Location History:
- Moutnain View, CA (US) (2009)
- Mountain View, CA (US) (2016)
- Bedford, NH (US) (2016 - 2021)
- San Jose, CA (US) (2021 - 2023)
Company Filing History:
Years Active: 2009-2023
Title: Innovations by Fernando Crespo Sanchez
Introduction
Fernando Crespo Sanchez is a notable inventor based in San Jose, CA, with a remarkable portfolio of 11 patents. His work primarily focuses on enhancing data distribution methods in real-time applications, showcasing his expertise in the field of data communication.
Latest Patents
Among his latest patents is a method for transparent zero-copy distribution of data to DDS applications. This innovative method allows for efficient data sample distribution between applications running on the same node, utilizing the Object Management Group (OMG) Data Distribution Service (DDS) and Real-Time Publish Subscribe (RTPS) protocols. The invention significantly reduces communication latency, making it constant and independent of data size for applications within a single node. Another significant patent involves a language binding for DDS types that enables the publishing and receiving of data without the need for marshaling. This method minimizes the number of copies required to send data samples, enhancing the efficiency of data communication in systems using DDS and RTPS protocols.
Career Highlights
Fernando Crespo Sanchez is currently employed at Real-Time Innovations, Inc., where he continues to contribute to advancements in data distribution technologies. His innovative approaches have positioned him as a key figure in the field, driving improvements in real-time data communication.
Collaborations
Throughout his career, Fernando has collaborated with esteemed colleagues such as Gerardo Pardo-Castellote and Harishkumar Umayi Kalyanaramudu, further enriching his contributions to the industry.
Conclusion
Fernando Crespo Sanchez's work exemplifies the impact of innovative thinking in the realm of data distribution technologies. His patents not only enhance communication efficiency but also pave the way for future advancements in real-time applications.