Journal
Graph Temporal Attention Self-Supervised Network for Real-Time Anomaly Detection in Industrial IoT Systems
Samia Zahid, Zilong Jin, Dae-Young Kim
ELSEVIER Engineering Applications of Artificial IntelligenceΒ·2026
Intelligence Network System Lab
INSLAB β AI & Network Systems Research
We research technologies where systems understand service intent, autonomously configure resources, and maintain AI service quality across intelligent networks.
Research Areas
Three pillars driving our research direction.
SYS
Intelligent Network Systems
Our Intelligent Network Systems research builds AI-powered networks and systems that autonomously adapt to changing conditions. We investigate intent-based autonomous networking, Edge AI deployment, and self-healing network architectures for distributed AIoT environments.
AI SystemsIntelligent NetworkingEdge AIIntent-Based Networking
Explore Area β
DATA
Data Intelligence
Our Data Intelligence research builds data collection and processing pipelines across diverse environments. We focus on network data analysis, pattern recognition, anomaly detection, and efficient learning frameworks for sparse industrial data.
Data CollectionBig DataPreprocessingNetwork Data Analysis
Explore Area β
SVC
Intelligent Services
Our Intelligent Services research develops user-centric intelligent application services for real-world AI deployment. We build IoT applications, smart city solutions, mobile services, and computer vision-based intelligent systems.
Intelligent ServicesIoT ApplicationsSmart CityMobile Services
Explore Area β
Recent Publications
5 of 109 publications
Journal
Feature Learning-Based Network State Recognition for Multi-Layer Tactical Network Management in Resource-Constrained Gateway Systems
So-Yeon Lee, Jae-Won Jang, Jungwook Choi, Soobeom Park, Dae-Young Kim
TECH SCIENCE PRESS Computers, Materials & ContinuaΒ·2026
Journal
Optimizations in Enumerating Maximal Balanced Bicliques: Pruning and Vertex Sorting
Ilkhomjon Sadriddinov, Sony Peng, Sophort Siet, Dae-Young Kim, Kyuwon Park, Doo-Soon Park, Gangman Yi
Human-centric Computing and Information Sciences (SCIE)Β·2026
Journal
Integration of Federated Learning and Graph Convolutional Networks for Movie Recommendation Systems
Sony Peng, Sophort Siet, Ilkhomjon Sadriddinov, Dae-Young Kim, Kyuwon Park, Doo-Soon Park
TECH SCIENCE PRESS Computers, Materials & Continua (SCIE)Β·2025
Domestic
AutoEncoder κΈ°λ° μΉ λ‘κ·Έ λ°μ΄ν° μ΄μ νμ§ μμ€ν
κΉμμ, μ₯μ¬μ, μ΄μμ°, μ΅μ μ±, λ°μλ², κΉλμ
Journal of Platform Technology (KCI)Β·2025
Ongoing Projects
Research projects currently in progress.
2025.07 ~ 2026.02
AIκΈ°λ° μ€λ§νΈμν° ν΄λ¦° μμ€ν κ°λ° / Development of AI-based clean systems of a smart city
Agency: Aigenn
News & Updates
Awards2024-06-15
INSLAB Wins Best Paper Award at ICC 2024
Our team's research on "Federated Learning Optimization for Edge Networks" was recognized for its contribution to efficient edge AI processing.
Events2024-05-02
Spring 2024 Workshop on AI Security
INSLAB hosted a workshop bringing together industry experts from Google and Microsoft to discuss robust AI model security practices.
Papers2025-01-10
New Paper on 6G Intelligent Networking Accepted at IEEE TNSM
Our latest research on intent-based autonomous networking for 6G systems has been accepted for publication in IEEE Transactions on Network and Service Management.
Join Our Research
We are looking for passionate researchers to push the boundaries of AI and network systems together.
Soonchunhyang University, Multimedia Bldg. M511 Β· inslab@sch.ac.kr