Zurich, Switzerland

Oliver Markus Vogel


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Oliver Markus Vogel: Innovator in Temporal Pattern Discovery

Introduction

Oliver Markus Vogel is a notable inventor based in Zurich, Switzerland. He has made significant contributions to the field of data analysis and graph theory. His innovative work focuses on discovering temporal patterns in time-variant bipartite graphs, which has applications in various industries.

Latest Patents

Oliver holds a patent titled "Systems and methods for discovering temporal patterns in time variant bipartite graphs." This patent describes systems and methods for identifying entities that share a temporal pattern using bipartite graphs. In one embodiment, the method includes identifying a temporal pattern in a sequence of bipartite graphs for a sequence of records involving two entity types, where records vary according to time. The embodiment may color code the edges between entity types in the sequence of bipartite graphs according to the identified temporal pattern. This allows for the identification of time-based relationships between entities, enabling the derivation of trends, such as increasing sales for business units in a specific geographic region.

Career Highlights

Oliver is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM involves leveraging advanced data analysis techniques to enhance business intelligence and decision-making processes. With a focus on innovation, he continues to contribute to the development of cutting-edge technologies.

Collaborations

Oliver has collaborated with notable colleagues, including Manoj Kumar Agarwal and Sumit Negi. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.

Conclusion

Oliver Markus Vogel is a distinguished inventor whose work in discovering temporal patterns in bipartite graphs has the potential to transform data analysis. His contributions at IBM and collaborations with fellow innovators highlight his commitment to advancing technology.

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