Company Filing History:
Years Active: 2022-2025
Title: Kevin Hooker: Innovator in Integrated Circuit Design
Introduction
Kevin Hooker is a prominent inventor based in Austin, TX, known for his contributions to the field of integrated circuit design. With a total of 6 patents to his name, Hooker has made significant advancements in the application of machine learning to circuit design.
Latest Patents
One of Hooker's latest patents is titled "Neural network based mask synthesis for integrated circuits." This innovative system utilizes machine learning models, specifically neural networks, to generate mask designs from circuit designs. The machine learning models focus on localized regions of the circuit design, taking input features that describe the circuit's neighborhood and producing an offset distance as output. This offset distance is then used to create features of the mask design, enhancing manufacturability by optimizing the circuit design polygon.
Another notable patent is "Enforcing mask synthesis consistency across random areas of integrated circuit chips." This system generates a mask for a circuit design while ensuring symmetry and consistency across various areas of the mask. By building a mask solutions database that maps circuit patterns to mask patterns, the system replaces circuit patterns with corresponding mask patterns while enforcing properties such as symmetry and similarity. This approach resolves conflicts that may arise when multiple masks are present within a region.
Career Highlights
Kevin Hooker is currently employed at Synopsys, Inc., where he continues to push the boundaries of integrated circuit technology. His work has been instrumental in advancing the capabilities of machine learning applications in this field.
Collaborations
Throughout his career, Hooker has collaborated with notable colleagues, including Thomas Christopher Cecil and Marco Guajardo. These partnerships have contributed to the innovative projects and patents that define his work.
Conclusion
Kevin Hooker stands out as a key figure in the realm of integrated circuit design, with a focus on leveraging machine learning to enhance manufacturability and design consistency. His contributions continue to shape the future of technology in this critical area.