Mohammad Hanan Gani

Title: Innovations of Mohammad Hanan Gani

Introduction

Mohammad Hanan Gani is an accomplished inventor based in Abu Dhabi, AE. He has made significant contributions to the field of artificial intelligence and deep learning. His innovative work focuses on enhancing the capabilities of vision transformers through advanced training methods.

Latest Patents

One of his notable patents is titled "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 selects a small-scale of images from a training dataset, generates global views by randomly selecting regions in one image, and generates local views by randomly selecting regions covering less than a majority of the image. It receives the generated global views as a first sequence of non-overlapping image patches and the generated global views and local views as a second sequence of non-overlapping image patches. The system trains parameters in a student-teacher network to predict a class of objects by self-supervised view prediction using both sequences. The teacher parameters are updated via 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

Mohammad Hanan Gani is currently affiliated with Mohamed Bin Zayed University of Artificial Intelligence. His work at the university emphasizes the integration of artificial intelligence in various applications, particularly in medical imaging and data analysis.

Collaborations

He collaborates with notable colleagues such as Muhammad Muzammal Naseer and Mohammad Yaqub, contributing to the advancement of research in artificial intelligence and machine learning.

Conclusion

Mohammad Hanan Gani's innovative contributions to deep learning and artificial intelligence demonstrate his commitment to advancing technology in meaningful ways. His work continues to influence the field and inspire future innovations.