This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Mohamed Bin Zayed University of Artificial Intelligence. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Karthik Nandakumar: Innovator in Data Augmentation
Introduction
Karthik Nandakumar is a prominent inventor based in Abu Dhabi, AE. He has made significant contributions to the field of data augmentation, particularly through his innovative patent. His work focuses on enhancing training images using advanced techniques that leverage diffusion models.
Latest Patents
Karthik holds a patent titled "System and method for label-preserving data augmentation with diffusion models." This invention presents a method and system for generating enriched training images. The process involves inputting an original image and at least one prompt into a diffusion model to produce a corresponding image. A hybrid image is created by concatenating a portion of the original image with a portion of the generated image, utilizing a binary pixel-wise mask. This mask consists of pixels valued at zero or one, with at least one entire row or column set to zero. The concatenation process includes multiplying pixels of the original image with the mask and multiplying pixels of the generated image with the complement of the mask. Additionally, a fractal image is blended into the hybrid image using a blending factor to produce an augmented image.
Career Highlights
Karthik is currently associated with the Mohamed Bin Zayed University of Artificial Intelligence. His role at this esteemed institution allows him to further his research and development in artificial intelligence and data augmentation techniques.
Collaborations
Karthik has collaborated with notable colleagues, including Khawar Islam and Muhammad Zaigham Zaheer. Their combined expertise contributes to the advancement of innovative solutions in their respective fields.
Conclusion
Karthik Nandakumar is a key figure in the realm of data augmentation, with a focus on utilizing diffusion models to enhance image training processes. His contributions are paving the way for advancements in artificial intelligence and machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile