Santa Clara, CA, United States of America

Shehzad Noor Taus Priyo


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: Shehzad Noor Taus Priyo: Innovator in Three-Dimensional Object Localization

Introduction

Shehzad Noor Taus Priyo is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of technology, particularly in the area of object localization and obstacle avoidance. His innovative work has led to the development of a patent that enhances the capabilities of convolutional neural networks.

Latest Patents

Shehzad holds a patent titled "Three-dimensional object localization for obstacle avoidance using one-shot convolutional neural network." This patent involves receiving pixel image data of a scene, which includes a two-dimensional representation of an object. Additionally, point cloud data containing three-dimensional point coordinates of a physical object is utilized. The depth information of the physical object is integrated with the pixel image data to form a comprehensive dataset. A convolutional neural network is then employed to predict a three-dimensional bounding box for the object based on this integrated data. This innovative approach significantly improves obstacle avoidance in various applications.

Career Highlights

Shehzad is currently associated with International Business Machines Corporation (IBM), where he continues to push the boundaries of technology. His work at IBM has allowed him to collaborate with other talented professionals in the field, contributing to advancements in machine learning and computer vision.

Collaborations

Some of Shehzad's notable coworkers include Mudhakar Srivatsa and Swati Rallapalli. Their collaborative efforts have fostered an environment of innovation and creativity, leading to groundbreaking developments in their respective areas of expertise.

Conclusion

Shehzad Noor Taus Priyo is a distinguished inventor whose work in three-dimensional object localization showcases his commitment to advancing technology. His contributions, particularly through his patent, highlight the importance of innovation in enhancing machine learning applications.

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