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Civil Infrastructure Automation emphasizes enhancing every facet of civil infrastructure, from construction to operations, along with its interplay with the environment and human systems by leveraging advancements in automation, robotics, manufacturing, and artificial intelligence (AI).
Research topics in this field encompass, but are not restricted to, 3D printing for construction, robotic building and assembly, AI-driven infrastructure design, robotics and augmented reality for maintenance and management, additive manufacturing (AM) of metamaterials for civil engineering uses, sustainable material AM (such as bio-composites), smart structural systems, autonomous transportation networks, and human-infrastructure interfaces. Ph.D. candidates in this specialization will work with their advisory committee to tailor coursework that optimally supports their individual research goals.
The Ph.D. program is a research-intensive degree demanding at least 64 credit hours of approved coursework and research beyond the M.S. level [or 96 credits beyond the B.S. degree]. Both university regulations and the Civil Engineering Department impose additional requirements on these credit hour allocations.