This inventor holds 1 USPTO granted patent. Top assignee: Lawrence Livermore National Security, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Deepak Rajan: Innovator in Sensor Networks
Introduction
Deepak Rajan is a notable inventor based in Livermore, California. He has made significant contributions to the field of sensor networks, particularly in identifying characteristics of physical systems. His innovative approach combines collaborative sensor networks with advanced computing techniques.
Latest Patents
Deepak Rajan holds a patent for the "Identification of a characteristic of a physical system based on collaborative sensor networks." This invention involves a node equipped with a sensor and a computing device that identifies the location of a source of a physical process. The node collects measurements from the physical process and recalculates parameters until a termination criterion is met. It collaborates with other nodes by receiving parameters of a probability distribution and gradients, generating new parameters, and sampling from a distribution of source locations. Ultimately, the generated parameters represent the probability distribution of the source location when the termination criterion is satisfied.
Career Highlights
Deepak Rajan is currently employed at Lawrence Livermore National Security, LLC. His work focuses on advancing technologies that enhance the capabilities of sensor networks. His expertise in this area has positioned him as a valuable asset in his field.
Collaborations
Some of Deepak's coworkers include Braden C. Soper and Ryan Alan Goldhahn. Their collaborative efforts contribute to the innovative projects at Lawrence Livermore National Security, LLC.
Conclusion
Deepak Rajan's contributions to sensor networks and his innovative patent demonstrate his commitment to advancing technology in this field. His work continues to influence the development of collaborative systems that enhance our understanding of physical processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
