Xinran Li | Multimedia security | Best Researcher Award

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Research Award Review

How would you rate the nominee's research excellence?

Outstanding – The nominee’s research is groundbreaking and has a significant impact.

Excellent – The research is highly valuable and well-recognized in the field.

Good – The research is strong but has some areas for improvement.

Average – The research is decent but lacks major contributions.

Needs Improvement – The research does not meet high standards for recognition.

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

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.

Skills 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.

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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Dr. Xinran Li | Multimedia Security | Best Researcher Award

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