Kenan Jarah

Title: Kenan Jarah and Machine-Learning-Based Network Analysis

Introduction

Kenan Jarah is an inventor based in Belgrade, Serbia. His work includes a patented approach to analyzing telecommunications network traffic with machine-learning models. He is associated with B.yond, Inc.

Latest Patents

Jarah is named on one patent, titled “Network Packet Capture Analysis Using Machine Learning Model.” The invention concerns analyzing network packets in telecommunications networks to assess whether communication flows succeed or fail.

The method correlates packets and labels them according to the outcomes of communication subtasks. It then extracts features from the labeled, correlated packets and applies those features to a machine-learning model to infer the outcome of the overall communication flow. Further models may use the results to identify the root cause of a failure or determine the type of successful outcome. This approach is intended to support faster and more accurate diagnosis of network issues.

Career Highlights

Jarah’s listed patent reflects work at the intersection of telecommunications and machine learning. By using packet-level information to evaluate communication flows, the invention aims to help make network troubleshooting more efficient. He is associated with B.yond, Inc.

Collaborations

Jamal Atieh and Joseph Majdalani are identified as Jarah’s coworkers. Their shared professional context connects Jarah’s work to a broader team environment.

Conclusion

Kenan Jarah’s patent applies machine learning to network packet analysis, with the goal of improving the speed and accuracy of telecommunications troubleshooting.