INSLab@Ewha
Intelligent Networked Systems Lab
Intelligent Networked Systems Lab (INSLab) at Ewha Womans University, Korea conducts research in the area of AI-driven edge computing architecture and networked systems, and network theory & algorithm. We address various problems in both fundamental theory and practical system implementation by applying AI, machine learning, statistical techniques, and algorithmic techniques. Our research goal is to bridge the gap between theoretical/algorithmic techniques and their practicality in real-world edge AI systems. Our current research interests lie primarily in the following research areas.
Research Areas
Our research focuses on intelligent systems that learn, adapt, sense, and collaborate across devices, networks, and modalities.
- Federated & Collaborative AI
- Multimodal AI
- Spatial Intelligence
- Brain–Human AI
News
EchoLoc accepted at Interspeech 2026
Our paper, "EchoLoc: Audio-Aware Object Grounding via Joint Heatmap and Box-Level Localization," has been accepted for publication at Interspeech 2026. Two undergraduate researchers are the main investigators of this work.
Dr. JinYi Yoon joins Inha University
Our PhD alumnus Dr. JinYi Yoon has joined Inha University as an Assistant Professor in the Department of Computer Engineering. Congratulations!
CollectiveFL accepted at IEEE MASS 2025
Our paper, "CollectiveFL: Edge-to-Edge Collective Intelligence Transfer in Federated Continual Learning," has been accepted for publication at IEEE MASS 2025.
CollageMap accepted at IEEE PerCom 2025
Our paper, "CollageMap: Tailoring Generative Fingerprint Map via Obstacle-Aware Adaptation for Site-Survey-Free Indoor Localization," has been accepted for publication at IEEE PerCom 2025.
GAN-Loc accepted at IEEE SECON 2024
Our paper, "GAN-Loc: Empowering Indoor Localization for Unknown Areas via Generative Fingerprint Map," has been accepted for publication at IEEE SECON 2024.