This inventor holds 5 USPTO granted patents and 10 published patent applications. Top assignee: D2s, Inc.. Active years: 2025-2026.
Company Filing History:
Years Active: 2025-2026
Title: The Innovations of George Janac
Introduction
George Janac is an accomplished inventor based in Saratoga, CA. He has made significant contributions to the field of semiconductor design, particularly in the area of animation and prediction of overlap shapes in integrated circuit (IC) designs. His innovative approach leverages advanced machine learning techniques to enhance the accuracy and efficiency of semiconductor manufacturing processes.
Latest Patents
George Janac holds a patent for a method titled "Generating and display an animation of a predicted overlap shape in an IC design." This patent describes a method for computing and displaying the minimum overlap for semiconductor layer interfaces, such as metal-via and metal-contact. The method utilizes a machine-trained network, such as a trained neural network, to quickly and accurately infer the contours for manufactured shapes across various process variations. Additionally, it models the semiconductor process manufacturing layer-to-layer misalignment. The combined information from the machine-trained network and modeling is used to compute the minimum overlap shapes at multiple layer interfaces. This method ultimately allows for an accurate calculation of via or contact resistance.
Career Highlights
George Janac is currently employed at D2S, Inc., where he continues to push the boundaries of semiconductor design and manufacturing. His work has been instrumental in improving the efficiency and reliability of IC designs, making significant impacts in the industry.
Collaborations
Throughout his career, George has collaborated with notable professionals in the field, including Donald Oriordan and Akira Fujimura. These collaborations have further enriched his work and contributed to advancements in semiconductor technology.
Conclusion
George Janac's innovative contributions to semiconductor design exemplify the importance of integrating machine learning with traditional manufacturing processes. His patent and ongoing work at D2S, Inc. highlight his commitment to advancing technology in the semiconductor industry.