Justin Krometis joined ARC in 2011. Prior to joining Virginia Tech, he spent seven years doing natural disaster and traffic modeling in the private and public sectors.
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.
Jeff Borggaard, Nathan Glatt-Holtz, and Justin Krometis*. A Bayesian Approach to Estimating Background Flows from a Passive Scalar. SIAM/ASA Journal on Uncertainty Quantification, 2020, DOI: 10.1137/19M1267544. (See also arXiv:1808.01084)
Jeff Borggaard, Nathan Glatt-Holtz, and Justin Krometis*. On Bayesian consistency for flows observed through a passive scalar. Annals of Applied Probability, 2020, DOI: 10.1214/19-AAP1542. (See also arXiv:1809.06228)
Jeff Borggaard, Nathan Glatt-Holtz, and Justin Krometis*. GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs. Journal of Computational Physics, 2019, DOI: 10.1016/j.jcp.2019.04.034. (See also arXiv:1808.10580)
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, DOI: 10.1089/bsp.2010.0027.
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, DOI: 10.3141/2234-06.
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, DOI: 10.1209/epl/i2005-10006-6. (See also arXiv:cond-mat/0503413)
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
B.S., Physics, May 2004, Virginia Tech, Blacksburg, VA
B.S., Mathematics, May 2002, Virginia Tech, Blacksburg, VA
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
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