Documents for Review by External Referees

This webpage is intended for use as reference material by a select group of university professors and researchers. This information is CONFIDENTIAL and some parts of this document are copyrighted by publishers of journals. No part of this document may be distributed.
For questions, please contact: Dr. Sam Salem, Department Chair (e: osalem@gmu.edu p: (703) 993-1687)

Welcome!

I want to personally thank you for taking the time to review my P&T materials. Your service to the community is greatly appreciated, and I hope that you enjoy learning about the work of my research group here at Mason. This webpage contains links to all of the pertinent information summarizing my efforts. If you have any difficulty retrieving information from this site, please contact Dr. Sam Salem, the Department Chair. Lastly, I want to assure you that your access to this page is anonymous and confidential.

Short Bio:

Dr. David Lattanzi, PE is an assistant professor and the John Toups Faculty Fellow in Civil Engineering at George Mason University. Dr. Lattanzi’s research focus is the intersection of structural engineering and computer science. He studies how computer vision, robotics, and artificial intelligence can be adapted to improve structural inspection and evaluation processes. His current research initiatives include the use of unmanned aerial vehicles for inspections, the fusion of NDE data for predictive analytics, and the development of 3D computer vision methods for structural assessments. He is a licensed Professional Engineer in the state of Pennsylvania.

Education:

PhD Civil Engineering, University of Washington, 2013

MS Mechanical Engineering, University of Washington, 2013

MS  Civil Engineering, Tufts University, 2005

BS Civil Engineering, Tufts University, 2003


I. PERSONAL STATEMENT

Short summary:

My time as a professional bridge engineer and inspector highlighted the fundamental challenges of infrastructure management, and how little we understand about how structures truly behave over their life-cycles. After receiving my PE license, I devoted my PhD studies at the University of Washington to improving the infrastructure inspection process. My dissertation was focused on the use of imaging and unmanned aerial systems for inspection, leading to my expertise in artificial intelligence, computer vision, and robotics.

At Mason, I have built a research program that explores computing driven approaches to solving complex civil engineering challenges across infrastructure life-cycles, from bio-inspired machine learning for system design to syntheses of robotics and computational geometry as a pathway for new forms of monitoring. Over my five years at Mason, I have obtained over $1 million in external funding to build and grow my research group and our unique laboratory facility, the Advanced Infrastructure Monitoring (AIM) Laboratory. To date, I have mentored 1 post-doctoral fellow, 3 PhD students (1 graduated and one graduating in August 2018), 4 Masters students (2 graduated and 2 graduating in Fall 2018), and 5 funded undergraduates. Together we have published 16 focused and high quality papers (9 with student co-authors) in a range of high impact journals, filed 1 patent, and published 19 refereed papers published in major conference proceedings (14 with student co-authors). Our work has received a variety of honors and awards, including the 2017 Best Paper award for the Journal of Computing in Civil Engineering and being named as a Finalist for the NVIDIA Global Impact of Computing Award. As a result of my efforts, I was recently named the John M. Toups Faculty Fellow in Civil Engineering. As an educator at Mason, I have developed and taught classes across the curriculum, and have worked to instill interdisciplinarity in all of my course offerings. I am one of the mostly highly rated instructors in the School of Engineering, and have been nominated by my students for several teaching and mentorship awards. I am excited for what the future holds as I explore ways to broaden and deepen the impact of my research, and continue to grow as part of the dynamic Mason community.

<Download Full Personal Statement>


II. CURRICULUM VITAE

<Download Curriculum Vitae>


III. SELECTED PUBLICATIONS

This section contains a sample of selected peer-reviewed publications (underlined student co-authors). A complete list of publications, as well as web links, is also available through my hosted website.

**A. Khaloo and D. Lattanzi, “Hierarchical dense structure-from-motion reconstructions for infrastructure condition assessment,” Journal of Computing in Civil Engineering, American Society of Civil Engineers, 2017. DOI: 10.1061/(ASCE)CP.1943-5487.0000616 <Download PDF>

Khaloo, D. Lattanzi, K. Cunningham, M. Riley, and R. Dell’Andrea. “Inspection of the Placer River Trail Bridge using an unmanned aerial vehicle,” Structure & Infrastructure Engineering, Taylor & Francis, 2018. DOI:10.1080/15732479.2017.1330891 <Download PDF>

Khaloo and D. Lattanzi, “Robust normal estimation and region growing segmentation of infrastructure 3D point clouds,” Advanced Engineering Informatics, Elsevier, 2017.  DOI: 10.1016/j.aei.2017.07.002 <Download PDF>

Lattanzi and G. Miller, “Review of robotic infrastructure inspection systems,” Journal of Infrastructure Systems, American Society of Civil Engineers, 2017. DOI:10.1061/(ASCE)IS.1943-555X.0000353  <Download PDF>

Khaloo and D. Lattanzi, “Pixel-wise structural motion tracking from rectified repurposed videos,” Structural Control & Health Monitoring, Wiley, 2017. DOI:10.1002/stc.2009 <Download PDF>

**ASCE Journal of Computing in Civil Engineering 2017 Best Paper Award


IV. TEACHING MATERIALS

1. Peer Evaluation

2. Sample Syllabus

3. Sample Exploratory Learning Project Guidelines

4. Sample Exploratory Learning Project Submission

5. Sample of Flipped Classroom Lecture

6. 3D printing in the civil engineering classroom materials


V. SUPPLEMENTAL INFORMATION

1. ICORPS (Entrepreneurship Training) Lessons Learned Presentation

2. ICORPS Technical Overview Video