General Research Activities

We primarily conduct research on anomaly detection and classification using model-based and data-driven methods on the following:

• Robotics and mechatronics systems to perform fault diagnosis and to enhance automation and reliability, including Digital Twinning and Industry 4.0 applications.

• Biomedical signals such as ECG and EEG to identify the key biomarkers for early detection of diseases and to enhance the accuracy of diagnostics.

 

 

Research Facilities

Research Partners and Collaborators