Dalian, China

Rongrong Chen


Average Co-Inventor Count = 5.6

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):

Title: The Innovative Contributions of Rongrong Chen

Introduction

Rongrong Chen is a notable inventor based in Dalian, China. She has made significant strides in the field of image encryption, holding a total of two patents. Her groundbreaking inventions focus on enhancing image security through innovative methods, demonstrating her dedication to advancing technology.

Latest Patents

Rongrong Chen's latest patents include two unique image encryption methods. The first patent, "Image encryption method based on multi-scale compressed sensing and Markov model," introduces an innovative approach to improve the reconstruction quality of decrypted images. By setting different sampling rates for low-frequency and high-frequency coefficients of an image, her method ensures that the resulting decrypted images have better visual effects and retain complete original information, surpassing existing schemes.

The second patent, "Image encryption method based on improved class boosting scheme," addresses limitations in original boosting networks. This invention utilizes parameters from a hyperchaotic system and class perceptron networks to generate chaotic sequences for encryption. By enhancing the update and prediction functions, Rongrong's innovation produces ciphertext images with higher information entropy, thereby strengthening image security.

Career Highlights

Rongrong Chen is affiliated with Dalian University of Technology, where she engages in research and development related to image encryption technologies. Her academic background and research focus have positioned her among the leading figures in her field, contributing significantly to advancements in digital security.

Collaborations

Throughout her career, Rongrong has collaborated with esteemed colleagues Qiang Zhang and Bin Wang. Together, they work on innovative research projects that strive to push the boundaries of current encryption techniques, fostering a collaborative environment conducive to technological advancements.

Conclusion

Rongrong Chen's contributions to the field of image encryption are both innovative and impactful. Her patented methods provide enhanced security and improved quality in decrypted images, showcasing her ingenuity as an inventor. As she continues her work at Dalian University of Technology, the potential for further advancements looks promising, paving the way for more secure image handling in the future.

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