Call for Papers

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 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

• NVIDIA Jetson TX2

• INTECO Two Rotor Aerodynamical and ABS Antilock Braking Systems

• Dell Bright Cluster HPC and Digital Twin System:
  • 1 PowerEdge R6525 Head Node
  • 3 PowerEdge R6525 Compute Node
  • 1 PowerEdge R750 GPU Node
  • 1 PowerEdge R6515 SDP Node
• Festo CP LAB Variant 3, which includes the following:
  • 6 CP Lab pallet transfer system
  • 4 system trainers with A4 frames
  • 2 CP Bridge
  • 1 mobile robot for pallet transport
  • 2 magazine application modules
  • 1 measurement application module
  • 1 muscle press application module
  • 1 tunnel furnace application module
  • 1 workpiece output application module

Research Partners and Collaborators