SHEIBAT-OTHMAN Nida

SHEIBAT-OTHMAN Nida

Fonction : Directrice de Recherches

Equipe : PRODIS

Competence :

Emulsion polymerizations, Polyolefines, Emulsification, Double emulsions, Population balance models, Online monitoring by infrared and Raman spectroscopy

Bureau : G225

Téléphone : 04 72 43 18 50

e-mail : nida.othman@univ-lyon1.fr M’envoyer un message

Spécialité :

Génie des procédés

Biographie :

Nida Sheibat Othman obtained her Ph.D. in 2000 in chemical engineering from the University of Lyon/France. She is currently a researcher at CNRS, the French National Center for Scientific Research, in the University of Lyon. Her research interests include chemical processes modeling going from the particle scale to the reactor scale, mainly emulsion polymerization and liquid/liquid emulsification systems.

140 documents

  • Barthélémy Brunier, Nida Sheibat-Othman, Yves Chevalier, Elodie Bourgeat-Lami. Effect of Pickering stabilization on radical entry in emulsion polymerization. AIChE Journal, Wiley, 2018, 64 (7), pp.2612-2624. ⟨10.1002/aic.16159⟩. ⟨hal-02139828⟩
  • Dang Cheng, Solmaz Ariafar, Nida Sheibat-Othman, Jordan Pohn, Timothy Mckenna. Particle Coagulation of Emulsion Polymers: A Review of Experimental and Modelling Studies. Polymer Reviews, Taylor & Francis, 2018, 58 (4), pp.717-759. ⟨10.1080/15583724.2017.1405979⟩. ⟨hal-02992600⟩
  • Noureddine Lebaz, Nida Sheibat-Othman. Population balance models combined to CFD simulations for breakage prediction of emulsion droplets in SMX+ static mixers. 6th Conference on Population Balance Modelling, May 2018, Ghent, Belgium. ⟨hal-01966547⟩
  • Ana Carolina Mendez Ecoscia, Nida Sheibat-Othman, Timothy Frederick Llewellyn Mckenna. Reaction engineering of the emulsion homopolymerization of vinylidene fluoride: Progress and challenges. Canadian Journal of Chemical Engineering, Wiley, 2018, 97 (1), pp.207-216. ⟨10.1002/cjce.23308⟩. ⟨hal-02361626⟩
  • Tanmoy Kanti Deb, Noureddine Lebaz, Mahir Sinan Ozdemir, Ruxandra Govoreanu, Gürkan Sin, et al.. Monitoring and modeling of creaming in emulsions. 10th World Congress of Chemical Engineering, Oct 2017, Barcelona, Spain. ⟨hal-03097468⟩
  • Mohamed Abdelmoula Benlahrache, Sami Othman, Nida Sheibat-Othman. Multivariable model predictive control of wind turbines based on Laguerre functions. Wind Engineering, Multi-Science Publishing, 2017, 41 (6), pp.409 - 420. ⟨10.1177/0309524X17721997⟩. ⟨hal-01901756⟩
  • Mohamed Benlahrache, Khaled Laib, Sami Othman, Nida Sheibat-Othman. Fault Tolerant Control of Wind Turbine Using Robust Model Predictive Min-Max approach. IFAC-PapersOnLine, Elsevier, 2017, 50 (1), pp.9902 - 9907. ⟨10.1016/j.ifacol.2017.08.1622⟩. ⟨hal-01901768⟩
  • Elodie Chabanon, Nida Sheibat-Othman, O. Mdere, Jean-Pierre Valour, Sébastien Urbaniak, et al.. Drop size distribution monitoring of oil-in-water emulsions in SMX+ static mixers: Effect of operating and geometrical conditions. International Journal of Multiphase Flow, Elsevier, 2017, 92, pp.61 - 69. ⟨10.1016/j.ijmultiphaseflow.2017.03.001⟩. ⟨hal-01507424⟩
  • Mohamed Benlahrache, Sami Othman, Nida Sheibat-Othman. Multivariable model predictive control of wind turbines in presence of actuator fault. 2017 8th International Renewable Energy Congress (IREC), Mar 2017, Amman, France. ⟨10.1109/IREC.2017.7926034⟩. ⟨hal-01901791⟩
  • Nida Sheibat-Othman, Hugo M. Vale, Jordan M. Pohn, Timothy F. L. Mckenna. Is Modeling the PSD in Emulsion Polymerization a Finished Problem? An Overview. Macromolecular Reaction Engineering, Wiley-VCH Verlag, 2017, 11 (5), pp.1600059. ⟨10.1002/mren.201600059⟩. ⟨hal-01872869⟩