ground control point extraction in thermal infrared remote sensing. He has presented his work at prestigious conferences, earning accolades like the Outstanding Ph.D. Presentation at the Future Space Science and Technology Conference (2024) and the Outstanding Poster Award at the National Symposium on Space Earth Science (2023). Among his honors are the First-Class Academic Scholarship from HIAS (2024) and numerous university-level awards for academic excellence and leadership. He has actively participated in major research projects, including the CAS Pioneer Project A and a National Natural Science Foundation of China Youth Fund Project, where he contributed to developing innovative imaging and calibration techniques for thermal infrared sensors.

Professional Profile:

ORCID

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.

🎓 Education

  • Ph.D. Student (2021–Present)
    Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China
    🛰️ Focus: Geometric positioning and measurement of optical remote sensing payloads, remote sensing image processing.
  • Bachelor of Engineering (2017–2021)
    Nanjing University of Science and Technology, Nanjing, China
    🤖 Major: Intelligent Science and Technology

🎤 Conferences

  • 🏅 Outstanding Ph.D. Presentation
    The 4th Future Space Science and Technology Conference, 2024, Hangzhou, China
  • 🖼️ Outstanding Poster
    The 5th National Symposium on Space Earth Science, 2023, Suzhou, China
  • 🌟 Outstanding Student Presentation
    The 2nd Academic Seminar of the School of Optoelectronics, HIAS

🏆 Honors and Awards

  • 🎖️ Outstanding Student and Excellent Student Cadre, First-Class Academic Scholarship, HIAS, 2024
  • 🏅 Outstanding Communist Youth League Member, Second-Class Scholarship, HIAS, 2023
  • 🌟 Outstanding Communist Youth League Cadre, Second-Class Scholarship, HIAS, 2022
  • 🎓 Special First-Class Scholarship, Nanjing University of Science and Technology, 2018

🔬 Research Experiences

  • 🌍 CASEarth Small Satellite Thermal Imager (June 2018 – 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.
  • 📡 Key Issues in Geometric Positioning of Low Earth Orbit Payloads (Jan 2023 – 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:

A Denoising Network Based on Frequency-Spectral- Spatial-Feature for Hyperspectral Image

In-Orbit Geometric Calibration for Long-Linear-Array and Wide-Swath Whisk-Broom TIS of SDGSAT-1

A CNN-Based Layer-Adaptive GCPs Extraction Method for TIR Remote Sensing Images

Thermal Discharge Temperature Retrieval and Monitoring of NPPs Based on SDGSAT-1 Images

Development and Core Technologies for Intelligent SWaP3 Infrared Cameras: A Comprehensive Review and Analysis

 

Prof. Dr. Zhongjie Guo | Photo Detector Awards | Best Researcher Award

Prof. Dr. Zhongjie Guo | Photo Detector Awards | Best Researcher Award

Prof. Dr. Zhongjie Guo, Xi’an University of Technology, China

Zhongjie Guo received his B.S. and M.S. degrees in Measurement and Control Technology and Instrumentation, and Circuit and System from Xidian University, China, in 2004 and 2007, respectively. He earned his Ph.D. degree in Microelectronics Engineering from Xi’an Microelectronic Technology Institute, China, in 2012. Currently, he is a professor at Xi’an Technological University, where his research focuses on the design of high-performance mixed-signal integrated circuits. With a strong academic background and expertise in microelectronics, Dr. Guo has contributed significantly to the field, advancing the development of integrated circuit technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Zhongjie Guo

Zhongjie Guo’s extensive academic background and ongoing contributions to the field of microelectronics make him a strong candidate for the Best Researcher Award. He earned his B.S. and M.S. degrees in measurement and control technology and instrumentation, and circuit and system from Xidian University in China, followed by a Ph.D. in microelectronics engineering from Xi’an Microelectronic Technology Institute in 2012. Currently, he serves as a professor at Xi’an Technological University, where his primary focus is the design of high-performance mixed-signal integrated circuits.

Education:

  • B.S. in Measurement and Control Technology and Instrumentation, Xidian University, China (2004)
  • M.S. in Circuit and System, Xidian University, China (2007)
  • Ph.D. in Microelectronics Engineering, Xi’an Microelectronic Technology Institute, China (2012)

Work Experience:

  • Current Position: Professor at Xi’an Technological University
    • Specializes in the design of high-performance mixed signal integrated circuits.

Publication top Notes:

Global Ramp Uniformity Correction Method for Super-large Array CMOS Image Sensors

Research on Fixed-Slope On-Chip Soft-Start Method Applied to Buck DC–DC Converter

Study on consistency driving method of stitching pixel array based on self-adaptive correction technique

Synchronous Driving Method for Stitching Pixel Arrays Based on an Adaptive Correction Technique

Column Level ADC Design Method of CMOS Image Sensor Based on Coarse and Fine Quantization Parallel and TDC Hybrid