We research technologies where systems understand service intent, autonomously configure resources, and maintain AI service quality across intelligent networks.
Three pillars driving our research direction.
Our intelligent networking & systems research designs the system and network environments that keep AI services running without interruption. We study self-healing architectures that understand user intent and autonomously optimize themselves, spanning intent-based networking, Edge AI deployment, and distributed AIoT environments.
Our data intelligence research builds data-driven learning frameworks that allow systems to recognize their own state and anticipate problems. Through network data analysis, pattern recognition, and anomaly detection, we cultivate the intelligence needed to respond proactively to changing environments.
Our intelligent services research develops user-centric AI services that stay reliable even as their environment shifts. Built on Edge AI running on embedded boards, we bring IoT applications, smart city solutions, mobile services, and computer vision systems into real-world deployment.
5 of 107 publications
Ilkhomjon Sadriddinov, Sony Peng, Sophort Siet, Dae-Young Kim, Kyuwon Park, Doo-Soon Park, Gangman Yi
Sony Peng, Sophort Siet, Ilkhomjon Sadriddinov, Dae-Young Kim, Kyuwon Park, Doo-Soon Park
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Sadriddinov Ilkhomjon, Sony Peng, Sophort Siet, Dae-Young Kim, Doo-Soon Park, Gangman Yi
So-Yeon Lee, Dae-Young Kim
Research projects currently in progress.
Agency: Aigenn
Our team's research on "Federated Learning Optimization for Edge Networks" was recognized for its contribution to efficient edge AI processing.
INSLAB is now accepting applications for M.S. and Ph.D. candidates for the Fall 2026 semester. We are looking for motivated students interested in AI, networking, and IoT.
Team members presented two papers at the International Conference on Advanced Research in Computing and Informatics (ARCI 2025) held in Granada, Spain.
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
