Taipei, Taiwan

Zong-Han Tsai


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: **Innovator Spotlight: Zong-Han Tsai**

Introduction

Zong-Han Tsai, based in New Taipei, Taiwan, is an accomplished inventor recognized for his contributions to electronic devices and methodologies in data processing. He has secured a patent that showcases his innovative approach to handling complex body-related data.

Latest Patents

Zong-Han Tsai holds a patent for a novel method and electronic device designed for selecting influence indicators using an automatic mechanism. This innovative patent includes a process where raw data, encompassing a body-related variable and various corresponding indicators, is meticulously analyzed. The methodology involves inputting these variables into validation models that generate ranking data, enabling the calculation of the importance of the indicators. Ultimately, this patent advances the field of data analysis by determining influence indicators based on their correlation with critical body-related variables.

Career Highlights

Tsai has garnered experience at notable organizations, including Acer Inc. and National Yang-Ming University. His roles in these institutions have contributed to his expertise in electronics and research, further solidifying his position as an influential inventor in the tech industry.

Collaborations

He has collaborated with esteemed colleagues such as Tsung-Hsien Tsai and Liang-Kung Chen. Their joint efforts in research and development have fostered innovations that impact their respective fields. The collaborative spirit among these inventors exemplifies the power of teamwork in pursuing groundbreaking technological advancements.

Conclusion

Zong-Han Tsai's contributions to innovation through his patent and collaborative work underscore his role as a significant figure in the domain of electronic devices and data analysis. His methodologies not only enhance understanding of body-related variables but also pave the way for future innovations in technology and health sciences.

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