Hassan Saadatmand

Welcome to my website. I’m a researcher with a wide variety of expertise in MATLAB.

I earned a B.Sc. degree from Eqbal Lahoori University in Mashhad, Iran, in 2013, followed by an M.Sc. degree from Ferdowsi University of Mashhad, Iran, in 2016. My research expertise encompasses evolutionary computation, deep learning, machine learning, feature selection, multi-objective optimization, image analysis, and signal processing, with a particular focus on EEG and ECG signal analysis. Additionally, I specialize in data mining and community detection.

I am proficient in MATLAB and have extensive experience in its application across the aforementioned domains. Beyond research, I am a well-experienced MATLAB teacher, having developed over 200 Persian-language courses covering the mentioned topics.

I have published some papers in fully refereed international journals mostly on evolutionary feature selection, multi-objective optimization, machine learning, and deep learning. Google Scholar

Please feel free to contact me at h.saadatmand@mail.um.ac.ir and h.saadatmand22@yahoo.com.

Some of my published papers :

[1] H. Saadatmand, M.-R. Akbarzadeh-T, Set-based integer-coded fuzzy granular evolutionary algorithms for high-dimensional feature selection, Applied Soft Computing, Volume 142, 2023, 110240, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2023.110240.

[2] Hamidreza Eskandari, Qingyao Qiao, Hassan Saadatmand, Mohammad Ali Sahraei, An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector, Energy, 2023, 129499, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2023.129499.