Prof. Fengyun Cao | Computer Vision Awards | Excellence in Research Award

Prof. Fengyun Cao, Hefei Normal University, China

Dr. Cao Fengyun is an Associate Professor and Master’s Supervisor at the School of Computer and Artificial Intelligence, Hefei Normal University, where she also serves as Director of the Department of Computer Science and Technology. Her primary research interests include digital image processing, computer vision, and artificial intelligence. Dr. Cao is a member of the Image Application and System Integration Committee of the Chinese Image and Graphics Society and serves on the young editorial board of the international journal INSTRUMENTATION. She is also a reviewer for numerous prestigious journals such as IEEE/CAA Journal of Automatica Sinica, Scientific Reports, and The Journal of Supercomputing. She currently holds the position of Vice President of Science and Technology at the Medical Artificial Intelligence Technology R&D Center, Hefei Innovation Institute. Over the years, she has led various funded research projects, including those focused on depth estimation, remote sensing, and smart control systems. Dr. Cao has authored several high-impact papers and holds 10 authorized invention patents, along with multiple software copyrights and integrated circuit layout designs. Her work has earned her accolades including the “Research Star” award and third prize in the Anhui Province Science and Technology Awards. She has also contributed to the development of local standards in smart systems and information monitoring.

Professional Profile:

SCOPUS

Summary of Suitability:

Dr. Cao Fengyun, an Associate Professor and Director of the Department of Computer Science and Technology at the School of Computer and Artificial Intelligence, Hefei Normal University, is a highly accomplished researcher with a proven track record in digital image processing, computer vision, and artificial intelligence. His outstanding contributions to both theoretical advancements and practical innovations make him an excellent candidate for the Excellence in Research Award.

🎓 Education & Work Experience

👨‍🏫 Teaching Assistant
School of Computer Science, Hefei Normal University
📅 June 2013 – November 2017
👨‍🏫 Lecturer
School of Computer Science, Hefei Normal University
📅 December 2017 – December 2022
👩‍🏫 Associate Professor
School of Computer and Artificial Intelligence, Hefei Normal University
📅 January 2023 – Present
🧠 Vice President of Science and Technology
Medical AI Technology R&D Center, Hefei Innovation Institute
📅 November 2024 – Present

🏆 Achievements

📚 Research Areas:
Digital Image Processing, Computer Vision, Artificial Intelligence
🧪 Research Projects (Host):
- 🔍 Magnetic Tile Surface Defect Detection (2024–2025)
- 🤖 Monocular Image Depth Estimation using Deep CNN (2019–2020)
- 🖼 Single Image Depth Restoration via Low-level Features
- 🌩 Cloud Tech for Remote Sensing Image Thinning (2018–2019)
- 🔧 Smart Fire Protection Water Supply System (2025)
- 📡 High Performance Frequency Hopping Filter Development
- ⚡ Intelligent Control System for Power Distribution Cabinet (2021)
- 🔋 Smart-LW Charging Operation and Maintenance System
- 🧠 Graph Neural Network Intelligent Computing System (Ranked 3rd)
- 🌐 IoT Equipment Remote Upgrade System (2021)
📄 Representative Papers:
- ⚙ Electric Bike Testing Dataset – Alexandria Engineering Journal (2024, SCI Zone II TOP)
- 🎯 YOLOv7-based Anti-target Detection – Traitement du Signal (2023, SCI)
- 🧩 PCB Defect Recognition via Bi-directional Feature Extraction – Journal of Wuhan University of Technology
- 🖌 Edge Blur Estimation for Depth Restoration – Journal of Computers
- 🧠 Image Segmentation and Depth Recovery – Journal of Chinese Image and Graphics
💡 Intellectual Property:
- 🔬 Invention Patents: 10 (Ranked 1st to 8th) – covering intelligent factories, robotic arms, IoT, and image processing
- 💻 Software Copyrights: 3 (First author)
- 🧿 Integrated Circuit Layout Designs: 2 (One authored by him)

🥇 Awards & Honors

🌟 HefeiNormal University Research Star, 2022
🥉 Third Prize – Natural Science Award (Host), Hefei Normal University, 202X
🥉 Third Prize – Anhui Province Science and Technology Award (Ranked 4th), 2021
🏅 Excellence in Science & Technology Progress, Anhui Provincial Computer Society (1st Rank), 2021

Publication Top Notes:

Optimization of the Pure Pursuit algorithm based on real-time error

Prof. Yankun Peng, China Agricultural University, China

Dr. Peng is a distinguished researcher and professor in the field of Agricultural Engineering with a focus on intelligent detection systems and automated devices for evaluating agricultural product quality and safety. He holds a Ph.D. in Biological and Agricultural Engineering from Tokyo University of Agriculture and Technology, Japan, and has extensive academic and professional experience in both China and the United States. Since 2007, Dr. Peng has served as a Professor and PhD supervisor at the College of Engineering, China Agricultural University (CAU), where he also holds key leadership roles including Director of the National R&D Center for Agro-Processing Technology and Equipment and the National Technical Center for Nondestructive Evaluation, Identification, Instrument, and Equipment of Famous Agro-foods.

Summary of Suitability for Best Researcher Award

Dr. Peng has authored 293 peer-reviewed journal articles and 257 conference proceedings, showcasing his prolific research output.He holds 107 patents (including a US patent), with 22 patents industrialized, reflecting his significant contributions to applied science and technology. Additionally, he has developed 18 series of equipment for agro-food quality inspection and grading. Dr. Peng has established 14 standards and authored 4 books and 17 book chapters, demonstrating his leadership in setting benchmarks and contributing to scientific literature.

Education

Ph.D. in Biological and Agricultural Engineering
Tokyo University of Agriculture and Technology, Tokyo, Japan
Apr. 1993 – Mar. 1996
Major: Agricultural Engineering, Specialty in Biological Production Science
Dissertation Title: Active Noise Control on Agricultural/Biological Production Machinery

Developed and designed a new type of Active Noise Control (ANC) system/equipment.
Proposed a Recurrent Least Squares (RLS) algorithm for noise reduction.
Conducted computer simulations of noise reduction effects using C/C++ programming language.
Constructed an Adaptive Digital Filter (ADF) system with digital signal processors (DSP) and C/C++ programming.
Evaluated the control system on actual machinery and simplified the control algorithm using matrix theory.

M.S. in Engineering in Agricultural Electrification & Automation
Graduate School of Northeast Agricultural University, Harbin, China
Sep. 1985 – Dec. 1988
Major: Agricultural Electrification & Automation
Thesis Title: A Microcomputer Control System for Livestock Granulated Feed Processing

Developed a PID feedback control system using a microcomputer.
Proposed a new control method for the rotation speed of a servomechanism.
Designed a controller using a microcomputer and assembly programming language.
Invented a grain flow sensor and applied the control system to livestock feed production.
Proposed a method for judging the stability of linear time-invariant systems.

Professional Experience

Professor and Ph.D. Supervisor
Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU)
Beijing, China
Mar. 2007 – Present

Research in nondestructive measurement and instrumentation for agricultural product quality and safety.
Development of hyperspectral/multispectral and Raman spectral imaging methods for meat microbial contamination detection.
Development of rapid real-time inspection/detection systems and NIR optical instruments for agricultural product contaminants.
Teaching courses on nondestructive measurement technology and hyperspectral imaging techniques for agro-food quality attributes.
Supervised over 60 graduate students in agricultural engineering research.

Director, National R&D Center for Agro-Processing Technology and Equipment
Ministry of Agriculture and Rural Affairs, China
Nov. 2009 – Present

Oversight of national research and development projects related to agro-processing technology and equipment.

Director, National Technical Center for Nondestructive Evaluation, Identification, Instrument and Equipment of Famous, Special, Excellent and New Agro-foods
Ministry of Agriculture and Rural Affairs, China
Dec. 2019 – Present

Leadership in the development and evaluation of nondestructive techniques and equipment for agro-food quality assessment.

Publication top Notes:

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

Tailored Au@Ag NPs for rapid ractopamine detection in pork: Optimizing size for enhanced SERS signals

Optimization of Online Soluble Solids Content Detection Models for Apple Whole Fruit with Different Mode Spectra Combined with Spectral Correction and Model Fusion