Guanyu Yuan
+49 345 / 55 – 26108
hesam.soltan-mohammadi@geo.uni-halle.de
Room 4.31
von-Seckendorff-Platz 3
06120 Halle (Saale)
+49 345 / 55 – 26108
hesam.soltan-mohammadi@geo.uni-halle.de
Room 4.31
von-Seckendorff-Platz 3
06120 Halle (Saale)
I am a quantitative (geo)scientist who wants to have a better understanding of what is going on deep beneath our feet!
My research interests lie in the area of combined simulation-optimization (CSO), geostatistics, inverse problems, stochastic simulation, and uncertainty quantification all in close association with computer simulations and novel computational methods in the context of heterogeneous geosystems.
Under the umbrella of geostatistical methods, my research centers on novel multiple-point statistics (MPS) algorithms.
MPS approaches have great potential for modeling complex heterogeneities in subsurface systems by employing training image(s) as the conceptual geomodel for describing the features of the target field.
My major focus is on developing a more comprehensive and robust CSO framework for the design and optimal control of geothermal systems under uncertainty during long-term operation.
2020 – today | Ph.D. Student / Research Assistant
Martin Luther University Halle-Wittenberg, Applied Geology
2016 – 2020 | Research Assistant
Mine Environment and Hydrogeology Research Laboratory (MEHR Lab.)
2016 – 2019 | M.Sc. Mining Engineering – Mine and Environment
University of Tehran, Tehran, Iran
2012 – 2016 | B.Sc. Mining Engineering
University of Tehran, Tehran, Iran
■ Ranked 1st Among all Students of Mining Engineering – Mine and Environment
[June 2019 – University of Tehran]
■ Exempted From The National Graduate Entrance Exam
[Sept. 2016 – University of Tehran]
■ Talented Student Award
[Aug. 2016 – University of Tehran]
■ University of Tehran Foundation Scholarship Award
[Dec. 2015 – University of Tehran]
Soltan Mohammadi, H., Abdollahifard, MJ & Doulati Ardejani, F. CHDS: conflict handling in direct sampling for stochastic simulation of spatial variables. Stoch Environ Res Risk Assess 34, 825-847 (2020). https://doi.org/10.1007/s00477-020-01801-4
Abdollahifard, M.J., Mariéthoz, G. & Soltan Mohammadi, H. Investigating extreme scenarios with multiple-point geostatistics and variance maximization. Stoch Environ Res Risk Assess 34, 67–85 (2020). https://doi.org/10.1007/s00477-019-01759-y
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Tel.: +49 345 / 55 – 26151
Fax: +49 345 / 55 – 27068
daniela.rothe@geo.uni-halle.de
Room H3 1.30
von-Seckendorff-Platz 3
06120 Halle (Saale)