Company Filing History:
Years Active: 2016-2019
Title: Reinhard Von Hanxleden: Innovator in Computational Models
Introduction
Reinhard Von Hanxleden is a notable inventor based in Kronshagen, Germany. He has made significant contributions to the field of computational models, particularly in the validation of programs under specified models of computation. With a total of 3 patents to his name, his work has implications for enhancing program execution and analysis.
Latest Patents
One of Reinhard's latest patents is titled "Sequentially Constructive Model of Computation - System and Method for Validating a Program Under a Specified Model of Computation." This patent addresses the challenges of validating programs that specify multiple operations using a variable within a logical tick. The model of computation he developed relates to the synchronous statechart model, allowing for static analysis of programs to ensure deterministic semantics. This innovation enables the validation of a broader set of programs while maintaining deterministic results, which is a significant advancement over conventional models.
Career Highlights
Reinhard is currently employed at National Instruments Corporation, where he continues to push the boundaries of computational theory and practice. His work focuses on developing systems that enhance the reliability and efficiency of program validation processes. His expertise in this area has positioned him as a key figure in the field of computational models.
Collaborations
Reinhard has collaborated with notable colleagues, including Michael Mendler and Stephen R. Mercer. These collaborations have fostered an environment of innovation and have contributed to the advancement of their shared goals in computational research.
Conclusion
Reinhard Von Hanxleden's contributions to the field of computational models are noteworthy and impactful. His innovative patents and career at National Instruments Corporation highlight his dedication to improving program validation techniques. His work continues to influence the landscape of computational theory and practice.
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