Champaign, IL, United States of America

Saurabh Gupta


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Saurabh Gupta: Innovator in Millimeter-Wave Imaging Systems

Introduction

Saurabh Gupta is a prominent inventor based in Champaign, IL (US). He has made significant contributions to the field of imaging systems, particularly through his innovative work on neural network-based technologies. His research focuses on enhancing imaging capabilities using advanced machine learning techniques.

Latest Patents

Saurabh Gupta holds a patent for a "Neural network-based millimeter-wave imaging system." This invention involves a method that includes receiving data comprising a plurality of data items. Each data item includes a three-dimensional (3D) radar heat map of an object and a corresponding two-dimensional (2D) image captured by a stereo camera. The method inputs the training dataset into a machine learning model, which includes a neural network (NN) that generates a 2D depth map for the object from the 3D radar heat map. It also outputs a probability that the 2D depth map corresponds to the 2D image of the object. The model is trained based on the dataset to iteratively learn and generate an updated 2D depth map that approximates the corresponding 2D image.

Career Highlights

Saurabh Gupta is affiliated with the University of Illinois, where he continues to advance his research in imaging technologies. His work has garnered attention for its innovative approach to integrating machine learning with radar imaging systems.

Collaborations

He collaborates with notable colleagues, including Junfeng Guan and Seyedsohrab Madani, who contribute to his research endeavors and enhance the impact of his work.

Conclusion

Saurabh Gupta's contributions to neural network-based imaging systems exemplify the intersection of technology and innovation. His patent reflects a significant advancement in imaging technology, showcasing the potential of machine learning in practical applications.

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