Chandler, AZ, United States of America

Guiyun Bai

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Guiyun Bai in Silicon Photonic Systems

Introduction

Guiyun Bai is an accomplished inventor based in Chandler, AZ (US). He has made significant contributions to the field of light detection and ranging (LIDAR) systems. His innovative work focuses on the development of silicon photonic systems that enhance LIDAR applications.

Latest Patents

Guiyun Bai holds 1 patent for his invention titled "Silicon photonic systems for LIDAR applications." This patent discloses advanced LIDAR systems and methods for their manufacturing. The systems include microelectronics packages that consist of a chassis, an insert, a photonic integrated circuit (PIC), and a lid. The chassis defines an opening, while the insert is designed to fit within this opening and is made from a thermally conductive material. The PIC is affixed to the insert, and the lid connects to the chassis, creating a cavity that encases the PIC. Both the insert and the lid establish thermally conductive pathways away from the PIC, enhancing the system's efficiency.

Career Highlights

Guiyun Bai is currently employed at Intel Corporation, where he continues to push the boundaries of technology through his innovative work. His expertise in silicon photonics plays a crucial role in the advancement of LIDAR systems, which have applications in various fields, including autonomous vehicles and environmental monitoring.

Collaborations

Guiyun Bai collaborates with talented individuals in his field, including Eleanor Patricia Paras Rabadam and Israel Petronius. These collaborations foster an environment of innovation and creativity, leading to groundbreaking advancements in technology.

Conclusion

Guiyun Bai's contributions to silicon photonic systems for LIDAR applications exemplify the impact of innovation in technology. His work not only enhances the capabilities of LIDAR systems but also paves the way for future advancements in the field.

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