Company Filing History:
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Years Active: 2012-2017
Title: David Geltner: Innovator in Network Classification and M2M Technologies
Introduction
David Geltner is a notable inventor based in Naperville, IL (US). He has made significant contributions to the fields of network classification and machine-to-machine (M2M) technologies. With a total of 5 patents to his name, Geltner's work has had a considerable impact on how devices communicate and interact within networks.
Latest Patents
One of Geltner's latest patents focuses on classifying client devices in a network. This innovation allows devices to receive attribute information that identifies multiple attributes associated with a client device. The system classifies the client device based on this information and provides classification details to a network device. This enables the network device to associate a specific policy set with the client device, enhancing data flow processing. Another significant patent involves M2M device client systems, methods, and interfaces. This patent describes an M2M device client that offers a platform messaging interface for communication with an M2M platform, as well as an application interface that includes a set of application program interfaces (APIs) for interaction with applications installed on the M2M device.
Career Highlights
Throughout his career, David Geltner has worked with prominent companies such as Verizon Patent and Licensing Inc. and Cellco Partnership. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.
Collaborations
Geltner has collaborated with talented individuals in the field, including Mohanraj Umapathy and Robert Bruce Stansell. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
David Geltner's contributions to network classification and M2M technologies demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of the complexities of device communication and the importance of efficient data processing.