Company Filing History:
Years Active: 2020-2021
Title: Luan V Nguyen: Innovator in Privacy-Aware Signal Monitoring Systems
Introduction
Luan V Nguyen is a notable inventor based in Torrance, California. He has made significant contributions to the field of signal monitoring systems, particularly focusing on privacy-aware technologies. With a total of two patents to his name, Nguyen is recognized for his innovative approaches to data privacy in vehicular systems.
Latest Patents
Nguyen's latest patents include advanced systems and methods for monitoring time-series data in relation to a temporal logic specification regarding the expected behavior of systems, such as vehicles. These systems ensure that time-series data and specified threshold values are encrypted and analyzed without the need to decrypt the data, thereby maintaining user privacy. The encryption process utilizes an order-preserving encryption scheme, allowing for effective analysis through either batch processing or continuous processing architectures. This innovative approach enables the use of historical time-series data to determine if currently monitored data meets the specified temporal logic requirements.
Career Highlights
Luan V Nguyen is currently employed at Toyota Motor Engineering & Manufacturing North America, Inc. His work at Toyota emphasizes the importance of privacy in automotive technologies, aligning with the growing demand for secure data handling in modern vehicles. His contributions have positioned him as a key player in the development of privacy-aware systems.
Collaborations
Nguyen has collaborated with notable colleagues such as Jyotirmoy Vinay Deshmukh and James P Kapinski. These collaborations have further enhanced the innovative capabilities within his projects, fostering a creative environment for developing cutting-edge technologies.
Conclusion
Luan V Nguyen stands out as an influential inventor in the realm of privacy-aware signal monitoring systems. His work not only advances technological capabilities but also prioritizes user privacy in an increasingly data-driven world.