Plainsboro, NJ, United States of America

Mohammed Shariff


Average Co-Inventor Count = 12.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2012-2014

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2 patents (USPTO):Explore Patents

Title: Innovations by Mohammed Shariff in Predictive Maintenance

Introduction

Mohammed Shariff is an accomplished inventor based in Plainsboro, NJ (US). He has made significant contributions to the field of communication networks, particularly in predictive maintenance technologies. With a total of two patents to his name, Shariff's work focuses on enhancing the reliability and efficiency of network systems.

Latest Patents

One of Mohammed Shariff's latest patents is titled "Method and apparatus for providing signature based predictive maintenance in communication networks." This invention involves a method and apparatus for collecting and processing line performance data transmitted over cables, such as Y-cables. The innovative approach applies specific performance measurements and time intervals to generate a 'signature' that indicates deteriorating performance. Once a 'signature' is detected, the system proactively generates a trouble ticket to dispatch maintenance staff for necessary repairs, thereby streamlining the predictive maintenance process.

Career Highlights

Shariff is currently associated with AT&T Intellectual Property II, L.P., where he continues to develop and refine his innovative ideas. His work has been instrumental in advancing the field of network maintenance, ensuring that communication systems operate smoothly and efficiently.

Collaborations

Throughout his career, Mohammed Shariff has collaborated with notable colleagues, including David H. Lu and Hossein Eslambolchi. These partnerships have contributed to the successful development of his patents and innovations.

Conclusion

In summary, Mohammed Shariff is a notable inventor whose work in predictive maintenance has the potential to significantly improve communication networks. His innovative methods and collaborative efforts continue to shape the future of network reliability and efficiency.

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