🕸️ Complex networks researcher
Currently immersed in a Ph.D. program at Michigan State University in the field of graph machine learning. My academic journey has been marked by a strong foundation in computer science with a master's from Université Paris-Est Créteil and another in artificial intelligence from Tehran Polytechnic University. At Michigan State University, my core machine learning and data science competencies have flourished, fueled by a relentless curiosity and a rigorous academic environment.
Michigan State University provides an ideal platform where I apply my skills in computer and data science to untangle complex structures and glean insights with real-world applications. Our team at the university strives to contribute to the evolving landscape of machine learning, grounded in collaboration and a shared goal to push the boundaries of what's possible in computer science. Together, we're committed to innovation and excellence, ensuring our work reflects a diverse array of perspectives and experiences.
I have experience in multiple disciplines including LLMs, transformers, deep learning, network science, social network analysis, complex network analysis, time series, and machine learning on graphs.
A tour of my research on complex networks across three countries — slide through, and click any project to read the full story.
Peer-reviewed papers and preprints across complex networks, graph ML, and complex systems.
Advisor: Dr. Emily Dolson · GPA 4.0/4.0 · Focus: complex networks, graph ML, complex systems
Computer Engineering — complex systems, modeling, and AI applications
Computer Engineering — machine learning, computer vision, multi-agent systems
Whether it's about research collaboration, complex networks, or graph machine learning — I'd love to hear from you.