Singapore, Singapore

Raju Salahuddin

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Agency for Science, Technology and Research. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Raju Salahuddin. Retrieved from https://idiyas.com/inventor/raju-salahuddin

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Raju Salahuddin: Innovator in Electronic Design Performance Prediction

Introduction

Raju Salahuddin is a prominent inventor based in Singapore, known for his innovative contributions to electronic design. He has developed a unique method and system for predicting performance in electronic design using machine learning techniques. His work is significant in enhancing the efficiency and accuracy of electronic systems.

Latest Patents

Raju Salahuddin holds a patent for a method and system for predicting performance in electronic design based on machine learning. This patent outlines a comprehensive approach that includes providing machine learning models to predict performance data and generate new parameter values based on desired performance outcomes. The method involves evaluating input design parameters and training the machine learning model with new training data to improve prediction accuracy.

Career Highlights

Raju Salahuddin is affiliated with the Agency for Science, Technology and Research, where he applies his expertise in machine learning to advance electronic design methodologies. His innovative work has positioned him as a key figure in the field of electronic engineering.

Collaborations

Raju collaborates with talented individuals such as Kevin Tshun Chuan Chai and Chuan Sheng Foo, contributing to a dynamic research environment that fosters innovation and development in electronic design.

Conclusion

Raju Salahuddin's contributions to electronic design through his patented methods demonstrate the potential of machine learning in enhancing performance prediction. His work continues to influence the field and inspire future innovations.

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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