This inventor holds 1 USPTO granted patent. Top assignee: Avathon, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Abubakr Sheikh: Innovator in State Prediction Reliability Modeling
Introduction
Abubakr Sheikh is an accomplished inventor based in Pflugerville, TX (US). He has made significant contributions to the field of predictive modeling, particularly through his innovative patent. His work focuses on enhancing the reliability of state predictions, which has important applications in various industries.
Latest Patents
Abubakr Sheikh holds a patent for a method titled "State Prediction Reliability Modeling." This method involves providing behavior model input data to generate behavior model output data. It also includes generating an initial state prediction based on this output data. The process further entails creating state prediction statistics based on the initial prediction and historical data. Additionally, it incorporates classifier input data to determine the reliability of the initial state prediction.
Career Highlights
Abubakr is currently employed at Avathon, Inc., where he applies his expertise in predictive modeling. His innovative approach has positioned him as a valuable asset to his company and the broader field of technology.
Collaborations
Abubakr has worked alongside talented colleagues, including Nkem Egboga and Kevin Gullikson. Their collaborative efforts contribute to the advancement of their projects and the overall success of Avathon, Inc.
Conclusion
Abubakr Sheikh is a notable inventor whose work in state prediction reliability modeling showcases his innovative spirit and technical expertise. His contributions are paving the way for advancements in predictive analytics and modeling.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile