Garen Khanoyan

Title: Garen Khanoyan: Innovator in Sensor Data Multiplexing

Introduction

Garen Khanoyan is a notable inventor based in Foster City, California. He has made significant contributions to the field of sensor technology, particularly in the area of multiplexing sensor data for vehicle systems. His innovative approach has the potential to enhance the efficiency and effectiveness of data transmission in automotive applications.

Latest Patents

Garen holds a patent for a system titled "Multiplexing Sensor Data." This invention relates to a simulation system that multiplexes sensor data from multiple sensors. It outputs the multiplexed sensor data in channels corresponding to the various sensors at appropriate times based on encoded timestamp data. The multiplexer receives sensor datasets from different sensors, encodes them with timestamp and supplemental data, and generates an encoded dataset. This dataset is then transmitted to a demultiplexer, which separates the encoded dataset into channels corresponding to the original sensors. The demultiplexer outputs the datasets at times indicated in the timestamp data, ensuring timely and accurate data delivery.

Career Highlights

Garen is currently employed at Zoox, Inc., a company focused on developing autonomous vehicle technology. His work at Zoox involves leveraging his expertise in sensor data multiplexing to contribute to the advancement of self-driving vehicles. His innovative solutions are integral to the company's mission of creating safe and efficient transportation systems.

Collaborations

Garen collaborates with talented professionals in his field, including Turhan Karadeniz and Ryan McMichael. These collaborations foster a creative environment that encourages the development of cutting-edge technologies in the automotive sector.

Conclusion

Garen Khanoyan's contributions to sensor data multiplexing represent a significant advancement in automotive technology. His innovative patent and work at Zoox, Inc. highlight his commitment to enhancing vehicle systems through effective data management.