This inventor holds 1 USPTO granted patent. Top assignee: Mentor Graphics Corporation. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Innovations of Joshua Adkins in Machine Learning and Circuit Design
Introduction
Joshua Adkins is an accomplished inventor based in Salem, Oregon. He has made significant contributions to the field of circuit design and verification through his innovative work in machine learning. His expertise has led to the development of a unique patent that addresses challenges in parasitic extraction automation.
Latest Patents
Joshua Adkins holds a patent for a "Machine learning-based parasitic extraction automation for circuit design and verification." This application discloses a computing system that implements a parasitic extraction tool to generate parasitic netlists from test cases, including test layout models of integrated circuit structures. The system determines values for scaling coefficients that, when utilized by the parasitic extraction tool, allow differences between the parasitic netlists and the reference netlists to fall below threshold levels. The determination of these scaling coefficients is performed by iteratively adjusting their values based on the differences observed. This innovative approach ensures that the generated parasitic netlists maintain a high level of accuracy in comparison to the reference netlists.
Career Highlights
Joshua Adkins is currently employed at Mentor Graphics Corporation, where he continues to push the boundaries of technology in circuit design. His work has been instrumental in enhancing the efficiency and accuracy of parasitic extraction processes. With a focus on integrating machine learning techniques, he has positioned himself as a key player in the field.
Collaborations
Joshua has collaborated with notable colleagues, including Vasileios Kourkoulos and Rengjing Zhang. Their combined expertise has contributed to the advancement of innovative solutions in circuit design and verification.
Conclusion
Joshua Adkins is a pioneering inventor whose work in machine learning and circuit design has led to significant advancements in the field. His patent on parasitic extraction automation exemplifies his commitment to innovation and excellence.