Dr Shao Cuiping, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
Cuiping Shao is a dedicated researcher in computer application technology, specializing in circuit reliability and testability. She earned her Ph.D. from the University of Chinese Academy of Sciences in 2019, focusing on detection technology for digital integrated circuits. Cuiping has extensive experience at the Shenzhen Institute of Advanced Technology, where she progressed from a research intern to an associate researcher. Her research interests include system security and heterogeneous chip optimization design. Cuiping has authored multiple high-impact publications and holds several patents related to chip security and fault tolerance. 💻🔍✨.
publication profile
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Education
Dr. Shao Cuiping earned a Ph.D. in Computer Application Technology from the University of Chinese Academy of Sciences (Sep. 2016 – Jul. 2019), focusing on circuit reliability and testability. Their dissertation, titled “Research on Single Event Effects Detection Technology for Digital Integrated Circuits,” reflects their expertise in advanced electronics. Prior to this, they obtained a Master of Engineering in Microelectronics and Solid Electronics from Xi’an Institute of Microelectronics Technology (Aug. 2009 – Jul. 2012). They began their academic journey with a Bachelor of Engineering in Electronic Science and Technology from Xi’an University of Technology (Oct. 2005 – Jul. 2009). 🎓🔬💻
Experience
An accomplished researcher, this individual has made significant contributions at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. They began their journey as a Research Intern from July 2012 to December 2014, demonstrating exceptional talent that led to a position as an Assistant Researcher from December 2014 to December 2020. Subsequently, they advanced to Associate Researcher, serving from December 2020 to March 2024. Their work focuses on innovative research, enhancing the scientific community’s understanding in their field. 🌟🔬📚
Research Interests
Dr. Dr. Shao Cuiping specializes in system security, testability, and reliability of integrated circuits (ICs). Their research emphasizes enhancing the security of electronic systems against various threats while ensuring that ICs maintain high levels of testability and reliability throughout their lifecycle. Additionally, they explore heterogeneous chip optimization design, which integrates diverse technologies on a single chip for improved performance and efficiency. This innovative approach aims to advance the field of microelectronics, enabling the development of robust, secure, and efficient electronic systems. 🔒💻⚙️
Awards
Recognized as a high-level talent in Shenzhen City, this individual has earned significant accolades for their contributions to technology. They received the 2020 Science and Technology Progress Award of Guangdong Province (2nd prize) for designing trusted cryptographic chip technology and the 2020 Science and Technology Progress Award of Shenzhen City (1st prize) for security design and evaluation of cryptographic chips. Additionally, they won the 2019 Wu Wenjun Artificial Intelligence Science and Technology Award (3rd prize) for chip security technology. Their commitment to excellence is further demonstrated by six consecutive “Excellent Employee” awards and recognition from SIAT, including the “Energetic Rose Award” and seven Innovation Awards. 🌟🏆🔐
publication top notes
Data redundancy mitigation in V2X based collective perceptions
Heavy-ion microbeam fault injection into SRAM-based FPGA implementations of cryptographic circuits
An error location and correction method for memory based on data similarity analysis
Fast and automatic security test on cryptographic ICs against fault injection attacks based on design for security test
Cryptographic implementation of RSA for ion fault injection attack
Identifying Single-Event Transient Location Based on Compressed Sensing
Detecting fault injection attacks based on compressed sensing and integer linear programming
Probabilistic Model-Based Reinforcement Learning Unmanned Surface Vehicles Using Local Update Sparse Spectrum Approximation
Conclusion
Given Dr. Cuiping Shao’s outstanding research contributions, leadership in cutting-edge projects, and her commitment to advancing technology in electronic security and reliability, she is a deserving candidate for the Best Researcher Award. Her work not only pushes the boundaries of knowledge in her field but also has practical implications for the security and reliability of integrated circuits and autonomous systems, making her contributions both significant and impactful.