Zhao Song| Machine Vision| Best Researcher Award

Dr. Zhao Song| Machine Vision| Best Researcher Award

Associate Researcher,  Hangzhou Innovation Research Institute of Beihang University, China

🔬 Short Biography 🌿💊📚

Dr. Zhao Song is an Associate Researcher at the Hangzhou Innovation Research Institute of Beihang University, China. His work focuses on Machine Vision, where he has made impactful contributions to intelligent visual systems, image recognition, and deep learning applications in automation and robotics. Dr. Song’s research bridges cutting-edge algorithm development with real-world industrial applications, earning him recognition in both academic and technology innovation spheres. As a dedicated scholar and innovator, he has published in top-tier journals and actively collaborates on interdisciplinary projects that advance machine vision technologies. His outstanding contributions make him a strong candidate for the Best Researcher Award in Machine Vision

Profile

Orcid

🎓 Education

Dr. Zhao Song has a solid educational background that reflects his expertise in automation, systems engineering, and artificial intelligence. He earned his Bachelor’s degree in Automation from Shandong University of Science and Technology (2007–2011). He then pursued a Master’s degree in Systems Engineering from Nankai University (2011–2014), where he laid the groundwork for his algorithmic and system design skills. His academic journey culminated with a Ph.D. in Pattern Recognition and Intelligent Systems from the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (2017–2021), focusing on photometric stereo and 3D reconstruction technologies.

💼 Experience

Dr. Song began his professional career as an Algorithm Engineer at Guangzhou GRG Banking Equipment Co., Ltd. (2014–2016), where he specialized in embedded C programming for ATM systems. He then transitioned to research as an assistant at the Chinese Academy of Sciences (2016–2017). His postdoctoral research at Huawei Technologies Co., Ltd. (2021–2023) focused on integrating material modeling with structured light systems for digital human modeling. Since September 2023, he has been serving as a Senior Associate Researcher at the Hangzhou Innovation Research Institute of Beihang University, where he leads projects in structured light, photometric modeling, and digital human generation.

🛠️ Skills

Dr. Song possesses a comprehensive skill set in 3D reconstruction, photometric stereo, structured light systems, and material measurement and modeling. His technical proficiency spans C/C++ programming, GPU parallel computing, OpenCV, and real-time image processing algorithms. He is capable of independently designing, building, and optimizing structured light systems for micrometer-level reconstruction. His interdisciplinary approach combines optics, computer vision, and rendering algorithms, making him adept at solving complex problems in material-aware geometry acquisition.

🔬 Research Focus

Dr. Song’s research revolves around 3D reconstruction and material acquisition, with a core focus on photometric stereo, binary stripe structured light, and integrated geometry-material modeling systems. During his Ph.D., he proposed innovative LED-based photometric stereo techniques and developed micrometer-level reconstruction methods for reflective surfaces. As a postdoc, he introduced a novel fusion framework combining photometric cues with structured light for enhanced accuracy. His recent work includes pioneering the first structured light system capable of outputting complete material maps (diffuse, specular, roughness, normal) and investigating DMA correction techniques to improve reconstruction under varying lighting and material conditions. He also contributed to high-fidelity digital human creation using Lightstage systems and NeRF-based geometry fusion.

🏆 Awards & Achievements

Dr. Song has made significant contributions to both academia and industry. His work has led to multiple high-impact publications in journals like Optics Express, Optics and Lasers in Engineering, and Sensors. He has authored several national patents, including groundbreaking methods for 3D object reconstruction and material-aware geometry optimization. His innovations in integrating structured light with material modeling have been successfully translated into commercial applications, notably in digital human rendering. Recognized for his originality and technical acumen, Dr. Song is a prominent candidate for leading awards in Machine Vision and 3D Imaging Systems.

  • Title: A novel calibration method for uniaxial MEMS-based structured light system with linear transition function

    Journal: Measurement

    DOI: 10.1016/j.measurement.2025.117969

    Year: 2025

    Authors: Yuping Ye, Gang Zhou, Xiujing Gao, Zhenghui Hu, Yi Chen, Zhao Song, Zhan Song

    Citations: Not yet available (published for December 2025—may not have citations yet)

    Title: Micrometer-level 3D measurement techniques in complex scenes based on stripe-structured light and photometric stereo

    Journal: Optics Express

    DOI: 10.1364/OE.401850

    Publication Date: October 26, 2020

    Authors: Zhao Song, Zhan Song, Juan Zhao, Feifei Gu

    Citations: 43 citations

🏁conclusion:

Dr. Zhao Song is an excellent candidate for the Best Researcher Award. His proven ability to develop cutting-edge, commercial-ready solutions, along with original research that pushes the frontiers of 3D computer vision and graphics, strongly justifies his nomination. Recognizing him with this award would encourage continued innovation at the intersection of vision, AI, and human digitalization.

AFOLABI AWODEYI | Computer Vision | Best Researcher Award

Mr. AFOLABI AWODEYI | Computer Vision | Best Researcher Award

Lecturer , Southern Delta University Ozoro, Delta State ,Nigeria.

🔬 Short Biography 🌿💊📚

👨‍🏫 Engr. Afolabi Awodeyi is a dedicated Lecturer II at Southern Delta University, Ozoro, Delta State, Nigeria 🇳🇬. He is currently pursuing a Ph.D. in Computer Engineering at the University of Uyo. With a distinction in his M.Eng. and multiple diplomas, his academic journey reflects a deep passion for engineering education and innovation 💡. A registered engineer with COREN 🛠️ and a proud member of IAENG 🌍, Engr. Awodeyi has authored several impactful publications in Scopus-indexed journals 📚. His research focuses on computer vision, biometrics (face, iris, fingerprint) 🧠👁️, and intelligent hardware systems 🤖. He’s developed CNN-based biometric fusion systems and self-organizing robots, contributing significantly to access control and smart automation 🔐. His collaborative spirit and commitment to excellence make him a notable force in the tech research landscape 🚀.

Profile

ORCID PROFILE

GOOGLE SCHOLAR PROFILE

🎓 Education

📖 1. Development of an Electronic Weighing Indicator for Digital Measurement

👨‍🔬 Authors: E. Akindele Ayoola, I. Awodeyi Afolabi, O. Matthews Victor, …
📅 Year: 2018
🔢 Citations: 21

📖 2. Design and Construction of a Panic Button Alarm System for Security Emergencies

👨‍🔬 Authors: A. Afolabi, O. Moses, S. Makinde Opeyemi, A. Ben-Obaje Abraham, …
📅 Year: 2018
🔢 Citations: 19

📖 3. Development of an Intelligent Smart Shopping Cart System

👨‍🔬 Authors: A.E. Ayoola, A.I. Afolabi, V.W. Oguntosin, O.A. Alashiri, V.O. Matthews, …
📅 Year: 2019
🔢 Citations: 4

📖 4. Effective Preprocessing Techniques for Improved Facial Recognition under Variable Conditions

👨‍🔬 Authors: A.I. Awodeyi, O.A. Ibok, I. Omokaro, J.U. Ekwemuka, M.O. Ighofiomoni
📅 Year: 2025
🔢 Citations: 1

📖 5. Cyber-Physical Systems Attacks and Countermeasures

👨‍🔬 Authors: P. Asuquo, M. Usoh, B. Stephen, C. Aneke, A. Awodeyi
📅 Year: 2022
🔢 Citations: 1

📖 6. Comparative Analysis of Preprocessing Techniques for Enhanced Facial Recognition under Challenging Conditions

👨‍🔬 Authors: A. Awodeyi, O. Ibok, O. Idama, J. Ekwemuka, D. Ebem, R. Mamah, O. Ugwu
📅 Year: 2025
🔢 Citations:

📖 7. Development of a Real-Time Auto Encoder Facial Occlusion Recognition System Framework

👨‍🔬 Authors: A. Awodeyi, P. Asuquo, C. Kalu
📅 Year: 2024
🔢 Citations:

📖 8. Development of a Self-Organizing Multipurpose Mobile Robot

👨‍🔬 Authors: A. Awodeyi, A.E. Akindele, E.E. Dan, O.A. Ibok
📅 Year: 2024
🔢 Citations:

📖 9. The Development of a Self-Organizing Multipurpose Mobile Robot

👨‍🔬 Author: A. Awodeyi
📅 Year: 2024
🔢 Citations:

📖 10. Design and Construction of a Microcontroller-Based Automated Intelligent Street Lighting System

👨‍🔬 Authors: M.V.O. Awodeyi Afolabi, Samuel Isaac Adekunle, Akindele Ayoola
📅 Year: 2018
🔢 Citations:

🏁conclusion:

🎓 Yes, Engr. Afolabi Awodeyi is a highly deserving candidate for the Best Researcher Award 🏆. His unwavering dedication to innovation 💡, interdisciplinary research 🤝, and academic excellence 📘 highlights his status as a forward-thinking scholar in the field of computer engineering. With impactful contributions to biometrics 🔐, intelligent systems 🤖, and facial recognition 🧠, his research holds both academic and real-world relevance. As a COREN-registered engineer and active member of IAENG 🌍, he bridges theory and practice, shaping the future of smart technologies. While there is room to grow in citations and patents 📈, his evolving research portfolio shows immense promise. Recognizing Engr. Awodeyi at this stage will not only honor his contributions but also inspire further high-impact and industry-oriented advancements 🔬. His profile perfectly aligns with the award’s mission to uplift emerging leaders driving excellence in research and innovation 🚀. Truly, he embodies the spirit of modern engineering research 🌟.

Wenshu Li | Computer Vision | Best Researcher Award

 

Prof. Dr. Wenshu Li | Computer Vision | Best Researcher Award

Professor, Zhejiang Sci-Tech University. China

Professor Wenshu Li is an experienced and active researcher in computer science, specializing in computer vision and cognition modeling, with well-established national funding and a solid portfolio of applied research. His work integrates modern machine learning methods with practical domains such as traditional Chinese medicine and infrastructure systems. The quality of publications and involvement in high-level grants affirm his senior research role in China.

Profile:
Publication : 

conclusion:

Yes, Professor Wenshu Li is a strong candidate for a Best Researcher Award, particularly within national or institutional settings where emphasis is placed on long-term contribution, funding success, and applied interdisciplinary research.

For higher-tier or international awards, improving global visibility, increasing high-impact authorship, and articulating mentorship and societal impact would make his candidacy even more compelling

Mei-Yung Chen | Machine Vision | Best Academic Researcher Award

Prof. Mei-Yung Chen | Machine Vision | Best Academic Researcher Award

Distinguished Professor , National Taiwan Normal University, Taiwan

Prof. Mei-Yung Chen is a highly accomplished researcher in mechatronics and control engineering, with a strong academic background and recognition as a Distinguished Professor. His work in magnetic levitation, positioning, and tracking is crucial for robotics, automation, and precision engineering. While his credentials are impressive, providing more quantitative data on publications, patents, collaborations, and research funding would further enhance his profile for the Best Researcher Award.

Publication Profile

Education :

Prof. Mei-Yung Chen obtained his B.S. degree from Tamkang University in 1992, followed by an M.S. degree from Chung Yuan Christian University in 1994. He later pursued a Ph.D. degree at National Taiwan University, completing his doctoral studies in 2003.

Experience:

Currently, Prof. Chen serves as a Professor in the Department of Mechatronic Engineering at National Taiwan Normal University, Taiwan. With years of academic and research experience, he has made significant contributions to the field of mechatronics. His expertise extends to both teaching and mentoring students, advancing knowledge in engineering and control systems.

Research Focus:

Prof. Chen’s research interests encompass a wide range of areas, including engineering education, magnetic levitation, precise positioning and tracking, mechatronic system development, and advanced control theory with its applications. His work has significantly contributed to the advancement of control mechanisms in modern engineering, enhancing precision and efficiency in automation and mechatronic systems.

Skills:

Prof. Chen possesses extensive expertise in mechatronics, magnetic levitation systems, positioning and tracking technologies, and advanced control theory. His technical proficiency includes designing and implementing precise control systems, integrating mechatronic principles, and developing innovative solutions for engineering challenges.

Awards:

In recognition of his outstanding contributions, Prof. Chen was honored with the Distinguished Professorship from National Taiwan Normal University in 2012. His research excellence and dedication to academia have earned him a respected reputation in his field.

Publication :

  • Simulation and Experiment of a Boost Converter With Four-Layer Voltage Multipliers

    • Authors: W. Lin, Weicheng; M. Chen, Meiyung; K. Pai, Kaijun

    • Year: Not specified

    • Citations: 0

    • Type: Article

    • Source: Not available

  • Design of an Adaptive T–S Fuzzy Sliding Mode Controller for Robot Arm Tracking

    • Authors: Z. Yang, Zhixiang; M. Chen, Meiyung

    • Year: 2024

    • Citations: 0

    • Type: Article

    • Source: International Journal of Fuzzy Systems

  • A Real-Time Path Planning Algorithm Based on the Markov Decision Process in a Dynamic Environment for Wheeled Mobile Robots

    • Authors: Y. Chen, Yuju; B.G. Jhong, Bing Gang; M. Chen, Meiyung

    • Year: 2023

    • Citations: 4

    • Type: Article (Open Access)

    • Source: Actuators

  • Controller with the PID Parameters Optimization by PSO for a 6-DOF Robotic Arm

    • Authors: K. Wu, Kunjui; M. Chen, Meiyung

    • Year: Not specified

    • Citations: 0

    • Type: Conference Paper

    • Source: Not available

  • Vector Model-Based Robot-Assisted Control System for a Wheeled Mobile Robot

    • Authors: B.G. Jhong, Bing Gang; M. Chen, Meiyung

    • Year: 2023

    • Citations: 0

    • Type: Article

    • Source: Chung Kuo Kung Ch’eng Hsueh K’an

  • An Enhanced Navigation Algorithm with an Adaptive Controller for Wheeled Mobile Robot Based on Bidirectional RRT

    • Authors: B.G. Jhong, Bing Gang; M. Chen, Meiyung

    • Year: 2022

    • Citations: 4

    • Type: Article (Open Access)

    • Source: Actuators

  • A TD-RRT∗ Based Real-Time Path Planning of a Nonholonomic Mobile Robot and Path Smoothening Technique Using Catmull-Rom Interpolation

    • Authors: Jyotish; M. Chen, Meiyung

    • Year: Not specified

    • Citations: 2

    • Type: Conference Paper

    • Source: Not available

  • Apply Adaptive Neural Network PID Controllers for a 6DOF Robotic Arm

    • Authors: M. Wu, Mengchien; B.G. Jhong, Bing Gang; M. Chen, Meiyung

    • Year: Not specified

    • Citations: 0

    • Type: Conference Paper

    • Source: Not available