San Jose, CA, United States of America

Niranjan Abhijeet Mirashi


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 Niranjan Abhijeet Mirashi in Electric Vehicle Charging Optimization

Introduction

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

Latest Patents

Niranjan holds 1 patent for his invention titled "Electric vehicle charging optimization based on predictive analytics utilizing machine learning." This patent describes a method for managing charging resources of a charging system for PEVs. The system includes a central recording center with a tracking database. The method initiates a charging session for a first PEV when it is plugged into a charging station. The first PEV is linked to a user and a profile in the tracking database. Charging session data is monitored and stored during the session, and a machine learning model is generated based on collective charging data. This model predicts the charge completion time for the first PEV.

Career Highlights

Niranjan is currently employed at International Business Machines Corporation, commonly known as IBM. His role involves leveraging his expertise in machine learning and predictive analytics to enhance electric vehicle charging systems. His innovative approach has the potential to significantly improve the efficiency of charging processes for electric vehicles.

Collaborations

Niranjan has collaborated with notable colleagues, including Ronald Jason Barber and Chad Eric DeLuca. Their combined expertise contributes to the advancement of electric vehicle technologies and optimization methods.

Conclusion

Niranjan Abhijeet Mirashi's work in electric vehicle charging optimization showcases his commitment to innovation in the automotive industry. His contributions are paving the way for more efficient and intelligent charging solutions for electric vehicles.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…