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Sobhan Sheykhivand

Sobhan Sheykhivand

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex: 16/00
Faculty: Faculty of Engineering
Address: East Azerbaijan-Bonab-Bonab University-Faculty of Interdisciplinary Sciences and Technologies-Fourth Floor
Phone: -

Education

  • PhD. in Biomedical Engineering (Bioelectrics) , University of Tabriz , Iran (2018 - 2022)
    Thesis title: Automatic driver fatigue detection based on physiological signals.
  • MSc. in Biomedical Engineering (Bioelectrics) , University of Tabriz , Iran (2016 - 2018)
    Thesis title: Automatic sleep stage classification from EEG signals based on EMD
  • BSc. in Electrical Engineering , Azad Islamic University, Urmia Branch , Iran (2014 - 2016)
    Thesis title: A new design full adder based-CNTFET with low power consumption and high-speed
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Courses

Research activities

Journal Papers
EEG-based functional connectivity analysis of brain abnormalities: A systematic review study Nastaran Khaleghi, Shaghayegh Hashemi, Mohammad Peivandi, Sevda Sevda Zafarmandi Ardabili, Mohammadreza Behjati, Sebelan Danishvar, Sobhan Sheykhivand (2025)
Theoretical and Experimental Study of an Electrokinetic Micromanipulator for Biological Applications Reza Hajiaghaie Vafaie, Ali Fardi Ilkhchy, Sobhan Sheykhivand, Sabalan Daneshvar (2025)
An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP Behzad Yousefipour, Vahid Rajabpour, Hamidreza Abdoljabbari, Sobhan Sheykhivand, Sebelan Danishvar (2024)
Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks Fatemeh Mohajelin, Sobhan Sheykhivand, Abbas Shabani, Morad Danishvar, Sebelan Danishvar, Lida Zare Lahijan (2024)
Automatic Detection of Acute Leukemia (ALL and AML) Utilizing Customized Deep Graph Convolutional Neural Networks Lida Zare Lahijan, Mahsan Rahmani, Nastaran Khaleghi, Sobhan Sheykhivand, Sebelan Danishvar (2024)
An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks Mahsan Rahmani, Fatemeh Mohajelin, Nastaran Khaleghi, Sobhan Sheykhivand, Sebelan Danishvar (2024)
A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks Sevda Sevda Zafarmandi Ardabili, Soufia Bahmani, Lida Zare Lahijan, Nastaran Khaleghi, Sobhan Sheykhivand, Sebelan Danishvar (2024)
Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network Nastaran Khaleghi, Shaghayegh Hashemi, Sevda Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, Sabalan Daneshvar (2023)
Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach Mohammad Peivandi, Sevda Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, Sabalan Daneshvar (2023)
Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals Farzad Baradaran, Ali Farzan, Sabalan Daneshvar, Sobhan Sheykhivand (2023)
Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks Farzad Baradaran, Ali Farzan, Sabalan Daneshvar, Sobhan Sheykhivand (2023)

Research interests

  • Pattern Recognition
  • Deep Learning
  • Neural Networks
  • Biomedical Signal Processing
  • BCI
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Executive activities

  • Head of examinations for the second half of the academic year 1403-1404 (1404 - present)
  • Graduate Education Representative, Electrical Engineering Department (1404 - present)
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