Shenzhen, China

Zhijian Dai

This inventor holds 1 USPTO granted patent. Top assignee: Uestc (Shenzhen) Advanced Research Institute. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhijian Dai. Retrieved from https://idiyas.com/inventor/zhijian-dai

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Zhijian Dai: Innovator in Glitch Detection Technology

Introduction

Zhijian Dai is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of technology, particularly in the area of glitch detection at high sampling rates. His innovative approach has the potential to enhance data processing and identification systems.

Latest Patents

Zhijian Dai holds a patent for a "Method and system for detecting glitch at high sampling rate." This patent outlines methods for detecting glitches in data at high sampling rates. The process involves acquiring to-be-identified data, processing it to obtain normal sampling data, and performing glitch identification to determine the glitch position within the normal sampling data. The system he developed includes an acquisition unit and a glitch identification unit, which work together to enhance the accuracy of glitch detection.

Career Highlights

Zhijian Dai is associated with the Uestc (Shenzhen) Advanced Research Institute, where he continues to push the boundaries of technology. His work focuses on improving data integrity and reliability through innovative methods and systems.

Collaborations

Zhijian has collaborated with notable colleagues, including Wanyu Yang and Jie Chen. Their combined expertise contributes to the advancement of research and development in their field.

Conclusion

Zhijian Dai's contributions to glitch detection technology exemplify the impact of innovative thinking in the tech industry. His work not only addresses current challenges but also paves the way for future advancements in data processing.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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