Noor Fathima Khanum Mohamed Ghouse

Title: Noor Fathima Khanum Mohamed Ghouse: Innovator in Data Compression

Introduction

Noor Fathima Khanum Mohamed Ghouse is a prominent inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of data compression, particularly in image processing. His innovative approach utilizes advanced machine learning techniques to enhance the efficiency of image data handling.

Latest Patents

Noor Fathima holds a patent for a groundbreaking technology titled "Diffusion-based data compression." This patent describes systems and techniques for processing image data using a residual model that can be configured with an adjustable number of sampling steps. The process involves obtaining a latent representation of an image and utilizing a decoder of a machine learning model to generate an initial reconstructed image. Furthermore, it includes processing the initial reconstructed image and noise data to predict a plurality of predictions of a residual over several sampling steps. The final output is a reconstructed image that effectively represents the original image.

Career Highlights

Noor Fathima is currently employed at Qualcomm Incorporated, a leading technology company known for its innovations in telecommunications and semiconductor technology. His work at Qualcomm has allowed him to explore and develop advanced data processing techniques that have practical applications in various industries.

Collaborations

Throughout his career, Noor has collaborated with talented individuals such as Jens Petersen and Tianlin Xu. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Noor Fathima Khanum Mohamed Ghouse is a remarkable inventor whose work in data compression is paving the way for advancements in image processing. His contributions are not only innovative but also essential for the future of technology.