Sunnyvale, CA, United States of America

Chan-Soo Hwang

This inventor holds 16 USPTO granted patents and 5 published patent applications and 4 EPO patents, primarily in Network Optimization. Top assignees: Assia Spe, LLC, Adaptive Spectrum and Signal Alignment, Incorporated, Tinoq Inc.. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chan-Soo Hwang. Retrieved from https://idiyas.com/inventor/chan-soo-hwang-9dx2cqe7

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 87.5

 

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 13(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2016 - 2023)
  • Seoul, KR (2022 - 2024)

Company Filing History:


Years Active: 2016-2025

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Areas of Expertise:
Service Type Identification
Local Area Networks
Internet Connection Problems
Spectrum Management
Remote Collaboration
Net Neutrality Testing
Compound Sensor System
High-Speed Waveguide
Network Monitoring
Packet Loss Estimation
Common Mode Diagnostics
Impulse Noise Detection
16 patents (USPTO):Explore Patents

Title: The Innovations of Chan-Soo Hwang

Introduction

Chan-Soo Hwang is a prominent inventor based in Sunnyvale, California, known for his substantial contributions to the field of telecommunications. With a remarkable portfolio of 17 patents, Hwang has made significant advancements in service type identification and network optimization, particularly in wireless communication networks.

Latest Patents

Hwang's innovative work includes several notable patents. One of his latest inventions focuses on "Service Type Identification Systems and Methods for Optimizing Local Area Networks." This invention presents methods and systems that utilize a software agent in an access point (AP) to identify the service type used by a wireless communication station. By acquiring the communication status from various apparatuses, including wireless communication stations and broadband connections, the system is able to learn a classifier. This classifier analyzes historical communication status to map it to specific service types, enabling the recognition of the service type of a wireless communication station in real-time. The identified service type assists in diagnosing the performance of communication networks, leading to optimized operations.

Another significant patent relates to "Systems and Methods for Remote Collaboration." This invention addresses work-from-home solutions that accurately diagnose the locations and severity of connectivity issues across a network. By leveraging artificial intelligence and machine learning, the system processes customer quality-of-experience (QoE) feedback, thereby improving network connectivity based on these analyses.

Career Highlights

Chan-Soo Hwang has built a distinguished career in the telecommunications industry. He has worked with notable companies such as Assia, Inc. and Adaptive Spectrum and Signal Alignment, Incorporated. His work has consistently focused on enhancing network performance and connectivity solutions, making a profound impact on the industry.

Collaborations

Throughout his career, Hwang has collaborated with esteemed colleagues, including John Matthew Cioffi and Tuncay Cil. These partnerships have allowed for the exchange of innovative ideas and fostered a creative environment conducive to technological advancements.

Conclusion

In conclusion, Chan-Soo Hwang is a key figure in the realm of telecommunications innovation. His extensive patent portfolio demonstrates his commitment to improving network performance and connectivity. Through his significant contributions, Hwang continues to pave the way for advancements in the field, influencing both current practices and future developments in wireless communication technologies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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