Haojie Liu | Machine Vision | Best Researcher Award

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.

AFOLABI AWODEYI | Computer Vision | Best Researcher Award

Mr. AFOLABI AWODEYI | Computer Vision | Best Researcher Award

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

πŸ”¬ Short BiographyΒ πŸŒΏπŸ’ŠπŸ“š

πŸ‘¨β€πŸ« Engr. Afolabi Awodeyi is a dedicated Lecturer II at Southern Delta University, Ozoro, Delta State, Nigeria πŸ‡³πŸ‡¬. 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 πŸ’‘. A registered engineer with COREN πŸ› οΈ and a proud member of IAENG 🌍, Engr. Awodeyi has authored several impactful publications in Scopus-indexed journals πŸ“š. His research focuses on computer vision, biometrics (face, iris, fingerprint) πŸ§ πŸ‘οΈ, and intelligent hardware systems πŸ€–. He’s developed CNN-based biometric fusion systems and self-organizing robots, contributing significantly to access control and smart automation πŸ”. His collaborative spirit and commitment to excellence make him a notable force in the tech research landscape πŸš€.

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πŸŽ“ Education

πŸ“– 1. Development of an Electronic Weighing Indicator for Digital Measurement

πŸ‘¨β€πŸ”¬ Authors: E. Akindele Ayoola, I. Awodeyi Afolabi, O. Matthews Victor, …
πŸ“… Year: 2018
πŸ”’ Citations: 21

πŸ“– 2. Design and Construction of a Panic Button Alarm System for Security Emergencies

πŸ‘¨β€πŸ”¬ Authors: A. Afolabi, O. Moses, S. Makinde Opeyemi, A. Ben-Obaje Abraham, …
πŸ“… Year: 2018
πŸ”’ Citations: 19

πŸ“– 3. Development of an Intelligent Smart Shopping Cart System

πŸ‘¨β€πŸ”¬ Authors: A.E. Ayoola, A.I. Afolabi, V.W. Oguntosin, O.A. Alashiri, V.O. Matthews, …
πŸ“… Year: 2019
πŸ”’ Citations: 4

πŸ“– 4. Effective Preprocessing Techniques for Improved Facial Recognition under Variable Conditions

πŸ‘¨β€πŸ”¬ Authors: A.I. Awodeyi, O.A. Ibok, I. Omokaro, J.U. Ekwemuka, M.O. Ighofiomoni
πŸ“… Year: 2025
πŸ”’ Citations: 1

πŸ“– 5. Cyber-Physical Systems Attacks and Countermeasures

πŸ‘¨β€πŸ”¬ Authors: P. Asuquo, M. Usoh, B. Stephen, C. Aneke, A. Awodeyi
πŸ“… Year: 2022
πŸ”’ Citations: 1

πŸ“– 6. Comparative Analysis of Preprocessing Techniques for Enhanced Facial Recognition under Challenging Conditions

πŸ‘¨β€πŸ”¬ Authors: A. Awodeyi, O. Ibok, O. Idama, J. Ekwemuka, D. Ebem, R. Mamah, O. Ugwu
πŸ“… Year: 2025
πŸ”’ Citations: –

πŸ“– 7. Development of a Real-Time Auto Encoder Facial Occlusion Recognition System Framework

πŸ‘¨β€πŸ”¬ Authors: A. Awodeyi, P. Asuquo, C. Kalu
πŸ“… Year: 2024
πŸ”’ Citations: –

πŸ“– 8. Development of a Self-Organizing Multipurpose Mobile Robot

πŸ‘¨β€πŸ”¬ Authors: A. Awodeyi, A.E. Akindele, E.E. Dan, O.A. Ibok
πŸ“… Year: 2024
πŸ”’ Citations: –

πŸ“– 9. The Development of a Self-Organizing Multipurpose Mobile Robot

πŸ‘¨β€πŸ”¬ Author: A. Awodeyi
πŸ“… Year: 2024
πŸ”’ Citations: –

πŸ“– 10. Design and Construction of a Microcontroller-Based Automated Intelligent Street Lighting System

πŸ‘¨β€πŸ”¬ Authors: M.V.O. Awodeyi Afolabi, Samuel Isaac Adekunle, Akindele Ayoola
πŸ“… Year: 2018
πŸ”’ Citations: –

🏁conclusion:

πŸŽ“ Yes, Engr. Afolabi Awodeyi is a highly deserving candidate for the Best Researcher Award πŸ†. His unwavering dedication to innovation πŸ’‘, interdisciplinary research 🀝, and academic excellence πŸ“˜ highlights his status as a forward-thinking scholar in the field of computer engineering. With impactful contributions to biometrics πŸ”, intelligent systems πŸ€–, 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 πŸ“ˆ, 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 πŸ”¬. His profile perfectly aligns with the award’s mission to uplift emerging leaders driving excellence in research and innovation πŸš€. 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.

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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