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Fardad Farokhi

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Fardad Farokhi

Faculty · Biomedical · Perception

  • EEG signal analysis
  • Deep convolutional neural networks applied to biomedical signals
  • Biomedical signal processing of physiological time series
  • Epileptic seizure prediction from heart-rate variability
  • Medical image analysis
  • Speech emotion recognition using deep learning

Fardad Farokhi is an assistant professor of biomedical engineering at Islamic Azad University, Central Tehran Branch. Farokhi holds a BSc in electrical engineering (electronics) from K. N. Toosi University of Technology, an MSc in the same field from Islamic Azad University, South Tehran Branch, and a PhD in biomedical engineering from Islamic Azad University, Science and Research Branch. Farokhi chaired the branch’s electronic engineering department (2009–2014) and biomedical engineering department (2014–2016). Research by Farokhi applies machine learning to EEG and ECG-derived signals, speech emotion recognition and medical image analysis.

Interested in hearing about: Collaborations on EEG and ECG-derived signal classification, speech emotion recognition and medical image segmentation.

Selected publications

All publications
2026

A Novel Non-Real-Time Algorithm for Epileptic Seizure Prediction Using Features Extracted from Multiple Time Series Derived from the Two-Dimensional Poincaré Plot of RR Intervals

Pardis Goodarzi, Keivan Maghooli, Nader Jafarnia Dabanloo, Fardad Farokhi · Iranian Journal of Science and Technology, Transactions of Electrical Engineering · Department of Biomedical Engineering, CT.C., Islamic Azad University, Tehran, Iran · DOI:10.1007/s40998-026-01023-4

DOI ↗ BibTeX

journal Prior affiliation
2025

A Fuzzy Cognitive Map-based Framework for Alzheimer's Disease Diagnosis Using Multimodal Magnetic Resonance Imaging-Positron Emission Tomography Registration

Seyed Assef Mahdavi, Keivan Maghooli, Fardad Farokhi · Journal of Medical Signals & Sensors, vol. 15, art. 31 · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.4103/jmss.jmss_3_25

DOI ↗ BibTeX

journal Prior affiliation
2025

An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals

Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia · Brain Research Bulletin, vol. 230, art. 111468 · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.brainresbull.2025.111468

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journal Prior affiliation
2025

Segmentation of coronary arteries from X-ray angiographic images using density based spatial clustering of applications with noise (DBSCAN)

Kamran Mardani, Keivan Maghooli, Fardad Farokhi · Biomedical Signal Processing and Control · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.bspc.2024.107175

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journal Prior affiliation
2023

A 3D Tensor Representation of Speech and 3D Convolutional Neural Network for Emotion Recognition

Mohammad Reza Falahzadeh, Fardad Farokhi, Ali Harimi, Reza Sabbaghi-Nadooshan · Circuits, Systems, and Signal Processing · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1007/s00034-023-02315-4

DOI ↗ BibTeX

journal Prior affiliation
2023

Deep convolutional architecture-based hybrid learning for sleep arousal events detection through single-lead EEG signals

Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad, Alireza Kashaninia · Brain and Behavior, vol. 13, no. 6, art. e3028 · Department of Electrical Engineering, Central Tehran Branch Islamic Azad University, Tehran, Iran · DOI:10.1002/brb3.3028

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journal Prior affiliation
2022

Deep Convolutional Neural Network and Gray Wolf Optimization Algorithm for Speech Emotion Recognition

Mohammad Reza Falahzadeh, Fardad Farokhi, Ali Harimi, Reza Sabbaghi-Nadooshan · Circuits, Systems, and Signal Processing · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1007/s00034-022-02130-3

DOI ↗ BibTeX

journal Prior affiliation
2020

A new emotion detection algorithm using extracted features of the different time-series generated from ST intervals Poincaré map

Maryam Baghizadeh, Keivan Maghooli, Fardad Farokhi, Nader Jafarnia Dabanloo · Biomedical Signal Processing and Control, art. 101902 · Department of Biomedical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran · DOI:10.1016/j.bspc.2020.101902

DOI ↗ BibTeX

journal Prior affiliation

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