About me

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Research Interests

Machine Learning, Deep Learning, Sparse Neural Networks, Computer Vision, Bio-signals, Time-series, Evolutionary Algorithm, Optimization, Bayesian Optimization

News

• 05/2024, Our paper, “Predicting maximum pitting corrosion depth in buried transmission pipelines: Insights from tree-based machine learning and identification of influential factors” has been accepted at PSEP journal (paper, code).

• 04/2024, I defended my Master thesis, “User Authentication with Brain-Computer Interfacing”, on the 26th of April at 10:30 at the University of Luxembourg.

• 04/2024, Our paper, “Efficient Decoding of Affective States from Video-elicited EEG Signals: An Empirical Investigation” has been accepted at TOMM journal (paper, code).

For more news check here.

Education

• M.S. in Computer Science (AI profile), University of Luxembourg, 2024
• B.S. in Electrical Engineering-Electronics, K. N. Toosi University of Technology, 2018