San Jose, CA, United States of America

Renbin Peng

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignees: Syracuse University, Siemens Aktiengesellschaft. Active years: 2012-2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Renbin Peng. Retrieved from https://idiyas.com/inventor/renbin-peng-cd8bv3yp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 2.8

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Syracuse, NY (US) (2012)
  • San Jose, CA (US) (2014 - 2015)

Company Filing History:


Years Active: 2012-2015

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3 patents (USPTO):Explore Patents

Title: Renbin Peng: Innovator in Detection and Classification Technologies

Introduction

Renbin Peng is a notable inventor based in San Jose, CA, who has made significant contributions to the fields of detection and classification technologies. With a total of 3 patents, his work focuses on enhancing the performance of various detection systems through innovative methods.

Latest Patents

One of Renbin Peng's latest patents is titled "Methods of improving detectors and classifiers using optimized stochastic resonance noise." This invention provides an apparatus and method for improving the performance of threshold-based detectors or classifiers. It introduces a suitable dose of noise to image data, enhancing the probability of detecting at least one object without altering the parameters of the detectors or classifiers. Several stochastic resonance noise-based detection and classification enhancement schemes are presented, which can improve any algorithms and systems. The only requirement for implementing these schemes is the original input data and the output detection results of existing algorithms.

Another significant patent focuses on the "Optimization of multiple candidates in medical device or feature tracking." This invention optimizes possible locations of medical devices or features over time using a probability function. An iterative solution is employed to determine the maximum of the probability function, which helps in identifying the locations of medical devices or features. The invention also accounts for geometric relationships between devices, enhancing tracking accuracy.

Career Highlights

Renbin Peng has worked with prestigious organizations such as Syracuse University and Siemens Aktiengesellschaft. His experience in these institutions has allowed him to develop and refine his innovative ideas in detection and classification technologies.

Collaborations

Throughout his career, Renbin has collaborated with notable individuals, including Pramod K Varshney and Hao Chen. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Renbin Peng's innovative work in detection and classification technologies showcases his expertise and commitment to improving system performance. His patents reflect a deep understanding of the complexities involved in detection algorithms and medical device tracking.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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