Justin Krometis



Computational Scientist
jkrometis@vt.edu
(540) 231-8793

Justin Krometis joined ARC in August 2011. Prior to joining Virginia Tech, he spent seven years doing traffic simulations and natural disaster modeling for an emergency management company and a state Department of Transportation.

Research Interests

My research is in development of theoretical and computational frameworks to address a number of data analytics problems, such as how to incorporate and balance data and expert opinion into decision-making, and how to estimate model parameters, including high- or even infinite-dimensional quantities, from noisy data. Areas of interest include: Bayesian Inference, Parameter Estimation, Optimal Control, Uncertainty Quantification, Numerical Analysis, Scientific Computing.

From my previous work experience in the public and private sectors, I also have significant experience in emergency preparedness, evacuation and other emergency planning, and transportation modeling for both planning and evacuation applications.

Publications and Presentations

Jeff Borggaard, Nathan Glatt-Holtz, and Justin Krometis. A Bayesian Approach to Estimating Background Flows from a Passive Scalar. arXiv preprint arXiv:1808.01084 (Submitted for publication), 2018.

Jeff Borggaard, Nathan Glatt-Holtz, and Justin Krometis. On Bayesian consistency for flows observed through a passive scalar. arXiv preprint arXiv:1809.06228 (Submitted for publication), 2018.

Jeff Borggaard, Nathan Glatt-Holtz, and Justin Krometis. GPU-Accelerated Particle Methods for Evaluation of Sparse
Observations for PDE-Constrained Inverse Problems. arXiv preprint arXiv:1808.10580 (Submitted for publication), 2018.

Justin Krometis. A Bayesian Approach to Estimating Background Flows from a Passive Scalar. PhD thesis, Virginia
Polytechnic Institute and State University, 2018. (link)

Sid Baccam, David Willauer, J. Krometis, Yongchang Ma, Atri Sen, Mike Boechler. Mass Prophylaxis Dispensing Concerns: Traffic and Public Access to PODs. Biosecurity and Bioterrorism, 9(2):139-51, June 2011.

Yongchang Ma, David Willauer, Justin Krometis, Atri Sen, Sid Baccam. “Site Considerations for Points of Dispensing After Biological Terrorist Attack.” Transportation Research Record: Journal of the Transportation Research Board 2234.1 (2011): 51-61.

Yongchang Ma, Justin Krometis, and Atri Sen. “Radiological emergency evacuation trip generation model developed from telephone survey.” Transportation Research Board 88th Annual Meeting. No. 09-2264. 2009.

Beate Schmittmann, Justin Krometis, and Royce Zia. Will jams get worse when slow cars move over? Europhysics Letters, Vol. 70 (3), pp. 299-305, 2005. arXiv:cond-mat/0503413

Education

Ph.D., Mathematics, May 2018, Virginia Tech, Blacksburg, VA
Committee: Dr. Jeff Borggaard, Dr. Nathan Glatt-Holtz, Dr. Lizette Zietsman, Dr. Matthias Chung
Dissertation: A Bayesian Approach to Estimating Background Flows from a Passive Scalar

M.S., Mathematics, May 2004, Virginia Tech, Blacksburg, VA
Committee: Dr. George Hagedorn, Dr. Beate Schmittmann, Dr. Royce Zia
Thesis: Lane Preference in a Simple Traffic Model

B.S., Physics, May 2004, Virginia Tech, Blacksburg, VA

B.S., Mathematics, May 2002, Virginia Tech, Blacksburg, VA

Professional Experience

Computational Scientist, Advanced Research Computing, Virginia Tech, Aug 2011 – present

Senior Transportation Analyst and Division Projects Lead, IEM, Inc, Dec 2005 – Aug 2011

Part-time Curriculum Development Assistant, Virginia Tech Math Department, Jan 2011 – Aug 2011

Transportation Modeler, North Carolina Department of Transportation, Sept 2004 – Dec 2005

Awards and Credentials

Engineer-in-Training, Virginia, 2009

Small Projects Task Lead of the Year, IEM, 2007

Outstanding Senior, Virginia Tech Physics Department, 2004

Outstanding Senior, Virginia Tech Mathematics Traditional Option, 2002