This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Inventor Te Ken: Pioneering Anomaly Detection in Austin
Introduction
Te Ken, a distinguished inventor based in Austin, Texas, has made significant contributions to the field of anomaly detection. With a patent to his name, he has developed innovative techniques that enhance the evaluation of anomaly detection models using aggregated time-series signals. This advancement not only showcases his expertise but also contributes to the growing landscape of data analysis technologies.
Latest Patents
Te Ken's remarkable patent is titled "Evaluation framework for anomaly detection using aggregated time-series signals." This innovative framework encompasses a series of techniques designed to evaluate one or more anomaly detection models. The method involves obtaining discrete transactions, determining feature values, and applying these values to generate anomaly scores for each transaction. By creating a reduced dataset from these scores, the patent proposes aggregating the transactions into a comprehensive time-series signal. This signal is then used to train a forecast algorithm, which generates predictive insights and calculates performance metrics to inform automated actions.
Career Highlights
Te Ken currently works with Dell Products Inc., where he continues to advance his research in anomaly detection and data analytics. His work at Dell enables him to collaborate with a team of talented professionals and contribute to cutting-edge technologies that drive innovation in the tech industry. With one patent under his belt, Te's focus remains on refining and expanding his contributions to this critical field.
Collaborations
Within Dell Products Inc., Te Ken collaborates with notable colleagues such as Saila Parthasarathy and Parikshit Verma, who share his passion for innovation and technology. Together, they work towards creating solutions that harness data effectively, showcasing the importance of teamwork in driving forward innovative ideas.
Conclusion
In conclusion, Te Ken stands out as a remarkable inventor in the realm of anomaly detection. His patented framework not only demonstrates his inventive spirit but also reflects the potential for future advancements in data analytics. As he continues his work with Dell Products Inc., the contributions of Te Ken promise to shape the future of technology in significant ways.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
