Arlington, MA, United States of America

Won-ki Jeong

This inventor holds 1 USPTO granted patent. Top assignee: University of Utah Research Foundation. Active years: 2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Won-ki Jeong. Retrieved from https://idiyas.com/inventor/won-ki-jeong-3ukix1pg

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2014

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Contributions of Won-ki Jeong

Introduction: Won-ki Jeong is a notable inventor based in Arlington, MA (US). He has made significant contributions to the field of numerical methods, particularly in solving complex equations. His work is characterized by a focus on parallel processing techniques that enhance computational efficiency.

Latest Patents: Won-ki Jeong holds a patent for a "Fast iterative method for processing Hamilton-Jacobi equations." This innovative system and method provide a parallel processing approach to the Hamilton-Jacobi equation. The numerical method he developed can be utilized with various parallel architectures, along with an improved Godunov Hamiltonian computation. This patent showcases his expertise in mathematical modeling and computational methods.

Career Highlights: Jeong is affiliated with the University of Utah Research Foundation, where he continues to advance his research in numerical methods and computational techniques. His work has implications for various applications, including optimization and control systems.

Collaborations: One of his notable collaborators is Ross Whitaker, with whom he has worked on projects that further explore the applications of his patented methods.

Conclusion: Won-ki Jeong's contributions to the field of numerical methods and his innovative patent demonstrate his commitment to advancing technology and solving complex mathematical problems. His work continues to influence the landscape of computational research.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…