Sangsik Yoon

Physics and Astronomy · Indiana University

Particle physics theoretical and experimental studies Software-Defined Networks and 5G Network Traffic and Congestion Control Network Security and Intrusion Detection Quantum Chromodynamics and Particle Interactions

Publications

Citations

165

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2002

Research summary

AI-generated

Sangsik Yoon works on next-generation communication networks, focusing on 5G and beyond-5G systems, software-defined networking, and network management. Recent work applies machine learning to tasks like predicting signal quality and automating network services, and also explores quantum key distribution networks for secure communication.

5G and beyond-5G networksSoftware-defined networkingMachine learning for network managementNetwork traffic analytics and quality assuranceQuantum key distribution networks

Publication activity has been irregular, with a notable peak in 2023 (six publications) followed by a return to roughly one to two papers per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.0/year recently

Recent publications

BER Degradation Prediction Using Random Forest Model in GANA Knowledge Plane Platform for 5G/5G-A Transport Network QoS Assurance
2025
Agile<sup>AFP</sup>: ML-enabled Agile Private/Public 5G/B5G Service and Network Autonomic Federation Platform
2023
Design and Implementation of Quantum Key Distribution Network Control and Management
2021 International Conference on Information and Communication Technology Convergence (ICTC) · 2021
Information fusion based agile streaming telemetry for intelligent traffic analytics of softwarized network
2017

Publishes in

arXiv (Cornell University)×4
Physical review. D/Physical review. D.×3
Physical Review Letters×1
2021 International Conference on Information and Communication Technology Convergence (ICTC)×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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