This inventor holds 3 USPTO granted patents. Top assignee: Nec Corporation. Active years: 2021-2022.
Company Filing History:
Years Active: 2021-2022
Title: Innovations of Bin Nie
Introduction
Bin Nie is an accomplished inventor based in Williamsburg, VA (US). He has made significant contributions to the field of anomaly detection and temporal discrete event analytics. With a total of 3 patents, his work focuses on enhancing the reliability and efficiency of systems through innovative methodologies.
Latest Patents
One of Bin Nie's latest patents is titled "Complex system anomaly detection based on discrete event sequences." This method detects anomalies in systems equipped with sensors that collect multivariate sensor data, including discrete event sequences. It utilizes a Neural Machine Translation (NMT) model to determine pairwise relationships among sensors based on the collected data. The method translates sentences formed from discrete variables into a format that quantifies the strength of relationships between sensor pairs. Additionally, it performs corrective actions in response to detected anomalies.
Another notable patent is the "Temporal discrete event analytics system." This system evaluates computer systems using temporal discrete event analytics. It generates sentences from discrete event sequences for multiple sensors and builds a sensor relationship network based on these sentences. The network is then analyzed to determine relationships between sensors, enabling effective fault diagnosis.
Career Highlights
Bin Nie is currently employed at NEC Corporation, where he continues to develop innovative solutions in his field. His work has garnered attention for its practical applications in improving system performance and reliability.
Collaborations
Throughout his career, Bin Nie has collaborated with notable colleagues, including Jianwu Xu and Haifeng Chen. These partnerships have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Bin Nie's contributions to the field of anomaly detection and temporal discrete event analytics demonstrate his innovative spirit and commitment to enhancing technology. His patents reflect a deep understanding of complex systems and a dedication to improving their functionality.