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Students
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 |
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Seyyed Ali Rad (MSc, 2022-). Co-advised by Farzaneh Shayegh. Project: Identify important structures in autism spectrum disorder using graph neural network |
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Zahra Cheraghian (MSc, 2021-). Co-advised by Farzaneh Shayegh. Project: Identification of autism spectrum disorder by combining structural and functional data using graph neural networks. |
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Ali Iranidoust (PhD, 2021-). Co-advised by Farzaneh Shayegh. Project: Developing an explainable AI model to extract effective mechanisms in autism spectrum disorder. |
Alumni
Hamidreza Sadeghi (MSc,2021-2024). Project: Predicting the survival of cancer using genetic data |
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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. |
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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. |
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Imaneh Hajibagheri (MSc, 2020-2023). Project: Anomaly detection in mobile networks. |
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Fahimeh Alipour (MSc, 2019-2022). Co-advised by Pouria Ramazi. Project: Analysis and prediction of collective decision making under two tolerance thresholds. |
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Zahra Gholamalian (MSc, 2019-2022). Co-advised by Massoud Reza Hashemi. Project: Predicting individual COVID-19 infections using coupled hidden Markov models. |
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Narjes Roofigar (MSc, 2018-2021). Co-advised by Farzaneh Shayegh. |
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Ali Katiraei (MSc, 2018-2021). |
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Moein Purrezaei (MSc, 2018-2021). Co-advised by Ahmadreza Tabesh. |
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Ali Yousefian (MSc, 2017-2020). Co-advised by Farzaneh Shayegh. |
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Arezoo Haratiyan (MSc, 2017-2019) |