Hami Mahdavinataj
PhD Candidate, Neuroimaging
Tehran University of Medical Sciences
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About
I'm a Ph.D. candidate in Neuroimaging at the Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS). My research focuses on multimodal brain imaging, machine learning, and computational neuroimaging, with a particular interest in developing predictive models of brain age using structural and functional neuroimaging data. My work aims to improve the understanding of brain aging and develop imaging biomarkers that support neuroscience research and precision medicine. I received my M.Sc. in Electrical Engineering from Babol Noshirvani University of Technology (aka NIT), working with Prof. Ali Aghagolzadeh and my B.Sc. degree in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) working with Prof. Hassan Aghaeinia.
Publications
Journal Papers
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Hami Mahdavinataj, Hedieh Sajedi, Seyed Amir Hossein Batouli, “A comparative evaluation of brain MRI modalities, modality-specific measures, brain regions, and cognitive tests for brain age prediction,” GeroScience (2026). doi:10.1007/s11357-026-02407-4.
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Maryam Bahri, Hassan Farrahi, Hami Mahdavinataj, Seyed Amir Hossein Batouli, “Eight brain structures mediate the age-related alterations of the working memory: forward and backward digit span tasks,” Frontiers in Psychology, 15:1377342. doi:10.3389/fpsyg.2024.1377342.
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Alireza Asvadi, Hami Mahdavinataj, Mohammadreza Karami and Yasser Baleghi, “ Online Visual Object Tracking Using Incremental Discriminative Color Learning,” The CSI Journal on Computer Science and Engineering, Vol.12, No. 2 & 4 (b), pp. 16-28, 2014. (as an extension of AISP 2013 paper)
Conference Papers
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Mostafa Amin-Naji, Hami Mahdavinataj, Ali Aghagolzadeh, “Alzheimer's disease diagnosis from structural MRI using Siamese convolutional neural network,” in 4th International conference on Pattern Recognition and Image Analysis (IPRIA 2019), Tehran, Iran, March 2019.
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Hami Mahdavinataj, Ali Aghagolzadeh, Seyyed Mehdi Hosseiniandargoli, “Reconstruction with Updating Correlation Noise Model in Distributed Video Coding,” in 3rd Iranian Conference on Communications Engineering (ICCE 2017), Tehran, Iran, February 2017.
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Nasser Eslahi, Hami Mahdavinataj, Ali Aghagolzadeh, “MixedGaussian-Impulse Noise Removal from Highly Corrupted Images via Adaptive Local andNonlocal Statistical Priors,” in 9th Iranian Conference on Machine Vision and Image Processing (MVIP 2015), Tehran, Iran, November 2015.
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Alireza Asvadi, Hami Mahdavinataj, Mohammadreza Karami and Yasser Baleghi, “Incremental Discriminative Color Object Tracking,” International Symposium on Artificial Intelligence and Signal Processing (AISP 2013), Tehran, Iran, December 2013. [MATLAB Code]
