Abu Dhabi, United Arab Emirates

Muhammad Haris Khan

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Mohamed Bin Zayed University of Artificial Intelligence. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Muhammad Haris Khan. Retrieved from https://idiyas.com/inventor/muhammad-haris-khan-00ctlqt3

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Muhammad Haris Khan

Introduction

Muhammad Haris Khan is an accomplished inventor based in Abu Dhabi, AE. He has made significant contributions to the field of artificial intelligence, particularly in the area of machine learning and medical diagnostics. His innovative work focuses on enhancing the capabilities of vision transformer neural networks.

Latest Patents

One of his notable patents is titled "System and method for self-distilled vision transformer for domain generalization." This invention describes an apparatus and method for a machine learning engine that trains a vision transformer neural network using a training dataset that includes at least two domains for diagnosing medical conditions. The process involves processing image patches and class tokens through a sequence of feature extraction transformer blocks to obtain a predicted class token. In parallel, intermediate class tokens are extracted as outputs of each feature extraction transformer block, where each transformer block acts as a sub-model. A sub-model is randomly sampled from these sub-models to obtain a sampled intermediate class token, which is then used to make a sub-model prediction. The vision transformer neural network is optimized based on the difference between the predicted class token and the sub-model prediction. Inferencing is performed for a target medical image in a target domain that differs from the at least two domains. This patent showcases his innovative approach to improving medical diagnostics through advanced machine learning techniques.

Career Highlights

Muhammad Haris Khan is currently associated with 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. His work has garnered attention for its potential impact on the medical field, particularly in enhancing diagnostic accuracy through machine learning.

Collaborations

He collaborates with talented individuals such as Maryam Sultana and Muhammad Muzammal Naseer. These collaborations contribute to the advancement of research and innovation in their respective fields.

Conclusion

Muhammad Haris Khan is a prominent inventor whose work in machine learning and medical diagnostics is paving the way for future innovations. His patent on the self-distilled vision transformer exemplifies his commitment to improving healthcare through technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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