Ning Xia

Title: Ning Xia: Innovator in Anomaly Detection Technologies

Introduction

Ning Xia is a prominent inventor based in Plainsboro, NJ (US), known for his contributions to the field of anomaly detection using advanced deep learning techniques. With a total of 2 patents, he has made significant strides in developing methods and systems that enhance the reliability of cyber-physical systems.

Latest Patents

Ning Xia's latest patents include innovative technologies aimed at detecting and correcting anomalies in time series data. The first patent, titled "Anomaly detection using deep learning on time series data," outlines methods for comparing new time series segments generated by sensors to previous segments. This comparison generates a similarity measure that helps determine if the new segment represents anomalous behavior. If an anomaly is detected, corrective actions are performed on the cyber-physical system to rectify the issue. The second patent, "Time series retrieval for analyzing and correcting system status," describes a process for generating a joint binary embedding of historical time series sequences. This method allows for the identification of anomalous behavior based on the similarities between recent and historical data, leading to effective corrective actions.

Career Highlights

Ning Xia is currently employed at NEC Corporation, where he continues to push the boundaries of technology in his field. His work focuses on enhancing the capabilities of systems that rely on time series data, making them more robust against anomalies.

Collaborations

Ning collaborates with talented individuals such as Dongjin Song and Haifeng Chen, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Ning Xia's work in anomaly detection represents a significant advancement in the field of cyber-physical systems. His innovative patents and collaborative efforts position him as a key figure in the ongoing development of reliable technologies.