Petroleum Engineering

Pejman Tahmasebi

Assistant Professor

Email: ptahmase@uwyo.edu | Phone: 307-766-6555

Physical Location: Engineering Building Room 4026

Mailing Address: Dept. 3295, 1000 E. University Avenue
Laramie, WY 82071

How do environmental, economic and health factors influence regional vulnerability to COVID-19?

Pejman Tahmasebi, Salome M.S. Shokri-Kuehni, Muhammad Sahimi, Nima Shokri
medRxiv 2020.04.09.20059659; doi: https://doi.org/10.1101/2020.04.09.20059659
This article is a preprint and has not been certified by peer review [what does this mean?]. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.

This COVID-19 research was compiled to look at some other parameters that have not typically been considered in other studies, parameters such as the economic conditions, air pollution, age 65+, diabetes, and many others. It is suggestive that age and diabetes are the most significant variables.

Education:

Ph.D. in Reservoir Modeling, Department of Petroleum Engineering, University of Southern California, Los Angeles, California (2012)
M.Sc. in Geosystem Engineering, Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran (2009)
B.Sc. in Geosystem Engineering, Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran (2007)

Research Interests:

My research interests are in the general area of geosciences and porous media modeling. This is a broad area that includes geophysics, geology, and geomechanics, as well as fluid flow and transport processes, all in close association with computer simulation and computational methods. Addressing most of the current complex problems requires integration of various types of data, which on its own is another daunting problem. Thus, developing more complex, but also more realistic porous media models, requires novel physical concepts. It also requires new datasets, collected over disparate length scales, as well as new computational tools for integrating all such ingredients. This requires new approaches to data analysis, multivariate modeling, and temporal adjustment.

Read Dr. Tahmasebi's current curriculum vitae (CV).
Read more about Dr. Tamhasebi's research here.
See Dr. Tahmasebi's Google Scholar citations here.