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

Dr. Yongho Jeong, Konkuk University, South Korea

Dr. Yongho Jeong is a physicist specializing in experimental particle physics, high-energy physics, and AI-driven data analysis. He earned his Ph.D. in Physics from Sungkyunkwan University, Korea, in 2022 under the supervision of Prof. YongIl Choi, focusing on the search for R-parity violating supersymmetry in proton-proton collisions at √s = 13 TeV using the CMS detector. He completed his B.S. in Physics from Soonchunhyang University in 2013. Dr. Jeong has held multiple postdoctoral positions, including at the University of Seoul, where he worked on Gas Electron Multiplier (GEM) detector aging tests, and at the Korea Astronomy and Space Science Institute (KASI), where he contributed to quantum noise reduction for future gravitational wave detectors. He has also been involved in AI software development at Mustree Company and is set to join Konkuk University as a postdoctoral researcher in 2024, focusing on 3D point cloud data analysis. His extensive research experience includes collaborations with CERN on the GEM Detector Upgrade Project for the CMS experiment, where he worked on quality control, chamber assembly, and detector performance studies. His expertise spans detector development, high-energy physics simulations, data analysis for supersymmetry searches, and advanced AI applications in physics.

Professional Profile:

Summary of Suitability for Community Impact Award

Dr. Yongho Jeong is a highly deserving candidate for the Community Impact Award, given his significant contributions to experimental particle physics, AI-driven technological advancements, and quantum noise reduction for future scientific applications. His extensive research collaborations, contributions to international projects, and involvement in technology-driven community advancements make him a strong nominee for this award.

📚 Education

Ph.D. in Physics (2014.09 – 2022.02) – Sungkyunkwan University, Suwon, Korea

Supervisor: YongIl Choi
Thesis: Search for R-parity violating supersymmetry in pp collisions at √s = 13 TeV in the CMS detector

B.S. in Physics (2007.03 – 2013.02) – Soonchunhyang University, Asan, Korea

Thesis: The Age of the Universe

💼 Work Experience

Postdoctoral Researcher – KonKuk University (KU), Seoul, Korea (2024.09 – Present)

Integrated Analytical Models and Advanced Strategies for 3D Point Cloud Data Analysis

Postdoctoral Researcher – University of Seoul (UOS), Seoul, Korea (2023.11 – 2024.08)

Gas Electron Multiplier (GEM) Detector Aging Test
Production of GEM Detector Foil for the Rare Isotope Accelerator Complex (RAON) Laboratory

Technology Team – AI Software Development – Mustree Company, Seoul, Korea (2023.07 – 2023.10)

Developed AI Software for Size Measurement

Postdoctoral Researcher – Korea Astronomy and Space Science Institute (KASI), Daejeon, Korea (2022.05 – 2023.07)

Quantum Noise Reduction Technology for Future Gravitational Wave Detectors
Development of a 2 µm Laser Squeeze System

Ph.D. Researcher – High Energy Physics – Korea University, Seoul, Korea (2020.01 – 2022.04)

Data Analysis for Supersymmetric Particles
Search for R-parity Violating Supersymmetry in Proton-Proton Collisions at √s = 13 TeV

Ph.D. Researcher – GEM Detector Upgrade Project (Phase II) – CERN, Geneva, Switzerland (2018.01 – 2019.12)

Quality Control (QC) of GEM Chambers in the CMS Experiment
QC2: Leakage Current Test
QC3: Gas Leak Test
QC4: High Voltage Test
GEM Chamber Assembly, Aging Tests & Discharge Probability Studies

Ph.D. Researcher – Experimental Particle Physics – Sungkyunkwan University, Suwon, Korea (2017.06 – 2018.02)

Data Analysis for tt̄ Inclusive Decay
Measurement of the Inclusive Top Quark Cross Section in Di-lepton Channels at √s = 13 TeV

Ph.D. Researcher – Experimental Particle Physics – University of Seoul, Seoul, Korea (2016.01 – 2017.06)

CMS Detector Simulation for Phase II Upgrade
Muon Isolation Optimization Simulation

🎖️ Awards & Honors

🏅 Recognized Researcher in Particle Physics for contributions to Supersymmetry & CMS Experiments
🏅 Recipient of CERN Research Fellowships for GEM Detector Upgrade & Testing
🏅 Awarded Postdoctoral Research Positions in Multiple Leading Korean Institutions
🏅 Contributor to the CMS Collaboration at the European Organization for Nuclear Research (CERN)