Masoomeh Azimi

Hello! I am Masoomeh Azimi, a researcher and MSc student in Computer Engineering with a focus on Artificial Intelligence from Karaj Branch, Islamic Azad University. My MSc thesis focused on predicting gastric cancer using machine learning. I have worked with real-world datasets and implemented data analysis and machine learning algorithms on various topics, including cardiovascular outcomes after COVID-19 vaccination, predicting children’s IQ based on maternal characteristics, and analyzing road accidents using data mining techniques.

I have worked with real-world datasets and implemented data analysis and machine learning algorithms on various topics, including cardiovascular outcomes after COVID-19 vaccination, predicting children’s IQ based on maternal characteristics, and analyzing road accidents using data mining techniques. ​ Additionally, I am a co-author of a paper published in Chaos, Solitons & Fractals, a Q1 journal, which explores agent-based simulation of static Nash equilibria in complex networks. This paper focuses on agent-based simulation of static Nash equilibria in complex networks. I am proficient in programming in Python, C++, and using specialized AI libraries such as TensorFlow, PyTorch, and Scikit-learn. I also have practical experience in using machine learning techniques for various applied problems. My goal is to combine specialized knowledge in artificial intelligence and machine learning with innovative approaches to deliver solutions that can expand our understanding of complex data and have a positive impact in the world of science and technology, especially in solving medical and bioinformatics problems.