The System Intelligence & Analytics (SIA) Lab is a research group at Korea University. 

Our aim is to advance system intelligence through AI- and machine learning-driven data analytics. With the rapid growth of computing power and emerging technologies, systems are becoming increasingly smart and connected, comprising interconnected intelligent entities such as machinery in smart factories, connected vehicles, and wearable devices. We are dedicated to developing innovative methodologies that harness heterogeneous, real-time, multimodal, and dynamic data often arising from modern intelligent systems in order to enable reliable and adaptive prediction and decision-making. Our approaches support applications in smart manufacturing, digital health, system safety & reliability, and beyond. 

[NEWS]

We are actively looking for highly-motivated students with a strong statistics background and programming skills. If you are interested, please see this page.

Sep 2025: [Paper acceptance] Our paper "Fairness in Machine Learning-Based Hand Load Estimation: A Case Study on Load Carriage Tasks" with Arafat Rahman (University of Virginia) and Dr Sol Lim (Virginia Tech) has been accepted at Applied Ergonomics!

Sep 2025: [Paper acceptance] Our paper "Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes" with Jingyi Gao (University of Virginia) has been accepted at Pattern Recognition! 

Sep 2025: The SIA Lab finds its new home at School of Industrial & Management Engineering, Korea University. 

[CONTACT]