Yasin Silva

Title: Yasin Silva: Innovator in Cyberbullying Detection

Introduction

Yasin Silva is an accomplished inventor based in Glendale, Arizona. He has made significant contributions to the field of cyberbullying detection through his innovative patent. His work focuses on developing systems that can effectively identify instances of cyberbullying using advanced computational methods.

Latest Patents

Yasin Silva holds a patent for "Systems and methods for unsupervised cyberbullying detection via time-informed Gaussian mixture model." This patent describes a computer-implemented framework designed for cyberbullying detection. The system comprises two main components: a representation learning network that encodes social media sessions by utilizing multi-modal features such as text, network, and time, and a multi-task learning network that fits comment inter-arrival times while estimating the likelihood of bullying based on a Gaussian Mixture Model. The system optimizes the parameters of both components jointly, addressing the limitations of decoupled training. Notably, this unsupervised cyberbullying detection model outperforms existing state-of-the-art unsupervised models and demonstrates competitive performance compared to supervised models.

Career Highlights

Yasin Silva is affiliated with Arizona State University, where he continues to advance his research in cyberbullying detection. His work is characterized by a strong emphasis on leveraging machine learning techniques to address social issues in digital communication.

Collaborations

Yasin has collaborated with notable colleagues, including Lu Cheng and Kai Shu, who share his commitment to improving the detection of harmful online behaviors.

Conclusion

Yasin Silva's innovative contributions to cyberbullying detection highlight the importance of technology in addressing social challenges. His work not only enhances the understanding of online interactions but also provides tools to combat cyberbullying effectively.