Assoc. Prof. Dr. Hao Zhou | Digital Image Processing | Best Researcher Award

Hao Zhou | Digital Image Processing | Best Researcher Award

Hao Zhou, Yunnnan University, China

Dr. Hao Zhou is an Associate Professor at Yunnan University with a Ph.D. in Communication and Information Systems. With a robust background in optical engineering and postdoctoral research at Nanjing University of Science and Technology, he specializes in digital image processing, computer vision, and intelligent video surveillance. Dr. Zhou has led multiple national and provincial research projects, contributing significantly to the field through numerous publications. He is passionate about mentoring students and is currently seeking opportunities as a visiting scholar to further his collaborative research endeavors.

Professional profile :

scopus

Suitability for Best Researcher Award :

Dr. Hao Zhou has demonstrated sustained excellence in research, with a specialized focus in digital image processing, computer vision, and intelligent video surveillance—fields that are both cutting-edge and socially impactful. His academic journey, spanning a Ph.D. in Communication and Information Systems and postdoctoral work in optical engineering, showcases a deep technical foundation. His current role as an Associate Professor at Yunnan University underlines his commitment to research and education.

Education & Experience :

  • 🎓 Ph.D. in Engineering (Communication and Information Systems)
    Yunnan University, Kunming, China (2006–2011)
    Dissertation: “Research on video object detecting and tracking algorithm under complex scene.”

  • 🎓 Master’s in Engineering (Communication and Information Systems)
    Yunnan University, Kunming, China (1999–2002)
    Dissertation: “Blood cell image automatic analysis.”

  • 🎓 Bachelor of Engineering (Electrical Engineering)
    Shanghai Jiao Tong University, Shanghai, China (1990–1994)

  • 🧑‍🏫 Associate Professor & Master’s Advisor
    Yunnan University

  • 🔬 Postdoctoral Researcher in Optical Engineering
    Nanjing University of Science and Technology & China North Industries Group (2013–2016)

Professional Development :

Dr. Zhou’s career is marked by a commitment to advancing the fields of digital image processing and intelligent video surveillance. His postdoctoral research in optical engineering laid the foundation for his subsequent projects, which often intersect with cutting-edge technologies like compressive sensing and particle filter tracking. As a participant in Yunnan University’s Youth Backbone Teacher Cultivation program, he has demonstrated leadership in both research and education. His role as a master’s advisor has allowed him to mentor the next generation of engineers, fostering a collaborative and innovative academic environment.

Research Focus :

Dr. Zhou’s research primarily revolves around digital image processing, computer vision, and intelligent video surveillance. He has a keen interest in developing algorithms for object detection and tracking in complex scenes, often employing techniques like particle filters, compressive sensing, and adaptive Gaussian models. His work aims to enhance the accuracy and efficiency of surveillance systems, making significant contributions to both theoretical frameworks and practical applications in the field.

Awards & Honors :

  • 🏅 Participant, Youth Backbone Teacher Cultivation Program
    Yunnan University (2013–2016)

  • 🏅 Principal Investigator
    National Natural Science Foundation of China Project: “Key technology research of intelligent video surveillance in compulsory rehabilitation center based on behavior model analysis.”

  • 🏅 Principal Investigator
    Yunnan Provincial Department of Education Key Program: “Key technology research of target tracking under distributed cameras.”

Publication Top Notes : 

Title: Detection of Cotter Pin Defects in Transmission Lines Based on Improved YOLOv8

Citation:
P. Wang, G. Yuan, Z. Zhang, Y. Ma, H. Zhou
Electronics (Switzerland), 2025

Conclusion :

Dr. Hao Zhou’s research excellence, leadership in funded projects, commitment to mentoring, and contributions to high-impact areas like intelligent surveillance and computer vision make him a highly deserving nominee for the Best Researcher Award. His achievements reflect both depth and breadth in research, positioning him as a key contributor to the advancement of his field.

Yi Huangfu | Image Processing | Best Researcher Award

Yi Huangfu | Image Processing | Best Researcher Award

Mr. Yi Huangfu,Yunnan Agricultural University, China.

Yi Huangfu, a postgraduate student at Yunnan Agricultural University 🎓, specializes in Smart Agriculture 🌾, focusing on Point Cloud and Image Processing, and End-to-End Object Detection and Perception 📸🤖. With a strong foundation in Computer Science from Inner Mongolia University of Science and Technology 💻, he has published impactful research on panoramic image stitching and disease detection in crops 🌽🍊. Yi has also developed an APP for Huanglongbing disease detection 📱 and holds an invention patent. Skilled in programming languages, machine learning, and Linux systems, he is passionate about advancing agricultural technology through innovation.

Publication Profile

Orcid

Education and Experience

  • 🎓 2022-2025: Master in Mechanical Design and Manufacturing, Yunnan Agricultural University
  • 🎓 2017-2021: Undergraduate in Computer Science and Technology, Inner Mongolia University of Science and Technology
  • 💻 Research: Published two papers as the first author on agricultural image processing and disease detection.
  • 🛠️ Patent: Developed a Huanglongbing detection app, earning a patent and software copyright.

Suitability for the Award

Mr. Yi Huangfu stands as an exemplary candidate for the Best Researcher Award, combining academic excellence with impactful contributions to Smart Agriculture. As a first author of groundbreaking research on crop disease detection and panoramic image processing, Yi has advanced precision farming practices. His patented innovations, including an app for Huanglongbing detection, highlight his practical expertise. Proficient in deep learning and programming, with accolades in national competitions, Yi embodies innovation and dedication in agricultural research.

Professional Development

Yi Huangfu demonstrates proficiency in deep learning, machine learning, and image processing technologies 🤖. His expertise spans Linux system programming, Java, C/C++, PHP, Python, OpenCV, and web scraping 💻. His research bridges technology and agriculture, addressing challenges in crop disease detection 🌾 using innovative solutions like the HHS-RT-DETR model and VCHS-YOLO 🌶️. Yi’s academic and technical pursuits are complemented by his strong ability to interpret English literature 📚, enabling him to stay abreast of global advancements. His contributions aim to enhance agricultural precision and productivity through cutting-edge applications 📈.

Research Focus

Yi’s research focuses on advancing Smart Agriculture 🌾 by integrating modern technologies like Point Cloud and Image Processing 📸 and Deep Learning models 🤖. His notable projects include disease detection systems for crops such as citrus and chili 🌶️🍊 and methods for image stitching in corn ear analysis 🌽. Yi’s work emphasizes creating scalable, end-to-end detection and perception systems for improving crop management efficiency 🚜. His dedication to applying AI and machine learning in agriculture bridges the gap between technology and sustainable farming 🌍.

Awards and Honors

  • 🏆 2018: NAGC Software Engineer Certificate
  • 🏅 2019: Excellent Award in the National NetGuard Security Cup
  • 🥉 2020: National Third Prize in the China College Student Programming Competition

Publication Highlights

  • 2024: HHS-RT-DETR: A Method for the Detection of Citrus Greening Disease 🍊 | Published in Agronomy 📖 
  • 2024: Research on a Panoramic Image Stitching Method for Images of Corn Ears, Based on Video Streaming 🌽 | Published in Agronomy 📖