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

Assoc. Prof. Dr. Linchang Zhao, School of Computer Science, China

Dr. Linchang Zhao is an Associate Professor and graduate tutor at Guiyang University, China, specializing in machine learning, deep learning, few-shot learning, optimization algorithms, and meta-learning. He earned his Ph.D. in Computer Science from Chongqing University and holds an M.E. in Mathematics and Statistics from Qiannan Normal College for Nationalities, as well as a B.S. in Computer Science from Northeast Petroleum University. His research focuses on data mining, imbalanced learning, and developing novel learning models for small data scenarios. Dr. Zhao has authored numerous high-impact publications in top-tier journals and conferences, particularly in cost-sensitive meta-learning and software defect prediction. He has also contributed to several national and provincial research projects and holds patents related to small sample learning and software defect prediction. His expertise in artificial intelligence and deep learning continues to drive innovation in intelligent computing and data-driven decision-making.

Professional Profile:

Summary of Suitability for the Best Researcher Award

Linchang Zhao is a highly deserving candidate for the Best Researcher Award, given his significant contributions to machine learning, deep learning, few-shot learning, and optimization algorithms. His research has pushed the boundaries of artificial intelligence (AI) and computational intelligence, particularly in the areas of data mining, imbalanced learning, and meta-learning.

Achievements 🏆

Published numerous research papers in prestigious journals such as IEEE Transactions on Cybernetics, Future Generation Computer Systems, and Neurocomputing.

Contributed to multiple national and international research projects on deep learning, machine learning, and data mining.

Developed advanced models for software defect prediction, cost-sensitive learning, and imbalanced data classification.

Awards & Honors 🎖️

Patent Holder for innovative methods in software defect prediction and small-sample learning classifiers.

Principal Investigator of a National Natural Science Foundation of China project on Deep Learning (2018–2020).

Contributor to significant projects in military intelligence, education big data, and oil exploration risk assessment.

Recognized Researcher in Few-Shot Learning, Meta-Learning, and Optimization Algorithms.

Publication Top Notes: