Seattle, WA, United States of America

Christopher Alme

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Inventor Spotlight: Christopher Alme in Seattle, WA

Introduction: Christopher Alme is an innovative inventor based in Seattle, Washington. He holds a patent that significantly advances the utility of geofencing technology. Alme's work blends cutting-edge architectural design with rich contextual and crowd-sourced data, paving the way for enhancements in geofencing applications.

Latest Patents: Alme's notable patent, titled "Geofences from context and crowd-sourcing," focuses on developing an architecture that optimizes the definition and resizing of geofences. This innovative framework employs both user context, such as travel paths and transportation modes, as well as ambient context, including external factors like traffic and weather. The aim is to improve the spatiotemporal accuracy of geofence placements, allowing them to more closely align with the shape of entities being geofenced.

Career Highlights: Christopher Alme is currently associated with Microsoft Technology Licensing, LLC, where he continues to make strides in technology and innovation. His contribution to the field of geofencing underscores his commitment to enhancing user experiences through intelligent data utilization and architecture.

Collaborations: Throughout his career, Alme has collaborated with notable colleagues, including Emmanouil Koukoumidis and Norm Bryar. Their combined expertise and innovative approaches have contributed to advancing Alme's concepts and solutions in geofencing technology.

Conclusion: Christopher Alme stands out as a pioneering inventor in the realm of geofencing. His patent exemplifies his dedication to enhancing how technology interacts with human context and environment. As he continues his work at Microsoft Technology Licensing, his contributions are likely to influence future advancements in spatial intelligence and contextual applications.

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