Mohammad Yaqub

Title: Innovations of Mohammad Yaqub in Deep Learning

Introduction

Mohammad Yaqub is an accomplished inventor based in Abu Dhabi, AE. He has made significant contributions to the field of artificial intelligence, particularly in deep learning technologies. His innovative work focuses on enhancing the training of vision transformers using small-scale datasets.

Latest Patents

Yaqub holds a patent for a "System and method of training vision transformer on small-scale datasets." This deep learning training system includes an imaging system for capturing medical images, a machine learning engine, and a display. The machine learning engine is designed to select a small-scale of images from a training dataset. It generates global views by randomly selecting regions in one image and local views by randomly selecting regions that cover less than a majority of the image. The system receives the generated global views as a first sequence of non-overlapping image patches and the generated global views along with the local views as a second sequence of non-overlapping image patches. It trains parameters in a student-teacher network to predict a class of objects through self-supervised view prediction using both sequences. The teacher parameters are updated via an exponential moving average of the student network parameters. Finally, the parameters in the teacher network are transferred to the vision transformer, which is trained by supervised learning.

Career Highlights

Yaqub is currently affiliated with the Mohamed Bin Zayed University of Artificial Intelligence. His role at the university allows him to engage in cutting-edge research and development in artificial intelligence and machine learning. His work is pivotal in advancing the capabilities of deep learning systems.

Collaborations

Yaqub collaborates with notable colleagues, including Mohammad Hanan Gani and Muhammad Muzammal Naseer. These collaborations enhance the research output and innovation in their respective fields.

Conclusion

Mohammad Yaqub's contributions to deep learning and artificial intelligence are noteworthy. His innovative patent demonstrates his commitment to advancing technology in medical imaging and machine learning. His work continues to influence the field and inspire future innovations.