Savitha Ramasamy

Title: Savitha Ramasamy: Innovator in Electronic Design and Machine Learning

Introduction

Savitha Ramasamy is a prominent inventor based in Singapore, known for his contributions to electronic design and machine learning. With a total of 2 patents, he has made significant strides in developing methods that enhance performance prediction in electronic systems.

Latest Patents

One of Savitha's latest patents is titled "Method and system for predicting performance in electronic design based on machine learning." This innovative method utilizes at least one processor to predict performance data for electronic systems by employing a first machine learning model. The process involves providing a second machine learning model that generates new parameter values based on desired performance data. The method evaluates the input design parameters and generates new training data to improve the first machine learning model.

Another notable patent is "Self-assessing deep representational units." This invention includes a method, a computer-readable medium, and an apparatus for feature learning. The apparatus receives a data sample and calculates a reconstruction error based on the sample and the features of the learning model. It determines whether the reconstruction error meets specific thresholds to decide whether to add features or ignore the data sample.

Career Highlights

Savitha Ramasamy is currently employed at the Agency for Science, Technology and Research, where he continues to innovate in the field of electronic design and machine learning. His work focuses on enhancing the capabilities of machine learning models to predict and improve electronic system performance.

Collaborations

Savitha collaborates with talented individuals such as Raju Salahuddin and Rahul Dutta, contributing to a dynamic research environment that fosters innovation and technological advancement.

Conclusion

Savitha Ramasamy's work in electronic design and machine learning exemplifies the impact of innovative thinking in technology. His patents reflect a commitment to advancing the field and improving performance prediction methods.