Garner, NC, United States of America

Mohamed Maharsi


 

Average Co-Inventor Count = 4.4

ph-index = 3

Forward Citations = 24(Granted Patents)


Location History:

  • Raleigh, NC (US) (2008 - 2010)
  • Garner, NC (US) (2011 - 2012)

Company Filing History:


Years Active: 2008-2012

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4 patents (USPTO):Explore Patents

Title: Innovations of Mohamed Maharsi

Introduction

Mohamed Maharsi is an accomplished inventor based in Garner, NC (US), known for his significant contributions to the field of predictive maintenance and load forecasting in battery assemblies and electric distribution networks. With a total of four patents to his name, Maharsi has demonstrated a commitment to advancing technology through innovative solutions.

Latest Patents

Among his latest patents is a "System and method for predictive maintenance of a battery assembly using temporal signal processing." This technique involves monitoring parameters associated with a battery assembly to obtain samples, generating a temporal sequence of values, and analyzing this sequence to predict potential fault conditions. Another notable patent is the "Short-term load forecasting based capacity check for automated power restoration of electric distribution networks." This method utilizes load profiles and short-term estimations to forecast expected loads, aiding power restoration controllers in performing back-feed capacity checks.

Career Highlights

Throughout his career, Maharsi has worked with prominent companies such as ABB Technology AG and ABB Research Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the energy sector.

Collaborations

Maharsi has collaborated with talented individuals, including Vaibhav Deepak Donde and Zhenyuan Wang, enhancing the innovation process through teamwork and shared expertise.

Conclusion

Mohamed Maharsi's work exemplifies the spirit of innovation in technology, particularly in the areas of battery maintenance and energy distribution. His patents reflect a deep understanding of complex systems and a dedication to improving operational efficiency.

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