Kiarash Farajzadehahary
Kiarash received his bachelor's and master's degrees in polymer engineering from the University of Tehran. In the meantime, he worked there as a Teaching Assistant in polymerization process engineering and the application of computers in polymer engineering. During his master’s, he worked on the compatibilization of PHB/PCL using nanoparticles and investigated morphological, rheological, mechanical, and thermal behaviors of this bio-blend.
Since May 2022, Kiarash has been working on his Ph.D. project in POLYMAT, Basque Center for Macromolecular Design and Engineering under the supervision of Prof. José M. Asua and Dr. Nicholas Ballard. His current research is focused on utilizing machine learning in emulsion polymerization.
Publicaciones
Towards online control of molar mass distributions of non-linear polymers in emulsion polymerization using reinforcement learning
K. Farajzadehahary, S. Hamzehlou, N. Ballard and J. Asua
Predictive modeling of seeded semi-batch emulsion polymerization of n-butyl acrylate using polymer chemistry-informed neural networks
Hamzehlou S., Farajzadehahary K., Larrañaga J., Ballard N. and J. Asua
Alkali-Soluble Resins as pH-Responsive Protective Colloids
M. Naderi, K. Farajzadehahary, T. Melchin, H. Weitzel, J.R. Leiza and J. Asua
Adding machine learning to the polymer reaction engineering toolbox
K. Farajzadehahary, S. Hamzehlou and N. Ballard
The hidden secrets of the average number of radicals per particle (n¯) and their implications in control of emulsion polymerization reactors
K. Farajzadehahary, S. Hamzehlou, N. Ballard and J. Asua
Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology
N. Ballard, K. Farajzadehahary, S. Hamzehlou, U. Mori and J. Asua
Polymer chemistry informed neural networks (PCINNs) for data-driven modelling of polymerization processes
N. Ballard, J. Larrañaga, K. Farajzadehahary and J. Asua
An artificial neural network to predict reactivity ratios in radical copolymerization
K. Farajzadehahary, X. Telleria-Allika, J. Asua and N. Ballard
