Maysam Behmanesh
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About me
I am a Postdoctoral Researcher in the GeomeriX group at the LIX research laboratory of École Polytechnique IP-Paris, since April 2022, working with Prof. Maks Ovsjanikov. My current research focuses on machine learning, particularly geometric deep learning, with an emphasis on graphs and multimodal data.
I earned my PhD in Computer Engineering-Artificial Intelligence from the University of Isfahan (UI), where I conducted research in the ILS-Lab under the supervision of Prof. Peyman Adibi. My doctoral research concentrated on geometric multimodal learning, leveraging the geometric structure of data for multimodal manifold learning and applying geometric deep learning to graph multimodal data. A part of my PhD research was completed at GIPSA-Lab in Grenoble Institute of Technology, Grenoble, where I was a visiting resercher under the supervision of Prof. Jocelyn Chanussot from 2019 to 2020.
Previously, I have worked on various topics, including chaotic time-series prediction, imbalanced data classification, neuro-fuzzy inference systems, and evolutionary computation.