It uses mathematical (often physics-based) models enhanced with experimental or statistical data sets. Data sets can be very large in some cases leading to the use of big-data methodologies. These approaches are increasingly wide-spread across mechanical, aeronautical, materials, electrical, and chemical engineering disciplines.
Our major research themes in Data-Centric Engineering include:
Research in Digital Creative Industries
Materials Science and Condensed Matter Physics
Data Science
Control and Systems Engineering
Robotics