Mohamed H. Doweidar

Universidad de Zaragoza — Spain

Engineering · Physical Sciences

20h-index935citations81works0.82yr avg
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Research Topics

3D Printing in Biomedical Research(26), Cellular Mechanics and Interactions(25), Advanced Mathematical Modeling in Engineering(15), Advanced Numerical Methods in Computational Mathematics(13), Mathematical Biology Tumor Growth(12)

Publications81 total

Computational Modeling of Cell Behavior Driven by Growth Factor Release from Biodegradable Microcapsules
Jornadas de jóvenes investigadores del I3A·2025Open Access
An Overview from Physically-Based to Data-Driven Approaches of the Modelling and Simulation of Glioblastoma Progression in Microfluidic Devices
Archives of Computational Methods in Engineering·2025· 1 citedOpen Access
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems
Mechanics of Materials·2025· 2 citedOpen Access
Thermomechanics of Constitutive Material Models
Solid mechanics and its applications·2025
A Mathematical Modelling Study of Chemotactic Dynamics in Cell Cultures: The Impact of Spatio-temporal Heterogeneity
Bulletin of Mathematical Biology·2023· 1 citedOpen Access
Multiple Myeloma Cell Simulation Using an Agent-Based Framework Coupled with a Continuous Fluid Model
Mathematics·2023· 1 citedOpen Access
Contributors
Elsevier eBooks·2023
Massive data probabilistic framework for parameter estimation in biological problems
Elsevier eBooks·2023
Single-cell based models for cell–cell and cell–extracellular matrix interactions
Elsevier eBooks·2023
Computational modeling of multiple myeloma interactions with resident bone marrow cells
Computers in Biology and Medicine·2022· 6 citedOpen Access
Cell dynamics in microfluidic devices under heterogeneous chemotaxis and growth conditions: a mathematical study
arXiv (Cornell University)·2022Open Access
WITHDRAWN: Computational modeling of multiple myeloma growth and tumor aggregate formation
Computer Methods and Programs in Biomedicine Update·2022· 2 citedOpen Access
Dense discrete phase model for tumor cell growth analysis in fluid environments
Jornadas de jóvenes investigadores del I3A·2022Open Access
Understanding glioblastoma invasion using physically-guided neural networks with internal variables
PLoS Computational Biology·2022· 10 citedOpen Access
De la realidad histológica a la metabólica: desentrañando la respuesta celular a partir de la evolución de cultivos celulares utilizando redes neuronales guiadas por la física.
Jornadas de jóvenes investigadores del I3A·2021Open Access
Microfluídica inteligente: combinación del aprendizaje profundo y la microfluídica para predecir la evolución del glioblastoma.
Jornadas de jóvenes investigadores del I3A·2021Open Access
Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach
Computers in Biology and Medicine·2021· 27 citedOpen Access
Prediction and identification of physical systems by means of Physically-Guided Neural Networks with meaningful internal layers
Computer Methods in Applied Mechanics and Engineering·2021· 20 citedOpen Access
Enhanced Piezoelectric Fibered Extracellular Matrix to Promote Cardiomyocyte Maturation and Tissue Formation: A 3D Computational Model
Biology·2021· 7 citedOpen Access
Analysis of the Parametric Correlation in Mathematical Modeling of In Vitro Glioblastoma Evolution Using Copulas
Mathematics·2020· 4 citedOpen Access
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Frequent Co-authors

M. Doblaré(22), G Hauke(13), Jacobo Ayensa-Jiménez(10), Jose A. Sanz‐Herrera(9), Seyed Jamaleddin Mousavi(8), Sara Manzano(8), Pau Urdeitx(6), Daniel Fuster(4), Ignacio Ochoa(4), Marina Pérez-Aliacar(3), S. Jamaleddin Mousavi(3), Mario Miana(2), Teodora Ranđelović(2), Juan Mora‐Macías(2), Esther Reina-Romo(2), Jaime Domínguez(2), Sara Poveda‐Reyes(2), Gloria Gallego Ferrer(2), José Luís Gómez Ribelles(2), Sara Oliván(1)