Mariem Boujelbene

Title: Mariem Boujelbene: Innovator in Deep Learning for Online Safety

Introduction

Mariem Boujelbene is a prominent inventor based in Louisville, KY (US). She has made significant contributions to the field of deep learning, particularly in enhancing user safety in online networks. Her innovative approach focuses on detecting abusive user activity, which is crucial in today's digital landscape.

Latest Patents

Mariem holds a patent for her invention titled "Deep learning using activity graph to detect abusive user activity in online networks." This patent introduces a deep learning algorithm that operates on a transition matrix formed from user activities in an online network. The transition matrix records the frequencies of transitions between various paths of user activity, such as logging in and viewing profiles. This technology aims to improve the detection of abusive behaviors by analyzing user interactions.

Career Highlights

Mariem is currently employed at Microsoft Technology Licensing, LLC, where she continues to develop her innovative ideas. Her work is instrumental in advancing the safety and security of online platforms. With her expertise in deep learning, she is paving the way for more effective monitoring of user activities.

Collaborations

Throughout her career, Mariem has collaborated with talented individuals such as Yi Wu and James R Verbus. These partnerships have allowed her to enhance her research and contribute to the development of cutting-edge technologies.

Conclusion

Mariem Boujelbene is a trailblazer in the field of deep learning, with a focus on user safety in online networks. Her patent and work at Microsoft Technology Licensing, LLC highlight her commitment to innovation and the protection of users in the digital space.