Pejman Tahmasebi is affiliated with the University of Wyoming in the United States and has made significant contributions to the fields of Engineering and Environmental Science. Their research spans several subfields including Ocean Engineering, Computational Mechanics, Mechanics of Materials, Mechanical Engineering, and Geophysics.
Their scholarly output includes work on various main topics such as Enhanced Oil Recovery Techniques, Hydrocarbon Exploration and Reservoir Analysis, Seismic Imaging and Inversion Techniques, Landslides and Related Hazards, Hydraulic Fracturing and Reservoir Analysis, Granular Flow and Fluidized Beds, and Groundwater Flow and Contamination Studies.
Among the recent publications is "Machine learning in geo- and environmental sciences: From small to large scale" (2020) published in Advances in Water Resources, which has received notable citations. Other significant papers in the broader research landscape associated with related topics include "A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet" (2022) in Computers & Geosciences, "Physics informed machine learning: Seismic wave equation" (2020) in Geoscience Frontiers, "Graph neural network for groundwater level forecasting" (2022) in Journal of Hydrology, and "Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications" (2021) in Physics Reports.
Frequent collaborators with whom Pejman Tahmasebi has co-authored multiple works include Serveh Kamrava, Muhammad Sahimi, Tao Bai, Tsimur Davydzenka, and Yuqi Wu.
The primary venues for publication involve journals such as Physical Review E, Advances in Water Resources, Computers & Geosciences, Geoscience Frontiers, and Computers and Geotechnics, reflecting a focus on interdisciplinary approaches at the interface of engineering and environmental science.
Pejman Tahmasebi;Ardeshir Hezarkhani;Muhammad Sahimi
Pejman Tahmasebi;Ardeshir Hezarkhani
Sadegh Karimpouli;Pejman Tahmasebi
Pejman Tahmasebi;Serveh Kamrava;Tao Bai;Muhammad Sahimi
Unknown
Yuqi Wu;Yuqi Wu;Pejman Tahmasebi;Chengyan Lin;Muhammad Aleem Zahid
Pejman Tahmasebi;Muhammad Sahimi
Pejman Tahmasebi;Muhammad Sahimi
Serveh Kamrava;Pejman Tahmasebi;Muhammad Sahimi
Sadegh Karimpouli;Pejman Tahmasebi
Pejman Tahmasebi;Muhammad Sahimi;Jef Caers
Pejman Tahmasebi;Ardeshir Hezarkhani
Pejman Tahmasebi;Pejman Tahmasebi;Farzam Javadpour;Muhammad Sahimi
Jalil Asadisaghandi;Pejman Tahmasebi
K. Mahmud;K. Mahmud;G. Mariethoz;G. Mariethoz;J. Caers;P. Tahmasebi
Unknown
Pejman Tahmasebi;Pejman Tahmasebi;Farzam Javadpour;Muhammad Sahimi;Mohammad Piri
Xiaojin Tan;Pejman Tahmasebi;Jef Caers
Pejman Tahmasebi;Farzam Javadpour;Muhammad Sahimi
Sadegh Karimpouli;Pejman Tahmasebi
Serveh Kamrava;Serveh Kamrava;Pejman Tahmasebi;Muhammad Sahimi
Pejman Tahmasebi;Ardeshir Hezarkhani
If you think any of the details on this page are incorrect, let us know.
Taiwan Semiconductor Manufacturing Company (Taiwan)
Universitat Politècnica de València
University of Twente
Cadence Design Systems
University of Tromsø - The Arctic University of Norway
Foundation Saint Lucia
Institute of Experimental Medicine
Hebei University
University Health Network
Shinshu University
San Francisco State University
University of British Columbia
University of Wisconsin–Madison
University of Ontario Institute of Technology
Northwestern University