Chandram Kotturi

Title: Chandram Kotturi: Machine Learning for Netlist Design

Introduction

Chandram Kotturi is an inventor based in San Diego, California. His patent work includes applying machine learning to the evaluation of electronic circuit designs.

Latest Patents

Kotturi is associated with 1 patent, titled “Machine Learning for Netlist Design.” The patent describes techniques for evaluating an electrical circuit’s netlist design. It uses a directed graph to represent the circuit’s electronic components and their connections, selects a node corresponding to a register, and generates a subgraph representing the register’s connectivity cone. A trained machine-learning encoder then produces a functional embedding of that subgraph, which is used to help predict a performance characteristic of the netlist design.

Career Highlights

Kotturi is associated with Qualcomm Incorporated. His patent reflects work at the intersection of machine learning and electronic circuit design, particularly in predicting design performance from netlist structure.

Collaborations

Kotturi’s listed coworker is Gokce Sarar. The patent information provided does not specify the coworker’s role or the nature of their collaboration.

Conclusion

Chandram Kotturi’s patent highlights an approach that uses machine learning to analyze circuit connectivity and predict netlist performance, connecting his inventive work with Qualcomm Incorporated.