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

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 DatasetAlexandria Engineering Journal (2024, SCI Zone II TOP)

    • 🎯 YOLOv7-based Anti-target DetectionTraitement du Signal (2023, SCI)

    • 🧩 PCB Defect Recognition via Bi-directional Feature ExtractionJournal of Wuhan University of Technology

    • 🖌 Edge Blur Estimation for Depth RestorationJournal of Computers

    • 🧠 Image Segmentation and Depth RecoveryJournal 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. Raziyeh Pourdarbani | Computer Vision Awards | Best Researcher Award

Prof. Raziyeh Pourdarbani | Computer Vision Awards | Best Researcher Award 

Prof. Raziyeh Pourdarbani, University of Mohaghegh Ardabili, Iran

Dr. Razieh Pourdarbani is a professor in the Department of Biosystems Engineering at the Faculty of Agricultural and Natural Resources, University of Mohaghegh Ardabili, Ardabili, Iran. She holds a Ph.D. in Agricultural Mechanization Engineering from the University of Tabriz (2012), where her dissertation focused on sorting date fruits based on maturity stages using image processing. She also earned her M.Sc. (2009) and B.Sc. (2005) degrees in Agricultural Mechanization and Machinery Engineering, respectively, from the same university. Dr. Pourdarbani’s research specializes in precision agriculture, image processing, artificial intelligence, and machine vision. Her contributions to these fields aim to advance agricultural technologies and systems for improved efficiency and sustainability.

Professional Profile:

GOOGLE SCHOLAR

Suitability for the Research for Best Researcher Award

Razieh Pourdarbani, born on December 9, 1982, is a professor at the Department of Biosystems Engineering, University of Mohaghegh Ardabili, Iran. With a Ph.D. in Agricultural Mechanization Engineering from the University of Tabriz (2012), her dissertation on date fruit sorting using image processing laid the foundation for her expertise in precision agriculture and automation.

🎓 Education

  • Ph.D. in Agricultural Mechanization Engineering
    • Institution: University of Tabriz
    • Year: 2012
    • Dissertation: Sorting of Date Fruit Based on Maturity Stages Using Image Processing
  • M.Sc. in Agricultural Mechanization Engineering
    • Institution: University of Tabriz
    • Year: 2009
    • Thesis: Investigation on Apple Sorting Using Image Processing
  • B.Sc. in Agricultural Machinery Engineering
    • Institution: University of Tabriz
    • Year: 2005

🏢 Work Experience

  • Professor, Department of Biosystems Engineering
    • Institution: Faculty of Agricultural and Natural Resources, University of Mohaghegh Ardabili
    • Role: Specializing in Precision Agriculture, Machine Vision, Image Processing, and Artificial Intelligence.

🏆 Achievements and Honors

  • 🎖 Recognized Expert in Precision Agriculture and Image Processing.
  • 🏅 Pioneer in integrating Artificial Intelligence and Machine Vision in agricultural mechanization.
  • 📚 Published numerous influential papers in the field of agricultural engineering and biosystems.
  • 🌟 Mentored students and researchers in advanced biosystems engineering applications.

Publication Top Notes:

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