Nanjing, China

Meng Tai

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.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Meng Tai. Retrieved from https://idiyas.com/inventor/meng-tai

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…