Amir Arjmandi-Tash
PhD Researcher
University of Sheffield
Developing swelling-driven-disintegration hybrid models and inverse-design platforms using mechanistic modelling and deep learning, generative AI, global/local optimisation methods. Interested in deep neural networks (Pytorch, Keras, Tensorflow) and population balance modelling.
M.SC in Physical Chemistry and B.SC in Chemistry both from University of Tehran, Iran.