Research Focus Area: Transdisciplinary Infrastructure Engineering

Recent technological advances are enabling civil infrastructure systems with intelligent capabilities to adapt to dynamically changing environments. For example, concepts of machine learning combined with sensors and actuators can allow a system to learn from an environment and take actions to optimize its response.

Future engineers must be equipped with capabilities to design such systems to provide society with more efficient infrastructures. This requires a highly multi-disciplinary approach (e.g., control theory, artificial intelligence, sensing systems, optimization theory, asset management, etc.). The Transdisciplinary Infrastructure Engineering program offers such training opportunities to students desiring to pursue this non-traditional path. Typical students will be Ph.D. candidates conducting multi-disciplinary research that addresses the transdisciplinary infrastructure challenge.

Research Faculty