Company Filing History:
Years Active: 2004-2016
Title: Rajendran Panda: Innovator in Circuit Optimization and Graph Theory
Introduction
Rajendran Panda is a notable inventor based in Round Rock, TX (US). He has made significant contributions to the fields of circuit optimization and graph theory, holding a total of 9 patents. His innovative methods have advanced the way circuits are simulated and optimized, showcasing his expertise in electrical engineering.
Latest Patents
One of Rajendran Panda's latest patents is titled "Method for estimation of delays and slews during circuit optimization." This method involves simulating a circuit by determining parasitic circuit elements and operational parameters. A model of these parasitic elements is generated, allowing for the simulation of the circuit to assess its performance level. If the performance does not meet the desired goals, modifications to active circuit elements can be made accordingly.
Another significant patent is the "Method and apparatus for minimum cost cycle removal from a directed graph." This system identifies cycles within a directed graph by assigning integer values to vertices and comparing them. It determines which edges can be removed to minimize the cost of breaking cycles, generating a linear cost function to achieve this goal.
Career Highlights
Rajendran Panda has worked with prominent companies such as Freescale Semiconductor, Inc. and Oracle International Corporation. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology.
Collaborations
Throughout his career, Rajendran has collaborated with esteemed colleagues, including David Theodore Blaauw and Vladimir P. Zolotov. These partnerships have fostered an environment of innovation and creativity, leading to the development of groundbreaking technologies.
Conclusion
Rajendran Panda's contributions to circuit optimization and graph theory exemplify his dedication to innovation. His patents reflect a deep understanding of complex systems and a commitment to improving technological processes. His work continues to influence the field and inspire future advancements.