Abu Dhabi, United Arab Emirates

Hang Dai

This inventor holds 2 USPTO granted patents. Top assignees: Artificial Intelligence, Ltd., Mohamed Bin Zayed University of Artificial Intelligence. Active years: 2019-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hang Dai. Retrieved from https://idiyas.com/inventor/hang-dai-42j0m8gv

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


% Patents Active = 100.0

Average Co-Inventor Count = 2.9

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Inventor Hang Dai

Introduction

Hang Dai is an accomplished inventor based in Abu Dhabi, AE. He holds two patents that showcase his expertise in artificial intelligence and image processing technologies. His work focuses on developing innovative solutions for deepfake detection and medical image segmentation.

Latest Patents

One of Hang Dai's latest patents is titled "Video transformer for deepfake detection with incremental learning." This invention includes a method, apparatus, and system for detecting DeepFake videos. It utilizes an input device to input a sequence of video frames, and processing circuitry to detect faces frame by frame. The system creates UV texture maps from the face images and extracts image feature maps using a convolutional neural network (CNN) backbone. The video transformer model then classifies the video as either Real or Fake, providing a display device to indicate the classification.

Another significant patent is "Medical image segmentation using an integrated edge guidance module and object segmentation network." This patent relates to improved techniques for performing image segmentation functions using neural network architectures. The architecture integrates an edge guidance module and object segmentation network into a single framework. It generates edge-attention representations and multi-scale feature information to enhance object-level feature information in images. This results in segmentation that accurately identifies target object boundaries.

Career Highlights

Hang Dai has worked with notable organizations, including Artificial Intelligence, Ltd. and Mohamed Bin Zayed University of Artificial Intelligence. His contributions to these institutions have significantly advanced the field of artificial intelligence and image processing.

Collaborations

Some of his coworkers include Huazhu Fu and Jianbing Shen, who have collaborated with him on various projects.

Conclusion

Hang Dai's innovative patents and career achievements highlight his significant contributions to the fields of artificial intelligence and image processing. His work continues to influence advancements in technology and research.

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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