Students

	Zahra Gholamalian (PhD, 2023-).
	Maryam Mohammadbagheri (MSc, 2022-). Co-advised by Iman Izadi. Project: Detection of faults in heavy-duty machinery using Bayesian networks
	Seyyed Ali Rad (MSc, 2022-). Co-advised by Farzaneh Shayegh. Project: Identify important structures in autism spectrum disorder using graph neural network
	Hamidreza Sadeghi (MSc,2021-). Project: Predicting the survival of cancer using genetic data
	Zahra Cheraghian (MSc, 2021-). Project: Identification of autism spectrum disorder by combining structural and functional data using graph neural networks.
	Ali Iranidoust (PhD, 2021-). Co-advised by Farzaneh Shayegh. Project: Developing an explainable AI model to extract effective mechanisms in autism spectrum disorder.

Alumni

	Milad Mohammadrezaei Kalemasihi (PhD, 2018-2024). Co-advised by Ahmadreza Tabesh. Project: Physical features extraction for online state of health (SoH) estimation of lithium-ion batteries based on data-driven methods.
	Danial Firouzimagham (MSc, 2021-2023). Co-advised by Ahmadreza Tabesh. Project: State of health estimation of lithium-ion batteries using a weakly supervised learning method.
	Imaneh Hajibagheri (MSc, 2020-2023). Project: Anomaly detection in mobile networks.
	Fahimeh Alipour (MSc, 2019-2022). Co-advised by Pouria Ramazi. Project: Analysis and prediction of collective decision making under two tolerance thresholds.
	Zahra Gholamalian (MSc, 2019-2022). Co-advised by ‪Massoud Reza Hashemi. Project: Predicting individual COVID-19 infections using coupled hidden Markov models.
	Narjes Roofigar (MSc, 2018-2021). Co-advised by Farzaneh Shayegh. Project: Training spiking neural networks.
	Ali Katiraei (MSc, 2018-2021). Project: Cancer Halmark investigation using topics modeling.
	Moein Purrezaei (MSc, 2018-2021). Co-advised by Ahmadreza Tabesh. Project: Smart battery charging management capable of learning consuming load pattern to improve battery lifespan in electric vehicles.
	Ali Yousefian (MSc, 2017-2020). Co-advised by Farzaneh Shayegh. Project: Analysis of brain signals based on complex networks to improve the diagnosis of autism.
	Arezoo Haratiyan (MSc, 2017-2019) Project: Blood test data analysis using machine learning methods.