Razieh Abbasi Ghalehtaki

Title: Innovator Spotlight: Razieh Abbasi Ghalehtaki

Introduction

Razieh Abbasi Ghalehtaki is a prominent inventor based in Québec, Canada. She has made significant contributions to the field of data analysis and machine learning. Her innovative work focuses on detecting and explaining anomalies in data, which is crucial for various applications in technology and research.

Latest Patents

Razieh holds a patent for a "Method and apparatus for detecting and explaining anomalies." This invention utilizes an encoder-decoder machine learning model to analyze data from an environment. The method involves determining thresholds for various features based on reconstruction errors during the model's training phase. By identifying anomalies in data samples, her invention enhances the understanding of underlying issues in data sets.

Career Highlights

Razieh Abbasi Ghalehtaki is associated with Telefonaktiebolaget Lm Ericsson (publ), a leading telecommunications company. Her role involves applying her expertise in machine learning to develop advanced solutions for data analysis. With her innovative approach, she contributes to the company's mission of improving communication technologies.

Collaborations

Razieh has collaborated with notable colleagues, including Fetahi Wuhib and Amin Ebrahimzadeh. These partnerships have fostered a creative environment that encourages the exchange of ideas and enhances the development of innovative solutions.

Conclusion

Razieh Abbasi Ghalehtaki is a trailblazer in the field of anomaly detection and machine learning. Her contributions not only advance technology but also pave the way for future innovations in data analysis.