Kamyar Zeinalipour is a PhD student in Artificial Intelligence at the University of Siena, researching the use of knowledge graphs for Image recognition. He holds a Master’s degree in Applied Mathematics with a focus on Data Science from the University of Siena and a Bachelor’s degree in Applied Statistics from the University of Hormozgan (Iran). His current research interests lie in Machine Learning and Artificial Intelligence, specifically Graph Neural Networks, Image Processing, Natural Language Processing, and Bioinformatics.
Kamyar has collaborated with Baker Hughes and the University of Siena to estimate the amount of pollution of gas turbines, using various models such as shallow models, and various Deep Neural Networks such as MLP, RNNs, and LSTM, along with hybrid models that use physical knowledge and neural networks. He also contributed to the development of the French version of WebCrow, working with the University of Siena, Expert.AI, and Côte d’Azur University. His thesis for his Master’s degree concerned novel approaches for ECG signal classification by topological feature extraction and utilizing a graph neural network branch known as graph isomorphism network, while his Bachelor’s focusing on “The effect of economic indicators on the first and second markets of the Tehran Stock Exchange”.