Eveleigh, Australia

Ingo Weber

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016-2022

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2 patents (USPTO):Explore Patents

Title: Ingo Weber: Innovator in API-Controlled Systems

Introduction

Ingo Weber is a notable inventor based in Eveleigh, Australia. He has made significant contributions to the field of computing, particularly in the area of application program interfaces (APIs) and log data analysis. With a total of two patents to his name, Weber's work focuses on enhancing the functionality and reliability of computing systems.

Latest Patents

Weber's latest patents include "Classification of Log Data" and "Checking Undoability of an API-Controlled Computing System." The first patent relates to analyzing log data by evaluating a graph model that represents various behaviors. This method allows for a more granular classification of log events compared to traditional binary intrusion detection systems. The second patent proposes a method for determining the undoability of actions within an API-controlled computing system. It involves assessing pre-states and post-states of actions to ensure that they can be reverted, thereby enhancing the reliability of API interactions.

Career Highlights

Ingo Weber is currently associated with National ICT Australia Limited, where he applies his expertise in computing systems. His innovative approaches have contributed to advancements in how systems manage and analyze data, making him a valuable asset in the tech industry.

Collaborations

Weber has collaborated with notable colleagues such as Nick Van Beest and Hiroshi Wada. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Ingo Weber's contributions to the field of computing through his patents and collaborations highlight his role as an influential inventor. His work continues to shape the future of API-controlled systems and log data analysis.

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