David A. Lattanzi, PE

Assistant Professor
John Toups Faculty Fellow in Civil Engineering
Telephone: (703) 993-3695
Fax: (703) 993-9790
Email: dlattanz@gmu.edu
1406 Nguyen Engineering Building
lrg.gmu.edu

Education

  • PhD, Structural Engineering, University of Washington, 2013
  • MS, Mechanical Engineering, University of Washington, 2013
  • MS, Structural Engineering, Tufts University, 2005
  • BS, Civil Engineering, Tufts University, 2003

Teaching:

Structural engineering

Research:

Structural health monitoring, robotic inspection systems, artificial intelligence applications in civil engineering, computer vision, post-disaster triage assessment.

Selected Publications:

K. Ghahremani, A. Khaloo, S. Mohamadi, and D. Lattanzi, “Automated 3D damage detection in structural components for finite element model updating,” Journal of Aerospace Engineering [Special issue], ASCE (2018)

B. Jafari, A. Khaloo, and D. Lattanzi, “Deformation tracking in 3D point clouds via statistical sampling of cloud-to-cloud distances,” Journal of Nondestructive Evaluation, Springer (2017).

A. Khaloo and D. Lattanzi, “Robust normal estimation and region growing segmentation of infrastructure 3D point cloud models,” Advanced Engineering Informatics, Elsevier (2017).

A. Jootoo and D. Lattanzi, “Bridge type classification: Supervised learning on a modified NBI dataset,” Journal of Computing in Civil Engineering, ASCE (2017).

A. Khaloo, D. Lattanzi, K. Cunningham, M. Riley, and R. Dell’Andrea, “Unmanned aerial vehicle (UAV) inspection of the Placer River Trail Bridge through image-based 3D modelling,” Structure and Infrastructure Engineering, Taylor & Francis (2017).

A. Khaloo and D. Lattanzi, “Hierarchical dense structure-from-motion reconstructions for infrastructure condition assessment,” Journal of Computing in Civil Engineering, ASCE (2016).