Abolfazl HaqiqiFar

Abolfazl HaqiqiFar
Abolfazl HaqiqiFar

Abolfazl HaqiqiFar

Master of Science, Faculty of Physics, Shahid Beheshti Univercity

🔬 Research Interests:

  • Network Science
  • Computational Neuroscience
  • Graph Neural Networks

🎓 Education:

  • Master’s degree in Statistical Physics and Complex Systems, Shahid Beheshti University
  • Bachelor degree in Physics, Bu-Ali Sina University

About Me:

👋 Hey there! I’m Abolfazl HaqiqiFar, a researcher with a deep dive into Computational Neuroscience. Right now, I’m chasing my Master’s degree in Statistical Physics and Complex Systems at Shahid Beheshti University. My academic adventure has led me to explore the cool connections between physics, data science, and the brain. My thesis is all about graph neural networks, a super cool field that’s my main focus. But that’s not all! I also love digging into social science.

My research is all about trying to understand the brain better and how it works with complex systems. I’m super curious about how collective behavior in neuronal networks affects our thinking. My goal is to bring physics and neuroscience closer together, uncovering the basic rules that make the brain tick.

I’m always up for connecting with other researchers, data nerds, and anyone who loves the mix of science and tech. Let’s work together, share our thoughts, and uncover the secrets of the human mind.

📚 Thesis Title:

  • A Comparative Analysis of the Functional Brain Network in Controls and Individuals with Autism Spectrum Disorder using Graph Neural Networks and Hierarchical Clustering

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Reza Jafari

I am a professor of complex systems physics and a member of the faculties at Shahid Beheshti University (physics department and Institute of Cognitive and Brain Sciences) and affiliated at Irkutsk National Research Technical University & Metropolitan London University. In December 2005, I obtained my PhD in physics from Sharif University of Technology in Tehran, Iran. My study focuses on complex networks and higher-order interaction systems, as well as a system with many interacting agents with collective and non-linear behaviors. My research study is not only theory-based, which allows me to gain a deeper understanding of phenomena. I also use real data to analyze and answer specific issues in a system. Over my 17-year research career, I have accumulated knowledge and done research in theory and pure science, as well as applied data science, network and quantum machine learning, and company-related activities. My experience in international cooperation leads me to believe that I can be successful and efficient in collaboration with scientists at other universities by fostering synergy in scientific and educational promotion. For a long time, my research method has been influenced by complexity theory, network science, and data science. This allows me to interact with academics from different disciplines on a wide range of subjects, including social media and artificial intelligence, as well as some topics in social science, cognitive science, brain networks, and emerging new technologies. Addressing these concerns, in my opinion, is critical to building a fair and just society. Furthermore, I am able to resolve any new issues that arise promptly.