About
The long-term research goal of SAIL is to integrate advanced sensing and machine learning for knowledge discovery and performance improvement of complex systems. Methodologies developed in SAIL focus on sensor-based process monitoring, anomaly detection, prediction, and optimization. Applications include advanced manufacturing, smart health, transportation, chemistry, and policing.
Research Focuses
Current research focuses of SAIL include:
- In-situ mining and anomaly detection of advanced manufacturing processes
- Additive manufacturing of metamaterials for desired properties and performances
- Multi-modal data processing for healthcare informatics
- Mobile/Web applications for smart health
- Internet of Things (IoT) with applications in advanced manufacturing and smart health
News Highlights
- June 2024: Dr. Chen Kan received the SME 2024 Susan Smyth Outstanding Young Manufacturing Engineer Award.
- June 2024: SAIL Ph.D. graduate Zehao Ye (Fall 2019-Spring 2024) has joined University of Massachusetts Chan Medical School as a Post-doc researcher starting Summer 2024.
- April 2024: Dr. Chen Kan serves as a Guest Editor of Special Issue on Geometric Data Processing and Analysis for Advanced Manufacturing in ASME Journal of Computing and Information Science in Engineering (JCISE).
- Oct. 2023, Dr. Chen Kan serves as a Guest Editor of the Annals of Operations Research (Special Issue: Integrating Data Science and Decision Analysis).
Our Sponsors
