Sensing, Analytics, & Intelligence Lab (SAIL)
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.Â
Research
Current research focuses of SAIL include:
In-situ mining and anomaly detection of advanced manufacturing processes
Multi-modal data processing for healthcare informatics
Additive manufacturing of advanced materials for desired properties and performances
Robotics and automation for manufacturing and healthcare applications
Mobile/Web applications for smart health
Internet of Things (IoT) with applications in advanced manufacturing and smart health
Our Sponsors
Contact
Chen Kan, Ph.D.
Assistant Professor
Department of Industrial, Manufacturing, and Systems Engineering (IMSE)
Center on Stochastic Modeling, Optimization, and Statistics (COSMOS)
The University of Texas at Arlington
Email: chen.kan@uta.edu
Phone: 817-272-3092
Address: Woolf Hall 420L, 500 West First Street, Arlington, TX 76019, USA