Wenxin Hu | Computer Vision | Best Researcher Award

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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.

Jaehwan Jeong | Generative AI models | Best Researcher Award

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Mr. Jaehwan Jeong | Generative AI models | Best Researcher Award

Ph.D Student,Korea University,South Korea

Jaehwan Jeong is an emerging researcher in AI and computer vision, with a strong academic background and collaborations with top institutions. His work in deepfake defense and generative models positions him well for awards in AI safety and multi-modal learning. However, securing additional accepted publications and leading independent research could further bolster his case for the Best Researcher Award.

Publication Profile
Google Scholar

Education :

Jaehwan Jeong is currently pursuing a Ph.D. in Artificial Intelligence at Korea University, Seoul, South Korea (2024–2029, expected). He completed his Bachelor of Engineering (B.E.) in Electrical & Electronic Engineering from Chung-Ang University, Seoul, in 2021. His academic journey has been focused on artificial intelligence, deep learning, and computer vision.

Experience:

Research Focus:

Skills:

Jaehwan possesses strong expertise in:,Programming: Python, Shell Scripting, Git, LaTeX,Deep Learning Frameworks: PyTorch, PyTorch Lightning, TensorFlow,AI & ML Libraries: Hugging Face, Scikit-Learn

Publication :

  • MTVG: Multi-text Video Generation with Text-to-Video Models

    • Authors: Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Hyeokmin Kwon, Sangpil Kim
    • Publication: arXiv preprint arXiv:2312.04086
    • Year: 2023
    • Citation: Oh, G., Jeong, J., Kim, S., Byeon, W., Kim, J., Kim, S., Kwon, H., & Kim, S. (2023). MTVG: Multi-text Video Generation with Text-to-Video Models. arXiv preprint arXiv:2312.04086.
      kuai-lab.github.io

  • MEVG: Multi-event Video Generation with Text-to-Video Models

    • Authors: Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Sangpil Kim
    • Publication: European Conference on Computer Vision (ECCV), pages 401–418
    • Year: 2025
    • Citation: Oh, G., Jeong, J., Kim, S., Byeon, W., Kim, J., Kim, S., & Kim, S. (2025). MEVG: Multi-event Video Generation with Text-to-Video Models. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 (pp. 401–418). Springer.
      pure.korea.ac.kr

  • FaceShield: Defending Facial Image against Deepfake Threats

    • Authors: Jaehwan Jeong, Seungmin In, Sieun Kim, Hyojin Shin, Jaeho Jeong, Seunghyun Yoon, Jaewon Chung, Sungwoong Kim
    • Publication: arXiv preprint arXiv:2412.09921
    • Year: 2024
    • Citation: Jeong, J., In, S., Kim, S., Shin, H., Jeong, J., Yoon, S., Chung, J., & Kim, S. (2024). FaceShield: Defending Facial Image against Deepfake Threats. arXiv preprint arXiv:2412.09921.
Conclusion:

Jeong is a strong candidate for the award but would benefit from more accepted publications and demonstrated leadership in independent research. His ongoing Ph.D. work and collaborations with Samsung, NVIDIA, and Google make him a promising researcher with significant potential.