This inventor holds 1 USPTO granted patent. Top assignee: Arizona State University. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Syed Hassaan: Innovator in Bounded-Error Estimation
Introduction
Syed Hassaan is a notable inventor based in Tempe, AZ (US). He has made significant contributions to the field of data processing, particularly in the design of bounded-error estimators. His innovative approach addresses challenges associated with missing data patterns in vehicle state estimation.
Latest Patents
Syed Hassaan holds a patent titled "Bounded-error estimator design with missing data patterns via state augmentation." This patent outlines a method implemented in a data processing system that includes at least one processor and at least one memory. The system is designed to receive information about various vehicle states from sensors, identify missing data, and estimate the vehicle state based on augmented states. This estimated vehicle state is then provided to the vehicle control system, enhancing the reliability of vehicle operations.
Career Highlights
Syed Hassaan is affiliated with Arizona State University, where he contributes to research and development in advanced data processing techniques. His work focuses on improving the accuracy of vehicle state estimations, which is crucial for the advancement of autonomous vehicle technologies.
Collaborations
Some of his notable coworkers include Qiang Shen and Sze Zheng Yong. Their collaborative efforts contribute to the innovative research environment at Arizona State University.
Conclusion
Syed Hassaan's work in bounded-error estimation represents a significant advancement in data processing for vehicle systems. His contributions are paving the way for more reliable and efficient vehicle control technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
