Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award 

Prof. Zuofeng Zhou, Xi’an Institute of Optics and Precision Mechanics of CAS, China

Dr. Zuofeng Zhou is a Professor at the Xi’an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, and the Chief Engineer of XIOPM Holdings Co., Ltd. He is recognized as an Outstanding Young Scholar in Shaanxi Province, China. His research interests span image denoising, computer vision, machine learning, hyperspectral remote sensing image processing, and scientific and technological achievements industrialization. Over the past decade, he has published more than 80 research papers in esteemed journals and conferences and holds 14 technology and product patents. Dr. Zhou is an IEEE Member and serves as a reviewer for multiple international journals, including IEEE Transactions on Image Processing and Neurocomputing. He is actively involved in the industrialization of scientific and technological innovations, leading efforts in technology commercialization, startup incubation, and investment in high-tech enterprises, particularly in optoelectronics and military-civilian integration.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Zuofeng Zhou is a highly accomplished researcher with extensive contributions in the fields of image processing, computer vision, and machine learning. His expertise spans both theoretical research and practical industrial applications, particularly in hyper-spectral remote sensing image processing and image/video analysis.

🎓 Education

  • Ph.D. in a relevant field (Details not specified)

💼 Work Experience

  • Full Professor – XIOPM, Chinese Academy of Sciences
  • Chief Engineer – XIOPM Holdings Co., LTD
  • Referee – Reviewer for top journals including:
    • IEEE Transactions on Image Processing
    • Neurocomputing (Elsevier)
    • IET Image Processing
    • Signal Processing (Elsevier)
    • Conferences: CVPR, ICIP, ECCV

🏆 Achievements & Contributions

  • 📜 Research Contributions:
    • Published 80+ research papers in renowned journals and conferences (e.g., Signal Processing, ICIP, IET Image Processing)
    • Authored book chapter in Wavelet Transform and Some of Its Real-World Applications (ISBN: 978-953-51-2230-2)
  • 🔬 Research Interests:
    • Image denoising & computer vision
    • Machine learning & hyperspectral remote sensing
    • Image/video analysis
    • Industrialization of scientific and technological achievements
  • 📌 Patents:
    • Obtained 14 technology and product patent authorizations
  • 🚀 Industrialization Initiatives:
    • Led the commercialization of S&T achievements at XIOPM
    • Established 280+ hi-tech enterprises
    • Created 7,000+ jobs
    • Developed industry clusters in laser equipment, optoelectronic integrated circuits, and healthcare
  • 💰 Investment & Entrepreneurship:
    • Co-founded CAS Star Incubator Co., Ltd.
    • Managed funds totaling ~5 billion CNY
    • Invested in 150+ projects, attracting over 630 million CNY in social investment

🏅 Awards & Honors

  • 🌟 Outstanding Young Scholar – Shaanxi Province, China
  • 🎖 IEEE Member
  • 🏆 Recognitions:
    • “CAS Pilot Unit for S&T Achievement Transformation”
    • “Shaanxi Pilot Unit for Building an Innovative Province”
    • “State-level S&T Enterprise Incubator”

Publication Top Notes:

Satellite Pose Measurement Using an Improving SIFT Algorithm

ViBe algorithm based on background fusion and channel calculation

The Application of a Pavement Distress Detection Method Based on FS-Net

Image Enhancement Technology in Pavement Disease Detection System

High-Precision Volume Measurement of Potholes in Pavement Maintenance

 

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