VSE Promotion & Tenure Dossier for David Lattanzi

This webpage is intended for use as reference material for internal promotion & tenure review at George Mason University. 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)


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.


A. Letter of recommendation from Dean

(to be provided by other parties)

B. Other internal letters of recommendation

  • Memo from VSE P&T Committee

(to be provided by other parties)

  • Memo from Department Chair

(to be provided by other parties)

  • Memo from Department P&T Committee

(to be provided by other parties)

  • Peer review of the candidate’s classroom teaching and teaching materials

<Peer evaluation of teaching>

C. Employment chronology

<Employment chronology>

D. Expanded curriculum vitae

<Expanded CV>

E. 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 (2 graduated), 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 (13 while at Mason, 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.

<Personal Statement>

F. Letters from outside reviewers

(to be provided by other parties)

G. Evidence of teaching quality



[1] Kasra Ghahremani

Topic: Section loss estimation through differential 3D imaging


[2]  Achyuthan Jootoo Ramesh Bapu, 2018

Title: A hybrid structural methodology using machine learning, topology optimization and evolutionary algorithms linked via image morphology

[1] Ali Khaloo, 2018

Title: Automated condition assessment of infrastructure systems via 3D computer vision


[2] Bahman Moghaddame-Jafari, 2016

Title: Deflection measurement through 3D point cloud analysis

[1] Bahman Moghaddame-Jafari, 2016

Title: 3D stress estimation using adapted finite element model updating techniques

In progress


[1] Sara Mohamadi

Topic: Life-cycle structural assessments through digital twinning

[2] Mozhgansadat Momtaz Dargahi

Topic: Computer vision for life-cycle assessments


[1] Jeffrey Bynum

Topic: A deep learning approach to acoustic monitoring of robotic manufacturing facilities

[2] Nicole Nmair

               Topic: Finite element model calibration using 3D digital image correlation

Undergraduate research mentoring

[5] Gabriel Earle, Fall 2018

Topic: Acoustic structural health monitoring

[4] Terrence Moran, Spring 2017

Topic: Noncontact evaluation of corrosion through image analysis

[3] Richard Mayo, Spring 2016

Topic: Section loss estimation of bridges

[2] Jeffrey Bynum, 2014, Fall 2014, Spring 2015, Summer 2015

Topic 1: Fusing digital imaging and embedded sensor network information

Topic 2: Mechanical properties of fused deposition manufactured thermoplastics

[1] Jared Keller, Fall 2014 and Spring 2015

Topic: Unmanned aerial vehicles for bridge inspections

H. Other supporting evaluative materials

<Letter regarding entrepreneurial activities>

<Commonwealth Research Commercialization Fund (CRCF) award letter>

(other evidence of entrepreneurial activities can be found in Volume II)

I. List of research materials in Volume II

  1. Sample of peer-reviewed publications

J. List of teaching materials in Volume II

  1. Sample syllabus
  2. Sample exploratory learning project guidelines
  3. Sample exploratory learning project submission
  4. Sample of flipped classroom lecture
  5. 3D printing in the civil engineering classroom materials

K. List of service materials in Volume II

(none provided)

L. Procedural checklist for promotion and tenure cases

(to be provided by other parties)


A. Sample research materials

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 <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 <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 <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  <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 <PDF>

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

B. Sample teaching materials

1. <Sample syllabus>

2. <Sample exploratory learning project guidelines>

3. <Sample exploratory learning project submission>

4. <Sample of flipped classroom lecture>

5. <3D printing in the civil engineering classroom materials>

C. Additional supplemental materials

1. <ICORPS (entrepreneurship training) lessons learned presentation>

2. <ICORPS technical overview video>