Chapel Hill, NC, United States of America

Scott Glasser


Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2012-2014

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3 patents (USPTO):Explore Patents

Title: Scott Glasser: Innovator in Traffic Flow Inference

Introduction

Scott Glasser is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of traffic flow modeling, holding a total of 3 patents. His work focuses on utilizing link loads and gravity measures to enhance traffic flow inference in networks.

Latest Patents

One of Scott's latest patents is titled "Traffic flow inference based on link loads and gravity measures." This invention models traffic flow between nodes in a network by analyzing loads measured at each link and gravity measures associated with each node. Gravity measures indicate the likelihood of a node being a source or sink of traffic, which can be influenced by qualitative characteristics of the node. The patent outlines a method for generating a quantitative function to determine if a network can meet assigned gravity objectives. By modeling changes to link loads and traffic flows, the invention aims to minimize discrepancies between assigned and actual gravity measures.

Career Highlights

Scott has worked with several prominent companies in the technology sector, including Opnet Technologies, Inc. and Riverbed Technology, Inc. His experience in these organizations has contributed to his expertise in traffic flow analysis and network optimization.

Collaborations

Throughout his career, Scott has collaborated with talented individuals such as Bobby Ninan and Gordon Bolt. These partnerships have likely enriched his work and led to innovative solutions in traffic flow modeling.

Conclusion

Scott Glasser is a distinguished inventor whose work in traffic flow inference has the potential to transform how networks manage and optimize traffic. His patents reflect a deep understanding of the complexities involved in traffic modeling, making him a valuable contributor to the field.

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