Eyob Mengiste
Instructor of Civil Engineering
Affiliation: NYU Abu Dhabi
Education: PhD Technical University of Berlin
Research Websites: S.M.A.R.T. Construction Research Group
Research Areas: Construction automation, project control, digital twins, photogrammetry, and computer vision
Eyob T. Mengiste is a Civil Engineering instructor with a PhD from the Technical University of Berlin. His research integrates autonomous systems into construction processes and the built environment, with a focus on project control methodologies using image processing, spatial modeling, and artificial intelligence. These advancements improve site productivity, optimize constraints, and enhance workflow efficiency. Mengiste is advancing the use of digital twins to model operations and evaluate construction execution, providing solutions to anticipate and address practical challenges.
As part of the S.M.A.R.T. Construction Research Group at NYUAD, he contributes to the development of technology that supports more efficient and sustainable construction practices. His research, published in peer-reviewed journals and conference proceedings, addresses both the technical and practical aspects of construction automation and digitalization. In addition to his academic achievements, Mengiste has extensive experience in design and consulting for various building and infrastructure projects. This professional expertise complements his research, enabling him to apply theoretical insights to real-world engineering challenges.