Austin, TX, United States of America

Tuhin Mahmud

USPTO Granted Patents = 10 

Average Co-Inventor Count = 5.3

ph-index = 5

Forward Citations = 53(Granted Patents)


Company Filing History:


Years Active: 2008-2023

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):

Title: Innovations of Tuhin Mahmud

Introduction

Tuhin Mahmud is a prominent inventor based in Austin, TX, known for his significant contributions to the field of integrated circuit development. With a total of 10 patents to his name, Mahmud has made remarkable strides in utilizing machine learning to enhance the performance and efficiency of memory arrays.

Latest Patents

One of Mahmud's latest patents focuses on integrated circuit development using machine learning-based prediction of power, performance, and area. This invention involves obtaining feature values that define the architecture design of a memory array. A machine learning model is then implemented to predict the power, performance, and area (PPA) of the memory array based on these features. The predicted PPA is assessed against predefined goals, leading to the finalization and fabrication of an integrated circuit that meets these criteria. Another notable patent addresses clustering simulation failures for triage and debugging. This invention includes methods and systems for processing simulation data, generating tokens for simulation failure files, and normalizing token scores to create groups for effective analysis and debugging.

Career Highlights

Tuhin Mahmud is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions in the realm of integrated circuits and machine learning applications.

Collaborations

Throughout his career, Mahmud has collaborated with notable colleagues, including Charles Jay Alpert and Stephen Thomas Quay. These collaborations have contributed to the advancement of technology in their respective fields.

Conclusion

Tuhin Mahmud's innovative work in integrated circuit development and machine learning has positioned him as a key figure in the technology sector. His patents reflect a commitment to enhancing performance and efficiency in electronic design.

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