Hamilton, NJ, United States of America

Saad Masood Khan

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.8

ph-index = 3

Forward Citations = 95(Granted Patents)


Company Filing History:


Years Active: 2013-2018

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6 patents (USPTO):

Title: The Innovative Contributions of Saad Masood Khan

Introduction

Saad Masood Khan is a notable inventor based in Hamilton, NJ (US). He has made significant contributions to the field of technology, particularly in vehicle detection and multimodal data analysis. With a total of 6 patents to his name, Khan's work showcases his expertise and innovative spirit.

Latest Patents

One of Khan's latest patents is a "3-D model based method for detecting and classifying vehicles in aerial imagery." This computer-implemented method involves receiving an image with a detected vehicle and projecting a number of vehicle models with salient feature points onto the detected vehicle. By comparing features from these models to those of the detected vehicle, the method classifies the vehicle type based on positive and negative match scores. Another significant patent is for "Dynamic hybrid models for multimodal analysis." This technology analyzes temporal components of multimodal data to detect short-term events and recognize long-term multimodal events using a deep learning architecture.

Career Highlights

Throughout his career, Saad Masood Khan has worked with esteemed organizations such as SRI International and the University of Central Florida Research Foundation, Inc. His experience in these institutions has allowed him to develop and refine his innovative ideas.

Collaborations

Khan has collaborated with notable individuals in his field, including Ajay Divakaran and Harpreet Singh Sawhney. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Saad Masood Khan's contributions to technology through his patents and collaborations highlight his role as an influential inventor. His work continues to impact the fields of vehicle detection and multimodal data analysis, showcasing the importance of innovation in today's technological landscape.

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