San Jose, CA, United States of America

Saisujit Madiraju


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Innovations by Saisujit Madiraju

Introduction

Saisujit Madiraju is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of electric vehicle technology. His innovative approach focuses on optimizing charging systems for plug-in electric vehicles (PEVs) through predictive analytics and machine learning.

Latest Patents

Madiraju holds a patent for a method titled "Electric vehicle charging optimization based on predictive analytics utilizing machine learning." This patent describes a system for managing charging resources of a charging system for PEVs. The method involves initiating a charging session when a PEV is plugged into a charging station. The system tracks the charging session in a database, associating it with the user and the PEV profile. During the charging session, data is monitored and stored, allowing for the generation of a machine learning model based on collective charging data. This model predicts the charge completion time for the PEV, enhancing the efficiency of the charging process. He has 1 patent to his name.

Career Highlights

Madiraju is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM involves leveraging advanced technologies to improve electric vehicle charging systems. His innovative contributions have positioned him as a key player in the development of smart charging solutions.

Collaborations

Madiraju has collaborated with notable colleagues, including Ronald Jason Barber and Chad Eric DeLuca. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Saisujit Madiraju is a pioneering inventor whose work in electric vehicle charging optimization showcases the potential of machine learning in enhancing technology. His contributions are paving the way for more efficient and intelligent charging systems for electric vehicles.

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