Sandra Gómez Canaval

Title: Sandra Gómez Canaval: Innovator in Generative Adversarial Networks

Introduction

Sandra Gómez Canaval is a prominent inventor based in Madrid, Spain. She has made significant contributions to the field of artificial intelligence, particularly in the area of generative adversarial networks (GANs). Her innovative approach to modeling synthetic data has garnered attention in the tech community.

Latest Patents

Sandra holds a patent for a "Method for modelling synthetic data in generative adversarial networks." This method involves a generator agent (G) that generates synthetic data and a discriminator agent (D) that distinguishes between the generated synthetic data and real original data. The method computes an Inverse Smirnov transformation for each input variable and attaches an activation function to the generator agent. This allows the GAN to produce synthetic data that maintains the same distribution shape as the original data.

Career Highlights

Sandra is currently employed at Telefónica, S.A., where she applies her expertise in artificial intelligence and data modeling. Her work has positioned her as a key player in the development of advanced technologies that leverage GANs for various applications.

Collaborations

Some of her notable coworkers include Alberto Mozo Velasco and Antonio Agustin Pastor Perales. Their collaborative efforts contribute to the innovative environment at Telefónica, fostering advancements in technology.

Conclusion

Sandra Gómez Canaval is a trailblazer in the field of generative adversarial networks, with her patent showcasing her innovative spirit and technical expertise. Her contributions continue to influence the landscape of artificial intelligence and data modeling.