Kamyar Zeinalipour
Scholar

Kamyar Zeinalipour

Google Scholar ID: RewxhZwAAAAJ
University of Siena
Artificial IntelligenceMachine LearningSignal processingNLPGNNs.
Citations & Impact
All-time
Citations
86
 
H-index
6
 
i10-index
3
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Master's Thesis: Novel approaches for ECG signal classification by topological feature extraction and utilizing a graph neural network branch known as graph isomorphism network; Bachelor's Thesis: The effect of economic indicators on the first and second markets of the Tehran Stock Exchange.
Research Experience
  • 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 like MLP, RNNs, and LSTM, along with hybrid models that use physical knowledge and neural networks. Contributed to the development of the French version of WebCrow, working with the University of Siena, Expert.AI, and Côte d’Azur University.
Education
  • PhD: University of Siena, in Artificial Intelligence; Master's: University of Siena, in Applied Mathematics (Data Science focus); Bachelor's: University of Hormozgan (Iran), in Applied Statistics.
Background
  • Research Interests: Machine Learning and Artificial Intelligence, specifically Graph Neural Networks, Image Processing, Natural Language Processing, and Bioinformatics. Professional Field: Applied Mathematics and Data Science.
Co-authors
0 total
Co-authors: 0 (list not available)