Hami Mahdavinataj
Ph.D. in Neuroimaging
Tehran University of Medical Sciences
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About
I received my Ph.D. in Neuroimaging from the Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS) in 2026. My doctoral research was conducted with Dr. Seyed Amir Hossein Batouli and Dr. Hedieh Sajedi. 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, Maede Bahri, Hami Mahdavinataj, Seyed Amir Hossein Batouli, “Brain gray matter volumes and age-related changes in visual episodic memory: Insights from the Benson Complex Figure Test,” Behavioural Brain Research, 501, 116022 (2026; published online 2025). doi:10.1016/j.bbr.2025.116022.
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Maede Bahri, Hassan Farrahi, Hami Mahdavinataj, Seyed Amir Hossein Batouli, “The thalamus network seems responsible for the depression and anxiety affecting risk-taking,” Psychiatry Research: Neuroimaging, 351, 112003 (2025). doi:10.1016/j.pscychresns.2025.112003.
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Maede Bahri, Hassan Farrahi, Maryam Bahri, Hami Mahdavinataj, Seyed Amir Hossein Batouli, “Effects of depression and anxiety symptoms on cognitive inhibition: A cross-sectional study of structural and functional MRI evidence,” Medicine, 104(15), e42000 (2025). doi:10.1097/MD.0000000000042000.
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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, Ali Aghagolzadeh, Hami Mahdavinataj, “Fast Multi Focus Image Fusion Using Determinant,” in 2022 International Conference on Machine Vision and Image Processing (MVIP 2022), pp. 1-6, February 2022. doi:10.1109/MVIP53647.2022.9738555.
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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, “Mixed Gaussian-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]
