Sudipto Guha

Title: Sudipto Guha: Innovator in Anomaly Detection Technologies

Introduction

Sudipto Guha is a prominent inventor based in Jersey City, NJ (US), known for his significant contributions to the field of anomaly detection. With a total of six patents to his name, Guha has made strides in developing innovative techniques that enhance data analysis and processing.

Latest Patents

Among his latest patents, one notable invention is focused on outlier detection for streaming data. This patent describes a method where random cut trees are generated based on samples from a baseline set of data records. The technique involves an iterative splitting method, selecting attributes based on their value range. An outlier score is determined for newly-received data records without modifying the existing random cut tree. Another significant patent addresses anomaly detection with feedback. This technique involves receiving unlabeled data points from an input stream and performing anomaly detection using an engine. The process includes pre-processing the data points, classifying them, and providing feedback to improve the anomaly detection engine based on the results.

Career Highlights

Sudipto Guha is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop advanced technologies in data processing. His work has been instrumental in enhancing the capabilities of anomaly detection systems, making them more efficient and reliable.

Collaborations

Guha collaborates with talented individuals in his field, including coworkers Nina Mishra and Daniel Blick. Their combined expertise contributes to the advancement of technologies that address complex data challenges.

Conclusion

Sudipto Guha's work in anomaly detection and data analysis showcases his innovative spirit and dedication to improving technology. His patents reflect a commitment to enhancing the understanding and processing of data in real-time applications.