Firouzeh Golaghazadeh

Title: Firouzeh Golaghazadeh: Innovator in Deep Neural Networks

Introduction

Firouzeh Golaghazadeh is a prominent inventor based in Ottawa, Canada. She has made significant contributions to the field of deep neural networks, particularly in embedding concealed meta-data into these systems. With a total of 6 patents to her name, her work is paving the way for advancements in artificial intelligence and machine learning.

Latest Patents

One of her latest patents focuses on systems and methods for embedding concealed meta-data into deep neural networks (DNNs). The process involves receiving a trained neural network that includes one or more layers, each having weights. The method includes transforming at least one layer to a transformed domain, adding information to the layer(s) in this domain, and performing an inverse domain transform on at least one layer. This results in new weights with an embedded watermark, enhancing the security and integrity of the neural network.

Career Highlights

Firouzeh has worked with notable companies such as Ciena Corporation and École de Technologie Supérieure. Her experience in these organizations has allowed her to refine her skills and contribute to innovative projects in the tech industry.

Collaborations

Some of her notable coworkers include Petar Djukic and Stéphane Coulombe. Their collaboration has likely fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Firouzeh Golaghazadeh is a trailblazer in the field of deep neural networks, with her innovative patents and career achievements reflecting her dedication to advancing technology. Her work continues to influence the landscape of artificial intelligence and machine learning.