This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Jan-Philipp Esch: Innovator in Task Execution Optimization
Introduction
Jan-Philipp Esch is a notable inventor based in Walldorf, Germany. He has made significant contributions to the field of computing and energy resource optimization. His innovative approach focuses on enhancing task execution efficiency, which is crucial in today's technology-driven world.
Latest Patents
Jan-Philipp Esch holds a patent for "Task execution optimization to reduce computing or energy resource use." This patent presents techniques and solutions for generating allocation tasks for multiple tasks that require one or more instances of an element. The element is associated with various allocation units, including aggregation units that comprise multiple instances. The disclosed techniques allow for a combination of allocation tasks, enabling efficient distribution of resources among tasks. Additionally, the patent explores methods for determining whether a given aggregation unit can satisfy multiple tasks and provides strategies for splitting tasks into groups for more efficient allocation.
Career Highlights
Jan-Philipp Esch is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His work at SAP SE has allowed him to apply his innovative ideas in a practical setting, contributing to the company's advancements in technology and resource management.
Collaborations
Throughout his career, Jan-Philipp has collaborated with talented individuals such as Alexander Mandel and Patrick Mueller. These collaborations have fostered a creative environment that encourages the development of groundbreaking solutions in the field of task execution optimization.
Conclusion
Jan-Philipp Esch's contributions to task execution optimization highlight his role as an influential inventor in the technology sector. His innovative patent and work at SAP SE demonstrate his commitment to improving efficiency in computing and energy resource use.
