Sobhan Sheykhivand

Sobhan Sheykhivand

University of Tabriz

H-index: 13

Asia-Iran

About Sobhan Sheykhivand

Sobhan Sheykhivand, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Tabriz, specializes in the field of BCI, Deep Learning, Biomedical Signal Processing, Neural Network, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

EEG-based functional connectivity analysis of brain abnormalities: A systematic review study

A novel approach for automatic detection of driver fatigue using EEG signals based on graph convolutional networks

Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks

Recognition COVID-19 cases using deep type-2 fuzzy neural networks based on chest X-ray image

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network

Deep learning for detecting multi-level driver fatigue using physiological signals: A comprehensive approach

Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals

Automatic detection of driver fatigue based on EEG signals using a developed deep neural network

Sobhan Sheykhivand Information

University

Position

PhD Candidate of Biomedical Engineering Iran

Citations(all)

496

Citations(since 2020)

492

Cited By

53

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

University of Tabriz

Google Scholar

View Google Scholar Profile

Sobhan Sheykhivand Skills & Research Interests

BCI

Deep Learning

Biomedical Signal Processing

Neural Network

Artificial Intelligence

Top articles of Sobhan Sheykhivand

Title

Journal

Author(s)

Publication Date

EEG-based functional connectivity analysis of brain abnormalities: A systematic review study

Nastaran Khaleghi

Shaghayegh Hashemi

Mohammad Peivandi

S Zafarmandi Ardabili

Mohammadreza Behjati

...

2024/3/21

A novel approach for automatic detection of driver fatigue using EEG signals based on graph convolutional networks

Sensors

Sevda Zafarmandi Ardabili

Soufia Bahmani

Lida Zare Lahijan

Nastaran Khaleghi

Sobhan Sheykhivand

...

2024/1/7

Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks

Electronics

Farzad Baradaran

Ali Farzan

Sebelan Danishvar

Sobhan Sheykhivand

2023/5/12

Recognition COVID-19 cases using deep type-2 fuzzy neural networks based on chest X-ray image

Computational Intelligence in Electrical Engineering

Kamel Sabahi

Sobhan Sheykhivand

Zohreh Mousavi

Mehdi Rajabioun

2023/4/21

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network

Sensors

Nastaran Khaleghi

Shaghayegh Hashemi

Sevda Zafarmandi Ardabili

Sobhan Sheykhivand

Sebelan Danishvar

2023/11/23

Deep learning for detecting multi-level driver fatigue using physiological signals: A comprehensive approach

Sensors

Mohammad Peivandi

Sevda Zafarmandi Ardabili

Sobhan Sheykhivand

Sebelan Danishvar

2023/9/29

Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals

Electronics

Farzad Baradaran

Ali Farzan

Sebelan Danishvar

Sobhan Sheykhivand

2023/5/14

Automatic detection of driver fatigue based on EEG signals using a developed deep neural network

Electronics

Sobhan Sheykhivand

Tohid Yousefi Rezaii

Zohreh Mousavi

Saeed Meshgini

Somaye Makouei

...

2022/7/11

Recognition of Emotion Provoked by Auditory Stimuli using EEG Signal Based on Deep Neural Networks.

Computational Intelligence in Electrical Engineering

Sobhan Sheykhivand

Zohreh Mousavi

Tohid Yousefi Rezaii

Sholeh Alaei

2022/4/1

Developing a Deep Neural Network for Driver Fatigue Detection Using EEG Signals Based on Compressed Sensing

Sustainability

Sobhan Sheykhivand

Tohid Yousefi Rezaii

Saeed Meshgini

Somaye Makoui

Ali Farzamnia

2022/3/3

An Experimental Study: ICA-Based Sensorimotor Rhythms Detection in ALS Patients for BCI Applications

Vahid Gerami Oskouei

Ali Naderi Saatlo

Sobhan Sheykhivand

Ali Farzamnia

2022/12/27

COVID-19 detection using chest X-ray images based on a developed deep neural network

SLAS technology

Zohreh Mousavi

Nahal Shahini

Sobhan Sheykhivand

Sina Mojtahedi

Afrooz Arshadi

2022/2/1

Visual saliency and image reconstruction from EEG signals via an effective geometric deep network-based generative adversarial network

Electronics

Nastaran Khaleghi

Tohid Yousefi Rezaii

Soosan Beheshti

Saeed Meshgini

Sobhan Sheykhivand

...

2022/11/7

Automatically identified EEG signals of movement intention based on CNN network (End-To-End)

Electronics

Nahal Shahini

Zeinab Bahrami

Sobhan Sheykhivand

Saba Marandi

Morad Danishvar

...

2022/10/13

Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images

Alexandria Engineering Journal

Sobhan Sheykhivand

Zohreh Mousavi

Sina Mojtahedi

Tohid Yousefi Rezaii

Ali Farzamnia

...

2021/6/1

Automatic Detection of Driver Fatigue from EEG Signals using Deep Neural Networks

Iranian Journal of Biomedical Engineering

Sobhan Sheykhivand

Zohreh Mousavi

Tohid Yousefi Rezaii

2020/9/22

Automatic detection of various epileptic seizures from eeg signal using deeplearningnetworks

Computational Intelligence in Electrical Engineering

Sobhan Sheykhivand

Saeed Meshgini

Zohreh Mousavi

2020/9/22

Recognizing emotions evoked by music using CNN-LSTM networks on EEG signals

IEEE access

Sobhan Sheykhivand

Zohreh Mousavi

Tohid Yousefi Rezaii

Ali Farzamnia

2020/7/27

Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification

IEEE Access

Sobhan Sheykhivand

Tohid Yousefi Rezaii

Zohreh Mousavi

Azra Delpak

Ali Farzamnia

2020/7/27

Removing mixture of Gaussian and Impulse noise of images using sparse coding

Mahsa Malekzadeh

Saeed Meshgini

Reza Afrouzian

Ali Farzamnia

Sobhan Sheykhivand

2020/2/18

See List of Professors in Sobhan Sheykhivand University(University of Tabriz)

Co-Authors

H-index: 18
Sehraneh Ghaemi

Sehraneh Ghaemi

University of Tabriz

H-index: 17
Sebelan Danishvar

Sebelan Danishvar

Brunel University London

H-index: 16
Ali Farzamnia

Ali Farzamnia

Universiti Malaysia Sabah

H-index: 15
Tohid Yousefi Rezaii

Tohid Yousefi Rezaii

University of Tabriz

H-index: 13
Saeed Meshgini

Saeed Meshgini

University of Tabriz

H-index: 12
Seyed Naser Razavi

Seyed Naser Razavi

University of Tabriz

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