Erlangen, Germany

Subrata Sinha

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.2

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2013-2014

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4 patents (USPTO):Explore Patents

Title: Subrata Sinha: Innovator in Medical Imaging and Computer Performance Optimization

Introduction

Subrata Sinha is a notable inventor based in Erlangen, Germany. He has made significant contributions to the fields of medical imaging and computer performance optimization. With a total of 4 patents to his name, Sinha's work has the potential to enhance the efficiency and effectiveness of medical diagnostics.

Latest Patents

One of Sinha's latest patents is a method and program product for producing medical findings based on medical image data. This invention addresses the need for a unified viewer device that allows different image data to be viewed simultaneously, facilitating the production of a comprehensive set of medical findings. Another significant patent focuses on an operating method for a computer that optimizes performance by grouping applications. This method allows the computer to manage applications more efficiently, improving overall processing capabilities.

Career Highlights

Sinha is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His role at Siemens has allowed him to work on innovative projects that bridge the gap between technology and healthcare. His expertise in medical imaging and computer science has positioned him as a valuable asset in his field.

Collaborations

Throughout his career, Sinha has collaborated with esteemed colleagues such as Karlheinz Dorn and Detlef Becker. These collaborations have fostered an environment of innovation and have contributed to the advancement of technology in medical imaging and computer performance.

Conclusion

Subrata Sinha's contributions to the fields of medical imaging and computer optimization demonstrate his commitment to innovation. His patents reflect a deep understanding of the challenges in these areas and offer practical solutions that can improve medical diagnostics and computer efficiency.

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