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Students

Students

زهرا غلامعلیان Zahra Gholamalian (PhD, 2023-).
Maryam Mohammadbagheri (MSc, 2022-). Co-advised by Iman Izadi.
Project: Detection of faults in heavy-duty machinery using Bayesian networks
سید علی راد Seyyed Ali Rad (MSc, 2022-). Co-advised by Farzaneh Shayegh.
Project: Identify important structures in autism spectrum disorder using graph neural network
زهرا چراغیان 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.
علی ایرانی‌دوست                

Ali Iranidoust (PhD, 2021-). Co-advised by Farzaneh Shayegh.

Project: Developing an explainable AI model to extract effective mechanisms in autism spectrum disorder.

Alumni

حمیدرضا صادقی Hamidreza Sadeghi (MSc,2021-2024).
Project: Predicting the survival of cancer using genetic data
میلاد محمدرضایی 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.
فهیمه Fahimeh Alipour (MSc, 2019-2022). Co-advised by Pouria Ramazi.
Project: Analysis and prediction of collective decision making under two tolerance thresholds.
zahra   Zahra Gholamalian (MSc, 2019-2022). Co-advised by ‪Massoud Reza Hashemi.
Project: Predicting individual COVID-19 infections using coupled hidden Markov models.
نرجس روفیگر

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.

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