In this page, I will try to maintain a list of my publications in a presentive index. The formal category-based list would be found in my CV (or even on Google Scholar).
M. Barzegari, B. Vahidi, M. R. Safarinejad, M. Ebad, “A computational analysis of the effect of supporting organs on predicted vesical pressure in stress urinary incontinence”, Medical & Biological Engineering & Computing, Vol. 58, No. 5, pp. 1079-1089, 2020
M. Barzegari, B. Vahidi, M. R. Safarinejad, “A Clinical and Finite Elements Study of Stress Urinary Incontinence in Women Using Fluid-Structure Interactions”, arXiv Preprint
M. Barzegari, B. Vahidi, M. R. Safarinejad, “Investigating Stress Urinary Incontinence in Women Using Computational Methods and Clinical Data”, Journal of Modares Mechanical Engineering, Vol. 17, No. 5, pp. 417-427, 2017 [Persian]
M. Barzegari, B. Vahidi, M. R. Safarinejad, “Computational Simulation of Stress Urinary Incontinence using Fluid-Structure Interaction Analysis”, 25th International Conference on Mechanical Engineering, Tehran, Iran, 2017 [Persian]
M. Barzegari, L. Geris, “BioDeg: A finite element software for the simulation of the corrosion and biodegradation process in metallic biomaterials”, Journal of Open Source Software, Vol. 7, No. 74, 2022
M. Barzegari, L. Geris, “An open source crash course on parameter estimation of computational models using a Bayesian optimization approach”, Journal of Open Source Education, Vol. 4, No. 40, 2021
F. Perez Boerema, M. Barzegari, L. Geris, “A flexible and easy-to-use open-source tool for designing functionally graded 3D porous structures”, Virtual And Physical Prototyping, 2022
J. Barrasa Fano, A. Shapeti, A. Jorge Peñas, M. Barzegari, J.A. Sanz-Herrera, H. Van Oosterwyck, “TFMLAB: a MATLAB toolbox for 4D Traction Force Microscopy”, SoftwareX, Vol. 15, pp. 100723, 2021
M. Barzegari, H. Bayani, S. M. H. Mirbagheri, H. Shetabivash, “Multiphase Aluminum A356 Foam Formation Process Simulation Using Lattice Boltzmann Method”, Journal of Materials Research and Technology, Vol. 8, No. 1, pp. 1258-1266, 2019 (complete version is available on arXiv)
M. Barzegari, H. Bayani, S. M. H. Mirbagheri, “A Criterion for Bubble Merging in Liquid Metal: Computational and Experimental Study”, arXiv Preprint
M. Barzegari, H. Bayani, S. M. H. Mirbagheri, “Computational and Experimental Investigation of Air Bubbles Coalescence in Metal Melts”, 25th International Conference on Mechanical Engineering, Tehran, Iran, 2017 [Persian]
H. Bayani, S. M. H. Mirbagheri, M. Barzegari, and S. Firoozi, “Simulation of Unconstrained Solidification of A356 Aluminium Alloy on Distribution of Micro/Macro Shrinkage”, Journal of Materials Research and Technology, Vol. 3, No. 1, pp. 55-70, 2014
S. M. H. Mirbagheri, H. Bayani, M. Barzegari, and S. Firoozi, “Simulation of Liquid Flow Permeability for Dendritic Structures during Solidification Process”, Computational Fluid Dynamics Technologies and Applications, Intec, 2011
S. M. H. Mirbagheri, H. Bayani, M. Barzegari, “Micro Shrinkages Simulation in Mushy Zone by Permeability Calculation”, Journal of Iranian Foundrymen’s Society, Vol. 102, pp. 42-50, 2013 [Persian]
F. Firouzi, B. Farahani, E. Panahi, M. Barzegari, “Task Offloading for Edge-Fog-Cloud Interplay in the Healthcare Internet of Things (IoT)”, Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2021
F. Firouzi, B. Farahani, M. Barzegari, M. Daneshmand, “AI-Driven Data Monetization: The other Face of Data in IoT-based Smart and Connected Health”, IEEE Internet of Things Journal, 2020
B. Farahani, M. Barzegari, F. Shams, K. A. Shaik, “Towards collaborative intelligent IoT eHealth: From device to fog, and cloud”, Microprocessors and Microsystems, vol. 72, 102938, 2020 *, pp. 134-140, Crete, Greece, 2019
B. Farahani, M. Barzegari, F. Shams, “Towards Collaborative Machine Learning Driven Healthcare Internet of Things”, Proceedings of the International Conference on Omni-Layer Intelligent Systems, pp. 134-140, Crete, Greece, 2019
M. Barzegari, B. Vahidi, M. R. Safarinejad, M. Hashemipour, “Pathological Analysis of Stress Urinary Incontinence in Females using Artificial Neural Networks”, arXiv Preprint