Haojie Liu | Machine Vision | Best Researcher Award

Published on 02/09/2025 by Global CAD Awards

Mr. Haojie Liu | Machine Vision | Best Researcher Award

Ph.D. candidate at Zhejiang University | China

Haojie Liu is a Ph.D. candidate at Zhejiang University, China, specializing in control science and engineering. His research focuses on advanced topics in artificial intelligence, including person re-identification, multi-modal learning, and content-based visual search. He has published extensively in leading international journals such as IEEE TNNLS, IEEE IoT Journal, IEEE JSTSP, IEEE TKDE, and IEEE TCSS, along with multiple papers under review in prestigious venues including IJCV and IEEE TSMC. His contributions have been recognized through innovative approaches such as spectrum-aware feature augmentation, modality bias calibration, and collaborative mixed learning for visible-infrared person re-identification, significantly advancing the field of AI-driven surveillance and smart systems.

Profile Verification

Scopus

Education Details

He is pursuing a doctoral degree in control science and engineering at Zhejiang University under the supervision of Prof. Wei Jiang. He previously completed a joint master’s program in computer science and technology at Xiamen University under Prof. Rongrong Ji and obtained his master’s degree in computer science and technology at Guizhou Normal University under Prof. Daoxun Xia.

Professional Experience

He has gained professional experience as a visual algorithm engineer at the Yuyao Research Center, Zhejiang University Robotics Research Institute in Ningbo, China, where he contributed to the development and application of advanced visual recognition and learning systems.

Research Interests

His primary research interests include person re-identification, multi-modal learning, and content-based visual search, with a focus on bridging modality gaps, enhancing model robustness, and advancing real-world applications in intelligent visual perception and surveillance.

Awards and Honors

He has been recognized with multiple awards for academic excellence and innovation, including provincial-level prizes in national innovation and entrepreneurship competitions, honors as an outstanding graduate, and distinctions such as the university-level three-good student award.

Publication Top Notes

SFANet: A Spectrum-Aware Feature Augmentation Network for Visible-Infrared Person Reidentification. IEEE Transactions on Neural Networks and Learning Systems, 2023.

Visible-Thermal Person Reidentification in Visual Internet of Things with Random Gray Data Augmentation and A New Pooling Mechanism. IEEE Internet of Things Journal, 2023.

Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification. IEEE Journal of Selected Topics in Signal Processing, 2023.

Inter-Intra Modality Knowledge Learning and Clustering Noise Alleviation for Unsupervised Visible-Infrared Person Re-Identification. IEEE Transactions on Knowledge and Data Engineering, 2024.

Modality Bias Calibration Network via Information Disentanglement for Visible-Infrared Person Re-Identification in Social Surveillance System. IEEE Transactions on Computational Social Systems, 2024.

Conclusion

Through his strong academic background, impactful research contributions, and recognized achievements, Haojie Liu has established himself as a promising researcher in the fields of artificial intelligence, computer vision, and intelligent surveillance, with significant potential for advancing multi-modal learning and real-world applications in AI-driven systems.

Wenxin Hu | Computer Vision | Best Researcher Award

Published on 09/07/202514/07/2025 by Global CAD Awards

Assoc. Prof. Dr Wenxin Hu | Computer Vision | Best Researcher Award

Associate professor at Shenzhen MSU-BIT University, China.

Dr. Wenxin Hu , is an Associate Professor at the Artificial Intelligence Research Institute of Shenzhen MSU-BIT University 🎓. With a Ph.D. in Solid Mechanics from USTC and visiting experience at Durham University 🌍, Dr. Hu has built a strong foundation in optical mechanics, emotional intelligence, and computer vision. His academic journey is marked by excellence, innovation, and dedication to interdisciplinary research 🔬🤖. With several peer-reviewed publications and national recognitions 🏅, he is leading advancements in intelligent optical measurement systems and AI-driven sensing technologies. Passionate about bridging mechanics and smart systems, Dr. Hu is a rising researcher in modern engineering fields 🚀.

Professional Profile

Scopus

Education & Experience

📚 2011.09 – 2015.06: B.S. in Engineering Mechanics, Dayu College, Hohai University (Top 1 GPA)
🎓 2015.09 – 2020.07: Ph.D. in Solid Mechanics, School of Engineering Science, USTC
🌐 2019.10 – 2020.03: Visiting Scholar, School of Engineering, Durham University, UK
🧑‍🔬 2020.09 – 2022.11: Postdoctoral Fellow, Shenzhen University, College of Physics and Optoelectronic Engineering
🔬 2022.11 – 2023.03: Associate Researcher, Shenzhen University
👨‍🏫 2023.04 – Present: Associate Professor, Artificial Intelligence Research Institute, Shenzhen MSU-BIT University

Summary Suitability

Dr. Wenxin Hu, currently serving as an Associate Professor at the Artificial Intelligence Research Institute, Shenzhen MSU-BIT University, is an exceptional candidate for the Best Researcher Award. His academic trajectory, innovative research, and interdisciplinary expertise make him a leading figure in the integration of solid mechanics, optical measurement, and intelligent systems.

Professional Development

Dr. Wenxin Hu has actively pursued interdisciplinary development by integrating solid mechanics with computer vision and artificial intelligence 🤝💡. His postdoctoral training sharpened his expertise in optoelectronics, while overseas research at Durham University enriched his global academic exposure 🌍📖. He continuously upgrades his technical toolkit by working on real-time optical measurement, intelligent sensing systems, and AI-based image processing 📸🧠. Dr. Hu contributes as a researcher, mentor, and technical innovator, and participates in academic conferences, collaborative research programs, and technical leadership in smart optical systems 🔧👨‍🔬. His commitment to continuous learning defines his professional trajectory in engineering science and AI 🔄🔍.

Research Focus

Wenxin Hu’s research primarily spans optical mechanics, computer vision, and emotional intelligence 🔍📷🧠. He specializes in developing automated optical measurement systems for real-time and high-accuracy sensing 📡⚙️. His work explores fringe phase extraction, defocused speckle analysis, and sub-pixel displacement techniques to improve intelligent measurement precision 📏🔬. Additionally, he applies AI to interpret visual and emotional signals for human-computer interaction 🤖💬. Bridging solid mechanics with digital imaging, Dr. Hu is a pioneer in next-generation smart sensing solutions that support advanced industrial diagnostics, health monitoring, and intelligent robotics 🚗🏭📊.

Awards & Honors

🏅 2012.10: Inspirational Scholarship
🥇 2013.08: National Excellence Award & Provincial Second Prize, Zhou Peiyuan Mechanics Competition
🏆 2014.11: National Scholarship
🎓 2016.05 & 2017.05: “Jiang Zhen” Scholarships
💰 2018.11: “Guoyuan Securities” Scholarship
🌟 2022.12: “Pengcheng Peacock” Special Post (Class C)
🏅 2023.12: EAI QSHINE 2023 – Excellent Organization Award

Publication Top Notes

Hu Wenxin, Xiong Chen, Fu Yu, Hu Xiping*.
Direct strain measurement method based on the correlation of defocused laser speckle pattern.
Optics and Lasers in Engineering, 2024, 176(1): 108051.
Hu Wenxin, Miao Hong*.
Sub-pixel displacement algorithm in temporal sequence digital image correlation based on correlation coefficient weighted fitting.
Optics and Lasers in Engineering, 2018, 110: 410–414.
Hu Wenxin, Xiong Chen, Xu Jingchao, Li Wei, Miao Hong*.
Real-time out-of-plane displacement measurement using displacement compensation.
Review of Scientific Instruments, 2019, 90(12): 125104.
Hu Wenxin, Miao Hong, Yan Keyu, Fu Yu*.
A Fringe Phase Extraction Method Based on Neural Network.
Sensors, 2021, 21(5): 1664.
Hu Wenxin, Sheng Zhipeng, Yan Keyu, Miao Hong, Fu Yu*.
A New Pattern Quality Assessment Criterion and Defocusing Degree Determination of Laser Speckle Correlation Method.
Sensors, 2021, 21(14): 4728.
Xiong Chen, Hu Wenxin, Zhang Ming, Miao Hong*.
Real-time one-point out-of-plane displacement measurement system using electronic speckle pattern interferometry.
Optical Engineering, 2016, 55(12): 121721.
Sheng Zhipeng, Chen Bing, Hu Wenxin, Yan Keyu, Miao Hong, Zhang Qingchuan, Yu Qifeng, Fu Yu*.
LDV-induced stroboscopic digital image correlation for high spatial resolution vibration measurement.
Optics Express, 2021, 29(18): 28134–28147.
Fu Yu, Shang Yang, Hu Wenxin, Li Bin, Yu Qifeng*.
Non-contact optical dynamic measurements at different ranges: a review.
Acta Mechanica Sinica, 2021, 1–17.

Conclusion

With a robust research portfolio, impactful innovations, and dedication to advancing science at the intersection of mechanics and AI, Dr. Wenxin Hu exemplifies the qualities of a Best Researcher Award recipient. His scientific rigor, academic excellence, and real-world impact distinguish him as a rising star in modern engineering and intelligent measurement research.

Zhao Song| Machine Vision| Best Researcher Award

Published on 16/06/2025 by Global CAD Awards

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.

📚Publication

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

Published on 04/06/202504/06/2025 by Global CAD Awards

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

Engr. Afolabi Awodeyi’s academic journey is rooted in dedication and continuous learning 📘. He is currently pursuing a Ph.D. in Computer Engineering at the University of Uyo, Akwa Ibom State, Nigeria 🎓. He earned his Master of Engineering (M.Eng.) degree in Computer Engineering with distinction from the same university 🏅. His commitment to academic excellence began with a Higher National Diploma (HND) and National Diploma (ND) in Computer Engineering from Rufus Giwa Polytechnic, Owo, Ondo State 🏫. To further equip himself for teaching and research, he completed a Postgraduate Diploma (PGD) in Computer Engineering from Covenant University and a PGD in Education from the National Open University of Nigeria 📖. His blend of technical and educational qualifications has shaped his dual competence in engineering and pedagogy 📡📚. This strong educational foundation supports his innovative research in computer vision, biometrics, and intelligent systems development 🤖.

👩‍🏫 Experience

Engr. Awodeyi currently serves as Lecturer II in the Department of Computer Engineering at Southern Delta University, Ozoro 🏛️. With several years of teaching experience, he imparts core engineering principles to students and guides their academic growth 🎓. He has been involved in curriculum development, lab coordination, and project supervision 💡. His background includes hands-on projects ranging from intelligent street lighting systems to panic button alarm systems for emergency response 🚨. As a researcher and educator, he emphasizes practical learning by integrating current research trends into classroom instruction 🧑‍🏫. His exposure to multidisciplinary teams and institutional collaborations has enhanced his communication and leadership skills 🤝. Throughout his career, he has prioritized academic excellence and student mentorship 🌟. His role at the university extends beyond teaching; he actively participates in seminars, workshops, and university research clusters focused on technology and innovation 💻📊.

📚 Professional Development

Engr. Awodeyi has actively pursued professional development to stay at the forefront of technological innovation and pedagogy 🚀. He is a Registered Engineer (R.Engr.) with the Council for the Regulation of Engineering in Nigeria (COREN) 🛠️, a prestigious body that ensures high standards in the engineering profession. He is also a Member of the International Association of Engineers (IAENG) 🌍, connecting him with a global community of experts and providing access to cutting-edge resources and conferences 📚. His professional certifications in both engineering and education reflect his commitment to lifelong learning and academic excellence 🔍. Attending various academic conferences, including the World Congress on Engineering and Computer Science (WCECS), has broadened his technical insights and collaborative networks 🧠🔗. Through continual self-improvement, Engr. Awodeyi bridges the gap between academia and industry, equipping his students and colleagues with future-ready knowledge and tools 💼📘.

🛰️ Research Focus

Engr. Afolabi Awodeyi’s research is centered around Computer Vision, Biometrics, and Embedded Hardware Systems 🧠📷. His innovative projects focus on enhancing biometric authentication systems using advanced algorithms like CNN-based face and iris fusion 🔐. His goal is to build more secure, reliable access control systems suited for real-world applications. His recent research delves into preprocessing techniques to improve facial recognition under challenging conditions, such as occlusion and varying lighting 🌫️💡. His other significant work includes the development of self-organizing multipurpose mobile robots and real-time encoder-based facial recognition frameworks 🤖. With a keen interest in integrating AI with security, his research contributes to smart infrastructure, digital identity, and intelligent automation 🌐. He has collaborated with multidisciplinary teams on multiple Scopus-indexed publications, reinforcing the global relevance and rigor of his research work 📄. His dedication to this field continues to yield innovations that bridge academic theory and industrial needs 🧩.

🏆 Awards and Honors

Engr. Awodeyi has been nominated for the Best Researcher Award under the International Invention Awards 2025 🥇. This recognition reflects his outstanding contributions to engineering research, particularly in the domains of computer vision, facial recognition, and biometric security systems 🔍🔒. His work in Scopus-indexed journals showcases his commitment to high-quality, impactful research that addresses real-world technological challenges 🌍. His academic excellence, seen in distinctions earned during his M.Eng. program, further highlights his scholarly merit 🎓. Though still early in his recognition journey, his multiple international conference publications and collaborative book chapter on cyber-physical systems indicate strong peer acknowledgment 📖. His innovative mindset and consistent scholarly output make him a deserving recipient of honors within and beyond the academic community 🌟. As his contributions grow in complexity and relevance, more accolades and institutional recognitions are anticipated in the future 🏅📊.

📚Publication

📖 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

Published on 12/05/2025 by Global CAD Awards

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:

Scopus

Education

Dr. Wenshu Li received his Ph.D. in Computer Science and Technology from the College of Computer Science and Technology at Zhejiang University, China, in June 2005. Prior to that, he earned a Master of Science (M.S.) degree in Computer Science and Technology from Zhejiang University of Technology in July 2001. He began his academic journey with a Bachelor of Arts (B.A.) in Biology Engineering from the Department of Light Industry and Chemistry at Qiqihar University, China, graduating in June 1997.

Professional Experience

Dr. Li is currently a Professor at the College of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China, where he has served since September 2012. His professional address is Room 10-221, Department of Intelligence Recognition and System, located in the Xiasha Higher Education Area. He has been part of Zhejiang Sci-Tech University since 2005, initially joining as an Assistant Professor (2005–2007) and then serving as an Associate Professor (2007). Between December 2007 and June 2010, he completed a postdoctoral fellowship with the Group of MRI Reconstruction in the Department of Biomedical Engineering at Shanghai Jiaotong University.

Skills

Dr. Li has extensive programming expertise in a range of languages and technologies. He is proficient in Java, C/C++, JSP, HTML, XML, ASP, Matlab, and Python. These skills support his diverse research activities in computational modeling, visual computing, and intelligent systems.

Research Focus

Dr. Li’s research interests lie at the intersection of artificial intelligence and visual computing. His work primarily focuses on image processing, cognition modeling, face and facial expression recognition, the Web of Things (WoT), and enterprise resource planning (ERP). He has made significant contributions in applying computational techniques to both medical diagnostics and human-computer interaction systems.

Research Grants

Dr. Li has been actively involved in numerous research projects funded at both national and provincial levels. He served as the Principal Investigator on several grants, including a Natural Science Foundation of China project (No. 60702069) on tongue inspection in Traditional Chinese Medicine and a Zhejiang Provincial Science Foundation grant (No. Y1080851) focused on facial expression recognition. Other leading projects include research on image analysis technologies for tongue diagnostics, facial expression recognition systems, and android-based management systems for China Power. He has also contributed as a core member to national key projects under the Ministry of Science and Technology and China’s 863 Program, including research on tactile interaction in virtual experimental environments and MRI reconstruction.

Awards

Dr. Li has received several honors recognizing his contributions to scientific research and academic excellence. In 2011, he was awarded the Excellent Young Faculty Award for University Staff in Zhejiang Province. In 2013, he received the Scientific and Technological Progress Award from the China General Chamber of Commerce, acknowledging his impactful innovations in applied research.

Publication :

Title: ST2SI: Image Style Transfer via Vision Transformer using Spatial Interaction
Authors: Wenshu Li, Yinliang Chen, Xiaoying Guo, Xiaoyu He
Journal: Computers and Graphics (Pergamon)
Year: 2024
Citations: 3
Title: Systematic comparison of genome information processing and boundary recognition tools used for genomic island detection
Authors: Xiangting Guo, Yichu Guo, Hu Chen, Michael Qi Zhang, Qi Dai
Journal: Computers in Biology and Medicine
Year: 2023
Citations: 9
Title: A novel visual classification framework on panoramic attention mechanism network
Authors: Wenshu Li, Shenhao Li, Lingzhi Yin, Xiaoying Guo, Xu Yang
Journal: IET Computer Vision
Year: 2022
Citations: Not specified (likely minimal)

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

Published on 28/03/202528/03/2025 by Global CAD Awards

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

scopus

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