Seokhoon Kim

Professor

Soonchunhyang University

South Korea

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Seokhoon Kim is a Professor at Soonchunhyang University in South Korea. His research areas include graph-based learning, network virtualization, and intelligent offloading strategies. He has authored several recent articles focusing on AI workloads, IoT data transmission, and proactive network management in software-defined mobile networks. Professor Kim's work contributes significantly to advancements in edge computing and smart city applications.

Articles (11)

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2025

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (2)

Dae-Young Kim

Soonchunhyang University

SOUTH KOREA

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Intae Ryoo

Kyungpook National University

SOUTH KOREA

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Seokhoon Kim

Research Interests

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Articles (11)

Graph-Based Learning in Core and Edge Virtualized O-RAN for Handling Real-Time AI Workloads

A NB-IoT data transmission scheme based on dynamic resource sharing of MEC for effective convergence computing

Data Transmission in Backscatter IoT Networks for Smart City Applications

Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software-Defined Massive Machine-Type Communications

Optimized Multi-Service Tasks Offloading for Federated Learning in Edge Virtualization

Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software-Defined Mobile Data IoT Services

Knowledge-based power monitoring and fault prediction system for smart factories

Face Antispoofing Method Using Color Texture Segmentation on FPGA

Intelligent Media Forensics and Traffic Handling Scheme in 5G Edge Networks

Adaptive Resource Optimized Edge Federated Learning in Real-Time Image Sensing Classifications

Network virtualization for real-time processing of object detection using deep learning

Collaborators (2)

Dae-Young Kim

Intae Ryoo

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