Austin, TX, United States of America

Lipphei Adam


Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 144(Granted Patents)


Company Filing History:


Years Active: 2015-2021

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4 patents (USPTO):Explore Patents

Title: Lipphei Adam: Innovator in Geolocation Prediction Technologies

Introduction

Lipphei Adam is a notable inventor based in Austin, TX, who has made significant contributions to the field of geolocation prediction technologies. With a total of 4 patents to his name, Adam's work focuses on scalable complex event processing and the application of probabilistic machine learning models.

Latest Patents

One of Lipphei Adam's latest patents involves a process for scalable complex event processing with probabilistic machine learning models to predict subsequent geolocations. This innovative process includes obtaining a set of historical geolocations, segmenting these geolocations into multiple temporal bins, and determining pairwise transition probabilities between various geographic places based on the historical data. The process also involves configuring a compute cluster by assigning subsets of the transition probabilities to computing devices within the cluster. By receiving a geolocation stream indicative of current geolocations of individuals, the system selects a computing device that contains relevant transition probabilities. It then predicts subsequent geographic places based on the selected transition probabilities.

Career Highlights

Throughout his career, Lipphei Adam has worked with prominent companies such as RetailMeNot, Inc. and Symantec Corporation. His experience in these organizations has contributed to his expertise in developing innovative solutions in the tech industry.

Collaborations

Lipphei Adam has collaborated with notable individuals in his field, including David John Reese and Annette M Taberner-Miller. These collaborations have likely enriched his work and expanded his impact on technology.

Conclusion

Lipphei Adam is a distinguished inventor whose work in geolocation prediction technologies showcases his innovative spirit and technical expertise. His contributions continue to influence advancements in the field, making him a key figure in the realm of machine learning and event processing.

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