  | Mehrian, M. (2019). Development and optimization of in silico models of 2D cell expansion and 3D neotissue formation in the context of tissue engineering therapy design and translation [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231754 |
 | Mehrian, M., Papantoniou, I., Lambrechts, T., & Geris, L. (2018). Computational modelling of the effect of growth factors on human mesenchymal stem cell proliferation in 3D porous scaffolds. In Proceedings of the Virtual Physiological Human conference (VPH), Zaragoza, Spain, 5-7 September 2018.  Peer reviewed |
 | Mehrian, M., olofsson, S., Misener, R., & Geris, L. (2018). Multi-objective optimization of cost-efficient neotissue growth inside 3D scaffolds using evolutionary algorithms. In Proceedings of the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE). Peer reviewed |
 | Mehrian, M., Papantoniou, I., Lambrechts, T., & Geris, L. (2018). Computational modelling of human mesenchymal stem cell proliferation and extra cellular matrix production in 3D porous scaffolds in a perfusion bioreactor. In Proceedings of the 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE). Peer reviewed |
 | Olofsson, S., Mehrian, M., Calandra, R., Geris, L., Deisenroth, M. P., & Misener, R. (2018). Bayesian Multi-Objective Optimisation with Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. IEEE Transactions on Biomedical Engineering. doi:10.1109/TBME.2018.2855404 Peer Reviewed verified by ORBi |
 | Mehrian, M., Guyot, Y., Papantoniou, I., Olofsson, S., Sonnaert, M., Misener, R., & Geris, L. (2017). Maximizing neotissue growth kinetics in a perfusion bioreactor: An in silico strategy using model reduction and Bayesian optimization. Biotechnology and Bioengineering. doi:10.1002/bit.26500 Peer Reviewed verified by ORBi |
 | olofsson, S., Mehrian, M., Geris, L., Calandra, R., Deisenrotha, & Ruth, M. (2017). Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-up. In Computer Aided Chemical Engineering. Elsevier. doi:10.1016/B978-0-444-63965-3.50361-5 Peer reviewed |
 | Mehrian, M. (2017). Managing donor-related variability in cell production by means of data-based modelling. In Proceedings of the 5th Belgian Symposium on Tissue Engineering (BSTE). Peer reviewed |
 | Mehrian, M., guyot, Y., Papantoniou, I., & Geris, L. (01 February 2017). MAXIMIZING NEOTISSUE GROWTH IN A PERFUSION BIOREACTOR USING BAYESIAN OPTIMIZATION [Poster presentation]. GIGA day 2017. |
 | Mehrian, M., guyot, Y., Papantoniou, I., & Geris, L. (2017). Model-Based Optimization of the Medium Refreshment Regime During Neotissue Growth in a Perfusion Bioreactor. In Proceedings of the Foundations of Computer Aided Process Operations / Chemical Process Control (FOCAPO/CPC). Peer reviewed |
 | Mehrian, M., guyot, Y., Papantoniou, I., & Geris, L. (2016). Improving Perfusion Bioreactor Yields by Using Particle Swarm Optimization. In Proceedings of the 15th Belgian National Day on Biomedical Engineering. Peer reviewed |
 | Mehrian, M., Guyot, Y., Papantoniou, I., & Geris, L. (2016). Optimizing the medium refreshment regime during neotissue growth in a perfusion bioreactor described by a reduced computational model capturing curvature and shear stress distribution. In Proceedings of the 4th Belgian Symposium on Tissue Engineering (BSTE). Peer reviewed |
 | Mehrian, M., Guyot, Y., & Geris, L. (2015). A reduced model developed for describing neotissue growth during dynamic bioreactor culture. In Proceedings of the IEEE-EMBS Benelux Chapter Meeting. Peer reviewed |
 | Mehrian, M., Germain, M., & Geris, L. (22 June 2015). Determining optimum parameter bounds for a model of Wnt, BMP and ERK Crosstalk during Osteochondrogenic Differentiation using Genetic Algorithms [Poster presentation]. CASyM Summer school Sweden 2015, Djurönäset, Sweden. |
 | Mehrian, M., Asemani, D., Arabameri, A., Pourgholaminejad, A., & Hadjati, J. (2014). Modeling of tumor growth in dendritic cell-based immunotherapy using artificial neural networks. Computational Biology and Chemistry, 48, 21-8. doi:10.1016/j.compbiolchem.2013.09.007 Peer Reviewed verified by ORBi |
 | Mehrian, M., Arabameri, A., Sedghi, A., & Asemani, D. (2013). Modeling of Dendritic Cell-based vaccination Immunotherapy using Artificial Neural Networks. In Proceedings of the World Conference on Innovation and Computer Science. Peer reviewed |
  | Mehrian, M. (2013). Modeling of Antitumor Drug Pharmacodynamics Using Genetic algorithm. In Proceedings of the 21st Iranian Conference on Electrical Engineering (ICEE). Peer reviewed |
Mehrian, M. (2012). Minimization of THD and Transmission Losses Using GA SVC controller. In Proceedings of the PSC conference, March 2012. Peer reviewed |