Rupayan Chakraborty

Title: Innovations of Rupayan Chakraborty

Introduction

Rupayan Chakraborty is an accomplished inventor based in Thane, India. He has made significant contributions to the field of machine learning and data classification. With a total of 2 patents, his work addresses critical challenges in statistical pattern recognition and data classification.

Latest Patents

Rupayan's latest patents include "Automatic generation of synthetic samples using dynamic deep autoencoders" and "Simultaneous multi-class learning for data classification." The first patent focuses on generating synthetic samples through automatic transformation using Deep Autoencoders (DAE). This innovation is particularly valuable in low-resource scenarios where creating annotated databases can be challenging and costly. The DAE is trained using various combinations of classes formed from limited samples, allowing for the generation of new samples based on input from one class.

The second patent presents a method to train classifiers using multiple simultaneous samples to tackle the class imbalance problem in discriminative classifiers. This approach modifies the architecture of the classifier to handle a modified dataset representation, ensuring that the input layer can accept multiple samples. The output layer is designed to accommodate the increased number of classes, thereby enhancing the classifier's effectiveness in learning from low-resourced data.

Career Highlights

Rupayan Chakraborty is currently employed at Tata Consultancy Services Limited, where he applies his expertise in machine learning and data analysis. His innovative work has positioned him as a key contributor in his field, driving advancements in technology and research.

Collaborations

Rupayan has collaborated with notable colleagues, including Sunil Kumar Kopparapu and Sri Harsha Dumpala. These collaborations have further enriched his research and development efforts.

Conclusion

Rupayan Chakraborty's contributions to machine learning and data classification through his patents demonstrate his commitment to innovation and problem-solving in technology. His work continues to influence the field and pave the way for future advancements.