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.  

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
COMPUTERS & CHEMICAL ENGINEERING Vol. 209 10.1016/j.compchemeng.2026.109604 01/06/2026
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
POLYMER Vol. 359 10.1016/j.polymer.2026.130237 01/01/2026
Alkali-Soluble Resins as pH-Responsive Protective Colloids
M. Naderi, K. Farajzadehahary, T. Melchin, H. Weitzel, J.R. Leiza and J. Asua
ACS Applied Materials & Interfaces Vol. 17, Núm. 30, pp. 43750–43760 10.1021/acsami.5c12131 30/07/2025
Adding machine learning to the polymer reaction engineering toolbox
K. Farajzadehahary, S. Hamzehlou and N. Ballard
PROGRESS IN POLYMER SCIENCE Vol. 170 10.1016/j.progpolymsci.2025.102029 01/01/2025
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
Chemical Engineering Journal Vol. 487 10.1016/j.cej.2024.150681 01/01/2024
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
COMPUTERS & CHEMICAL ENGINEERING Vol. 187 10.1016/j.compchemeng.2024.108739 01/01/2024
Polymer chemistry informed neural networks (PCINNs) for data-driven modelling of polymerization processes
N. Ballard, J. Larrañaga, K. Farajzadehahary and J. Asua
Polymer Chemistry Vol. 15, Núm. 44, pp. 4580–4590 10.1039/d4py00995a 01/01/2024
An artificial neural network to predict reactivity ratios in radical copolymerization
K. Farajzadehahary, X. Telleria-Allika, J. Asua and N. Ballard
Polymer Chemistry Vol. 14, Núm. 23, pp. 2779–2787 10.1039/d3py00246b 01/01/2023