Dr. Zahra Tabanfar

Dr. Zahra recently obtained her Ph.D. from Amirkabir University of Technology (Tehran Polytechnic) in 2022, with a dissertation titled “Dynamic Brain Connectivity Modeling Using Electroencephalogram Signal in Component Domain”. She has been serving as a Research Assistant at Tehran Polytechnic since 2017 responsible for guiding graduate and undergraduate students in their thesis progress.

She was also teaching assistant in “Statistical Analysis of Biomedical Data” and “Blind Source Separation and Its Applications in Medicine” at Tehran Polytechnic. As a TA, she assisted in designing theoretical and computer homework, and also guide students through the completion of course projects.

Her research interests include Data Analytics, Statistics, Pattern Recognition and Artificial Intelligence (AI). She is an early career researcher with a strong desire to conduct new research in different fields.

• Data Analytics
• Statistics
• Pattern Recognition
• Artificial Intelligence

• Data Analytics
• Statistics
• Pattern Recognition
• Artificial Intelligence

• Zahra Tabanfar, Farnaz Ghassemi, Mohammad Hassan Moradi. (2023). A subject-independent SSVEP-based BCI target detection system based on fuzzy ordering of EEG task-related components. Biomedical Signal Processing and Control, 79, 104171.
• Sheida Ansarinasab, Farnaz Ghassemi, Zahra Tabanfar, Sajad Jafari. (2023). Investigation of phase synchronization in functional brain networks of children with ADHD using nonlinear recurrence measure. Journal of Theoretical Biology, 560, 111381.
• Ali Nouri, & Zahra Tabanfar. (2023). Detection of ADHD Disorder in Children using Layer-wise Relevance Propagation and Convolutional Neural Network: an EEG Analysis. Frontiers in Biomedical Technologies.
• Elham Rostami, Farnaz Ghassemi, Zahra Tabanfar. (2023). Transfer Learning assisted PodNet for Stimulation Frequency Detection in Steady state visually evoked potential-based BCI Spellers. Brain-Computer Interfaces, 10(1), 38-49.
• Zahra Tabanfar, S Mohammad Firoozabadi, Zeinab Shankayi, Guive Sharifi. (2022). Screening of Brain Tumors Using Functional Connectivity Patterns of Steady-State Visually Evoked Potentials. Brain Connectivity, 12(10), 883-891.
• Elham Rostami, Farnaz Ghassemi, Zahra Tabanfar. (2022). Improving the Classification of Real-World SSVEP Data in Brain-Computer Interface Speller Systems Using Deep Convolutional Neural Networks. Frontiers in Biomedical Technologies.
• Alireza Ettefagh, Farnaz Ghassemi, Zahra Tabanfar. (2022). Time-Frequency Analysis of Electroencephalogram Signals in a Perceptual Decision-Making Task of Random Dot Kinematograms. Frontiers in Biomedical Technologies, 9(3), 170-175.
• Elham Rostami, Farnaz Ghassemi, Zahra Tabanfar. (2022). Canonical correlation analysis of task related components as a noise-resistant method in Brain-computer interface speller systems based on Steady-State visual evoked potential. Biomedical Signal Processing and Control, 73, 103449.
• Zahra Tabanfar, Farnaz Ghassemi, Alireza Bahramian, Ali Nouri, Ensieh Ghaffari Shad, Sajad Jafari. (2022). Fractional-order systems in biological applications: Estimating causal relations in a system with inner connectivity using fractional moments. In Fractional-Order Design (pp. 275-299). Academic Press.
• Zahra Tabanfar, Farnaz Ghassemi, Mohammad Hassan Moradi. (2022). Estimating brain periodic sources activities in steady-state visual evoked potential using local fourier independent component analysis. Biomedical Signal Processing and Control, 71, 103162.
• Zahra Tabanfar, Farnaz Ghassemi. (2019). Task-related component analysis of electroencephalogram signals during emotional face recognition: A case study of ERP. IBRO Reports, 6, S63.
• Zahra Tabanfar, S Mohammad Firoozabadi, Zeynab Khodakarami, Zeinab Shankayi. (2018). Analysis of Electroencephalogram Data during Rest in Patients with Brain Tumor. Modares Journal of Biotechnology, 9(4), 653-658.
• Amin Behzadnia, Farnaz Ghassemi, Soghra Akbari Chermahini, Zahra Tabanfar, Athena Taymourtash. (2018). The neural correlation of sustained attention in performing conjunctive continuous performance task: an event-related potential study. Neuroreport, 29(11), 954-961.
• Zahra Tabanfar, Farzaneh Yousefipoor, S Mohammad Firoozabadi Zeynab Khodakarami, Zeinab Shankayi. (2016, November). Recognition of two emotional states of joy and sadness using phase lag index and SVM classifier. In 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME) (pp. 327-330). IEEE.
• Zahra Tabanfar, S Mohammad Firoozabadi, Zeinab Shankayi, Guive Sharifi, Kambiz Novin, Anahita Zoghi. (2016). Brain Tumor Detection Using Electroencephalogram Linear and Non-Linear Features. Iranian Journal of Biomedical Engineering, 10(3), 211-221.

• Young Investigator Training Program (YITP) awardee from International Brain Research Organization (IBRO) and attend YIT program at Sungkyunkwan University (SKKU), Suwon, South Korea (2019).
• Ranked first among all students (14s) in bioelectric group during M.Sc.