PhD, Environmental Modeling, MSc Engineering Physics, BSc Political Economics
I defended my PhD thesis on predictive modeling of groundwater contamination at the Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH, Royal Institute of Technology in 2015. During my PhD studies I spent a year as a Fulbright visiting student researcher at the Lawrence Berkeley National Laboratory in California. I have also worked as a postdoctoral researcher at the Division of Systems Analysis and Economics, KTH, and as a research scientist at Folksam Insurance Group in Stockholm.
My previous studies regard discrete car type choice models and the impact of climate policys in Sweden, as well as transport externalities such as traffic risks, health effects of air pollution, and models to predict the transport and diffusion of contaminants.
At the Institute for Futures Studies I study Artificial Intelligence (AI); the ambition is to develop methods to predict the diffusion of AI-applications with the overall aim of better understanding their social impacts.
Three recently published works:
Engström, E., Forsberg, B. (2019) “Health impacts of active commuters’ exposure to traffic-related air pollution in Stockholm, Sweden”, Journal of Transport & Health 14, doi: 10.1016/j.jth.2019.100601
Engström, E., Algers, S., Beser Hugosson, M. (2019) “The choice of new private and benefit cars vs. climate and transportation policy in Sweden”, Transportation Research Part D: Transport and Environment 69, pp. 276-292, doi: 10.1016/j.trd.2019.02.008
Engström, E., Mörtberg, U., Karlström, A., Mangold, M. (2017) “Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan”, Hydrogeology Journal 25(4), pp. 1077-1091, doi: 10.1007/s10040-016-1504-x
Three frequently cited works:
Engström, E., Thunvik, R., Kulabako, R., Balfors, B. (2015) “Water Transport, Retention, and Survival of Escherichia coli in Unsaturated Porous Media: A Comprehensive Review of Processes, Models, and Factors”, Critical Reviews in Environmental Science and Technology 45(1), pp. 1-100 doi: 10.1080/10643389.2013.828363
Engström, E., Balfors, B., Mörtberg, U., Thunvik, R., Gaily, T., Mangold, M. (2015) “Prevalence of Microbiological Contaminants in Groundwater Sources and Risk Factor Assessment in Juba, South Sudan”, Science of the Total Environment 515–516, pp. 181–187, doi: 10.1016/j.scitotenv.2015.02.023
Engström, E., Reiser, I. and Nishikawa, R. (2009) “Comparison of power spectra for tomosynthesis projections and reconstructed images”, Medical Physics 36(5), pp. 1753-1758, doi: 10.1118/1.3116774
- The choice of new private and benefit cars vs. climate and transportation policy in Sweden
- Applying spatial regression to evaluate risk factors for microbiological contamination of urban groundwater sources in Juba, South Sudan
- Modeling bacterial attenuation in onsite waste-water treatment systems using the active region model and column-scale data