Lior Gelberg

Title: Lior Gelberg: Innovator in Dynamic Identity Authentication

Introduction

Lior Gelberg is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of identity authentication, holding a total of 3 patents. His innovative work focuses on utilizing advanced technologies to enhance the accuracy and efficiency of personal identification methods.

Latest Patents

One of Gelberg's latest patents is titled "Dynamic Identity Authentication." This method involves acquiring spatiotemporal data for various anatomical landmarks associated with a person's activity. The data is modeled as a spatiotemporal graph (ST-Graph) and processed using a non-local graph convolution neural network (NLGCN) to establish the individual's identity. Another notable patent is for a "System and Method for Identifying a Person in a Video." This invention includes systems and methods that generate a spatiotemporal emotion data compendium (STEM-DC) from video footage. It utilizes a deep fully adaptive graph convolutional network (FAGC) to create a representation vector that accurately identifies the person in the video.

Career Highlights

Lior Gelberg is affiliated with Tel Aviv University, where he continues to advance his research and development in identity authentication technologies. His work is at the intersection of computer science and biometric identification, making significant strides in how individuals are recognized in various contexts.

Collaborations

Gelberg collaborates with esteemed colleagues, including David Mendlovic and Khen Cohen. Their combined expertise contributes to the innovative projects and research initiatives at Tel Aviv University.

Conclusion

Lior Gelberg's contributions to dynamic identity authentication exemplify the potential of technology to transform personal identification methods. His patents reflect a commitment to advancing the field and improving security measures in various applications.