San Jose, CA, United States of America

Vanessa Tan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Vanessa Tan: Innovator in Network Latency Estimation

Introduction

Vanessa Tan is a prominent inventor based in San Jose, CA, known for her contributions to the field of network performance. She has developed innovative solutions that address critical challenges in network latency estimation. Her work is particularly significant in the context of improving communication efficiency across various network infrastructures.

Latest Patents

Vanessa Tan holds a patent titled "Estimation of network latency based on aggregated performance data." This patent focuses on the estimation of end-to-end latency between endpoints, which can include various types of latency such as protocol-induced latency, access network-induced latency, core-network latency, and network-distance-based latency. The invention emphasizes the importance of crowdsourcing communication path performance information to enable accurate estimation of topological latency. This approach allows for the compensation of different latency types, ultimately enhancing network response operations.

Career Highlights

Vanessa is currently associated with AT&T Intellectual Property I, L.P., where she continues to innovate and contribute to advancements in network technology. Her expertise in network latency estimation has positioned her as a valuable asset in her field.

Collaborations

Throughout her career, Vanessa has collaborated with notable colleagues, including Zhengye Liu and Yali Liu. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Vanessa Tan's work in network latency estimation exemplifies her commitment to innovation and excellence in technology. Her contributions are paving the way for more efficient network communication solutions.

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