Xinyi Yang | Hydrostatic Bearing | Best Researcher Award

Published on by China Scientist

Dr. Xinyi Yang | Hydrostatic Bearing | Best Researcher Award

Dr. Xinyi Yang is a researcher at Harbin University of Science and Technology, specializing in hydrostatic bearing systems and inertia friction welding. Her work focuses on analyzing the friction characteristics of clearance oil films and simulating fluid-thermal-solid interactions. She has participated in the National Key Research and Development Program of China and has published in top journals such as Tribology International and The International Journal of Advanced Manufacturing Technology.

Dr. Xinyi Yang | Harbin University of Science and Technology | China

Profile

SCOPUS ID

🎓Education

  • Xinyi Yang holds a doctoral degree and has pursued advanced academic training in mechanical engineering-related fields, with a particular focus on hydrostatic bearing systems and inertia friction welding. Her educational background has provided a solid foundation in tribology, fluid dynamics, and advanced manufacturing technologies.

👨‍🏫Experience

  • Currently serving as a researcher at Harbin University of Science and Technology, Xinyi Yang is actively involved in both theoretical and applied research. She has contributed to significant national-level research, particularly the National Key Research and Development Program of China, where her work focuses on solving engineering challenges related to bearing systems and welding technologies.

🏆Awards and Recognitions

  • As a contributing researcher in high-impact projects and publications, Xinyi Yang has gained recognition in her field, evidenced by her role in prestigious national programs. Her work is well-regarded in academic circles and contributes to the advancement of critical industrial technologies.

đź’ˇSkills and Certifications

  • Xinyi is skilled in computational modeling, particularly in simulating fluid-thermal-solid interactions. Her expertise includes analyzing friction characteristics in clearance oil films, precision mechanical system analysis, and applying engineering software tools for simulating and optimizing complex bearing and welding systems.

🔬 Research Focus

  • Her core research interests lie in the fields of hydrostatic bearing and inertia friction welding. She investigates the mechanical behavior of clearance oil films under various conditions and develops simulations to predict performance. Her studies are essential for enhancing the efficiency and reliability of high-precision machinery and have been published in reputable SCI-indexed journals such as the International Journal of Advanced Manufacturing Technology and Tribology International.

🌎Conclusion

  • Dr. Xinyi Yang demonstrates excellence in both theoretical and applied engineering research. Her ability to integrate complex simulations with practical mechanical applications positions her as a standout figure in her field. Given her proven contributions to innovation, academic excellence, and national research priorities, she is highly deserving of the Research for Best Researcher Award.

đź“–Publications

  • Transient deformation of axial closed hydrostatic carrying system for high-end inertial friction welding based on fluid-thermal-solid interaction

    Authors: Xinyi Yang, Xiaodong Yu, Yulong Xu, Jianhua Jiao, Hui Jiang
    Journal: Tribology International, 2025

Xinran Li | Multimedia security | Best Researcher Award

Published on by China Scientist

Dr. Xinran Li | Multimedia Security | Best Researcher Award

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Xinran Li is a postdoctoral researcher at the University of Shanghai for Science and Technology. She earned her PhD in Control Science and Engineering from the same institution in 2023 and holds an MS in Mechanical Engineering from the Agricultural University of Hebei. Her research focuses on multimedia information security, perceptual image hashing, information hiding, and steganography. She has published over 20 papers, including 15 SCI-indexed papers and five IEEE Transactions papers. A member of the IEEE and the China Society of Image and Graphics, she is dedicated to advancing digital security and artificial intelligence-driven protection techniques.
Dr. Xinran Li | | University of Shanghai for Science and Technology | China

Profile

SCOPUS ID

ORCID ID

🎓Education

  • Xinran Li obtained her Master’s degree in Mechanical Engineering from the Agricultural University of Hebei in 2017. She then pursued her PhD in Control Science and Engineering at the University of Shanghai for Science and Technology, completing her doctorate in 2023. Her academic journey has provided her with a strong foundation in engineering principles, computational techniques, and security applications in multimedia systems.

👨‍🏫Experience

  • Currently serving as a postdoctoral researcher at the University of Shanghai for Science and Technology, Xinran Li has been actively involved in cutting-edge research in multimedia information security. With over 20 research papers published, including 15 SCI-indexed papers and five IEEE Transactions papers, she has significantly contributed to the fields of perceptual image hashing, information hiding, and artificial intelligence security. Her collaborative research efforts have also resulted in multiple high-impact publications with esteemed co-authors.

🏆Awards and Recognitions

  • Xinran Li has established herself as a promising researcher in her field, earning recognition for her contributions to multimedia security and information protection. Her work has been featured in prestigious journals, including IEEE Transactions on Information Forensics and Security and IEEE Transactions on Multimedia. She is an active member of the China Society of Image and Graphics and the Institute of Electrical and Electronics Engineers, demonstrating her commitment to advancing research and professional collaboration.

đź’ˇSkills and Certifications

  • Xinran Li possesses expertise in digital image processing, deep learning for multimedia security, and advanced cryptographic techniques. Her technical skills extend to information hiding, steganography, and perceptual hashing, making her a specialist in protecting digital content from unauthorized access and tampering. Her ability to integrate artificial intelligence with security solutions has been instrumental in addressing real-world cybersecurity challenges.

🔬 Research Focus

  • Her research primarily revolves around multimedia information security, perceptual image hashing, information hiding, and steganography. She has worked extensively on developing robust and efficient techniques for secure digital communication, including untraceable steganography and neural architecture search for perceptual authentication hashing. Through her innovative research, she aims to enhance the security and integrity of digital images and multimedia content in an era of increasing cyber threats.

🌎Conclusion

  • Xinran Li is an outstanding candidate for the Best Researcher Award due to her exceptional research output, innovative contributions to multimedia security, and academic leadership. Her ability to push the boundaries of digital content protection makes her a deserving recipient of this recognition.

đź“–Publications

  • Untraceable Steganography: Towards the Anonymity of Steganographer
    Authors: Zichi Wang, Xinpeng Zhang, Xinran Li
    Journal: IEEE Signal Processing Letters, 2025

  • Perceptual Image Hashing Using Feature Fusion of Orthogonal Moments
    Authors: Xinran Li, Zichi Wang, Guorui Feng, Xinpeng Zhang, Chuan Qin
    Journal: IEEE Transactions on Multimedia, 2024

  • Robust Perceptual Image Hashing for Screen-Shooting Attack
    Authors: Tong Liu, Heng Yao, Xinran Li, Chuan Qin
    Journal: IEEE Transactions on Consumer Electronics, 2024

  • Diversified Cover Selection for Image Steganography
    Authors: Xinran Li, Daidou Guo, Chuan Qin
    Journal: Symmetry, 2023

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