Tampere, Finland

Harish Essaky Sankaran


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Harish Essaky Sankaran: Innovator in Machine Learning and Image Capture Technology

Introduction

Harish Essaky Sankaran is a notable inventor based in Tampere, Finland. He has made significant contributions to the field of machine learning, particularly in the context of real-time image capture parameters. His innovative work has led to the development of advanced methods and systems that enhance the functionality of image capture devices.

Latest Patents

Harish holds a patent for a groundbreaking invention titled "Machine learning of real-time image capture parameters." This patent outlines methods, apparatuses, and systems that operate a machine learning device by obtaining training image data. The invention involves conducting an offline prediction analysis of the training image data concerning one or more real-time parameters of an image capture device. It also includes generating parameter detection models based on this analysis. Furthermore, the system can operate the image capture device by obtaining a candidate image, determining its correspondence to a specific scene type, and adjusting real-time parameters based on associated parameter values.

Career Highlights

Harish is currently employed at Intel Corporation, where he continues to push the boundaries of technology through his innovative work. His expertise in machine learning and image processing has positioned him as a valuable asset in the tech industry.

Collaborations

Some of Harish's coworkers include Edmond Chalom and Dmitry Rudoy, who contribute to the collaborative environment at Intel Corporation.

Conclusion

Harish Essaky Sankaran's contributions to machine learning and image capture technology exemplify the spirit of innovation. His patent and ongoing work at Intel Corporation highlight his commitment to advancing technology in meaningful ways.

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