ShiWen Tan

Title: ShiWen Tan and Machine-Learning-Based Voltage-Drop Prediction.

Introduction

ShiWen Tan is an inventor associated with Nanjing, China, and semiconductor technology. His listed patent work concerns predicting static voltage drop in semiconductor-device floorplans. The supplied information lists 1 patent and identifies Taiwan Semiconductor Manufacturing Company, Ltd., and TSMC Nanjing Company, Limited, among his professional affiliations.

Latest Patents

Tan’s listed patent is “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 compares the floorplan data with training data to calculate a similarity value, then uses that value to select a compensation value from a mapping table and produce an adjusted prediction. Finally, the system compares the adjusted result with predetermined voltage-drop values and generates bump-assignment data to update the floorplan.

Career Highlights

The patent reflects work at the intersection of machine learning, semiconductor design, and power-integrity analysis. Its approach combines model-based prediction with similarity-based compensation to inform floorplan updates.

Collaborations

The supplied information names Taiwan Semiconductor Manufacturing Company, Ltd., and TSMC Nanjing Company, Limited, as companies Tan worked with. Meng Tai is identified as a coworker.

Conclusion

ShiWen Tan’s listed invention applies machine learning and data-driven compensation to predict static voltage drop and support semiconductor floorplan refinement.