Houston, TX, United States of America

Hiren Maniar

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

9 patents (USPTO):

Title: Hiren Maniar: Innovator in Machine Learning and Geophysical Data Analysis

Introduction

Hiren Maniar is a prominent inventor based in Houston, TX, known for his contributions to machine learning and geophysical data analysis. With a total of nine patents to his name, he has made significant strides in the field of image digitization and neural networks. His innovative approaches have garnered attention in both academic and industrial circles.

Latest Patents

One of Hiren Maniar's latest patents is titled "Raster image digitization using machine learning techniques." This method involves receiving an image file containing target objects, generating an intermediate image by removing noise using a denoising machine learning model, and identifying the target objects through an object segmentation model. The process includes discretizing the identified objects and storing them in a data file for visualization.

Another notable patent is "Uncertainty analysis for neural networks." This method utilizes geophysical data to train a neural network for reconstructing geophysical structures. It provides uncertainty metrics for various features of the reconstructed structure, enhancing the reliability of the neural network's outputs. The training process incorporates dropout conditions to improve the model's performance.

Career Highlights

Hiren has worked with renowned companies such as Schlumberger Technology Corporation and Services Pétroliers Schlumberger. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and research.

Collaborations

Throughout his career, Hiren has collaborated with talented individuals, including Aria Abubakar and Xiaoli Chen. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Hiren Maniar's work exemplifies the intersection of machine learning and geophysical data analysis. His patents reflect a commitment to innovation and a desire to push the boundaries of technology. As he continues to develop new methods and collaborate with others, Hiren remains a significant figure in the field of invention.

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