Ashburn, VA, United States of America

Michael Perlitz


Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2014-2023

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3 patents (USPTO):Explore Patents

Title: Michael Perlitz: Innovator in Network Demand Forecasting

Introduction

Michael Perlitz is an accomplished inventor based in Ashburn, VA (US). He has made significant contributions to the field of network demand forecasting, holding three patents that showcase his innovative approaches. His work focuses on optimizing network resources through advanced modeling techniques.

Latest Patents

One of Michael Perlitz's latest patents is titled "Hyperparameter and network topology selection in network demand forecasting." This patent outlines approaches for optimizing network demand forecasting models and network topology using hyperparameter selection. The method involves defining a pool of features that can be utilized in models predicting the demand for network resources. This pool includes both historical and event forecasting features. The process also entails generating an optimal model using a subset of these features and predicting future demand on a network based on this model. Additionally, it includes allocating resources in the network according to the predicted future demand.

Career Highlights

Throughout his career, Michael has worked with notable companies, including International Business Machines Corporation (IBM) and Kyndryl, Inc. His experience in these organizations has contributed to his expertise in network demand forecasting and resource optimization.

Collaborations

Michael has collaborated with several professionals in his field, including Aaron K Baughman and Stefan A G Van Der Stockt. These collaborations have further enriched his work and contributed to the development of innovative solutions in network demand forecasting.

Conclusion

Michael Perlitz is a prominent inventor whose work in network demand forecasting has led to significant advancements in the field. His patents reflect his commitment to optimizing network resources and improving forecasting models. His contributions continue to influence the industry and inspire future innovations.

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