This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Taiwan Semiconductor Manufacturing Comp. Ltd., TSMC Nanjing Company, Limited. 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: Meng Tai: Semiconductor Design and Voltage-Drop Prediction
Introduction
Meng Tai is an inventor based in Nanjing, China, whose patent work addresses static voltage-drop prediction in semiconductor-device design. His listed patent focuses on using machine learning and floorplan data to support design analysis and bump assignment.
Latest Patents
Tai is associated with 1 patent: “Static Voltage Drop Prediction System and Method.” The method receives floorplan data for a semiconductor device and uses a machine-learning model to generate an initial static voltage-drop prediction. It then compares the floorplan data with training data to determine a similarity value, applies a corresponding compensation value from a mapping table, and produces an adjusted prediction. Finally, the system compares that result with predetermined voltage-drop values to generate bump-assignment data for updating the floorplan.
Career Highlights
Tai’s listed company affiliations include Taiwan Semiconductor Manufacturing Company Limited and TSMC Nanjing Company, Limited. His patent reflects work on applying machine learning and data-driven compensation to semiconductor floorplanning.
Collaborations
Tai’s listed coworker is ShiWen Tan. The available information identifies this professional connection but does not specify their particular projects or roles.
Conclusion
Meng Tai’s patent presents a machine-learning-based approach to predicting static voltage drop and informing bump assignments, connecting semiconductor design analysis with floorplan updates.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile