Bengaluru, India

Alok Shankarlal Shukla

USPTO Granted Patents = 15 

 

Average Co-Inventor Count = 4.9

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Karnataka, IN (2021)
  • Bengaluru, IN (2017 - 2023)

Company Filing History:


Years Active: 2017-2025

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15 patents (USPTO):Explore Patents

Title: Alok Shankarlal Shukla: Innovator in Image Restoration Technologies

Introduction

Alok Shankarlal Shukla is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of image processing, particularly through his innovative methods and electronic devices that utilize machine learning. With a total of 15 patents to his name, Shukla continues to push the boundaries of technology.

Latest Patents

Among his latest patents is a method and electronic device for multi-functional image restoration. This invention involves a trained machine learning model that processes images by determining their channels and restructuring them as needed. The method generates inferences of the image and combines them to produce a final output. Another notable patent focuses on removing artifacts from high-resolution images. This method downscales the image into lower resolutions, applies machine learning models to eliminate artifacts, and reconstructs a high-resolution image free from these imperfections.

Career Highlights

Alok Shukla is currently employed at Samsung Electronics Co., Ltd., where he applies his expertise in machine learning and image processing. His work has garnered attention for its innovative approach to solving complex problems in image restoration.

Collaborations

Shukla collaborates with talented individuals such as Gaurav Khandelwal and Divyanshu Kumar, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Alok Shankarlal Shukla is a key figure in the realm of image processing technologies, with a strong portfolio of patents that reflect his innovative spirit. His contributions are paving the way for advancements in machine learning applications in imaging.

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