Asst. Prof. at the Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.
Postdoc research fellow
Institute for Cognitive and Brain Sciences
Shahid Beheshti University, Tehran, Iran
Focus: Modeling of neurodevelopmental process and its deficits (Feb 2014, Feb 2015)
Postdoc research fellow
A*STAR - Neuroscience Research Partnership (NRP), Duke-NUS Graduate Medical School, Singapore
Focus: Multimodal neuroimaging (Feb 2012, Nov 2013)
Major field of study: Computer science (Computational intelligence)
Nanyang Technological University, Singapore
Thesis: “Modeling of emotion based on EEG signal”
Major field of study: Biomedical Engineering (Bio-electronics)
Sahand University of Technology, Iran
Thesis: “Designing an ECG device with PC interface ability”
HONORS & AWARDS
Research grant support from Iranian Cognitive Science and Technology Council, Feb 2014-Feb 2015
OHBM 2013 Postdoc Trainee Abstract Travel Award
Duke-NUS Fellowship Grant, Feb 2012-Nov 2013
IEEE CIS IJCNN 2011 Student Travel Grant
IEEE CIS IJCNN 2009 Student Travel Grant
NTU PhD Scholarship, Aug 2007-Aug 2011
Reza Khosrowabadi, Saleh Zamani Nejad,” Biomedical Engineering: Essential, application and repairing of medical devices”,
Tehran: Modarresan Sharif, 2006.' in persian'
A. Wahab, et al., "EEG signals for emotion recognition," Journal of Computational Methods in Sciences and Engineering, vol.10, 2010, pp. 1-11.
R. Khosrowabadi, et al., "ERNN: A new feed-forward neural network for emotion recognition from EEG signal," IEEE Transaction on neural networks and learning systems, vol.25(3) , 2014, pp.609-620.
R. Khosrowabadi, et al., " Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions," Journal of Applied Soft Computing, vol.32, pp.335-346.
R. Khosrowabadi, et al., "Classifying EEG correlates of emotion based on connectivity between brain regions," The Scientific World Journal (accepted).
A. Darzi, R. Khosrowabadi, et al., "Identification of long-term mental stress using EEG signal in various mental states,"Under review in Journal of Applied Soft Computing.
Z. Hong and R. Khosrowabadi, et al., " Differential topological changes of anatomical and functional brain connectivity in subjects with mild and moderate cognitive impairment, " to be submitted to proceedings of the national academy of sciences. (Joint first authors)
R. Khosrowabadi, et al., " Stress and Emotion Perception: Chronic Stress rewires the brain," to be submitted to IEEE Transaction on information technology in biomedicine.
R. Khosrowabadi, et al., " Changes in somotomotor functional connectivity correlate with motor recovery after rehabilitation in stroke patients" to be submitted to human brain mapping.
R. Khosrowabadi, et al.,”fMRI and EEG fluctuations supporting increasing spatial working memory load” in preparation.
R. Khosrowabadi, et al.,”Alteration of neural oscillations underlying normal development in infancy period” in preparation.
R. Khosrowabadi, et al.,”Identification of autism based on task-free fMRI using graph theoretical approach” in preparation.
R. Khosrowabadi, et al., "A Brain-Computer Interface for classifying EEG correlates of chronic mental stress," The 2011
International Joint Conference on Neural Networks (IJCNN),San Jose, CA, USA,2011, pp. 757-762.
R. Khosrowabadi, et al., "EEG-based Emotion Recognition Using Self-Organizing Map for Boundary Detection," The 20th International Conference o Pattern Recognition (ICPR), Istanbul, Turkey, 2010, pp. 4242-4245.
H. M. Hondori, et al., "Muscles’ Coactivation in a Stationary Limb Alters According to the Movement of Other Limb," The 3rd International Conference of Biomedical Electronics and Devices (BIODEVICES), Valencia, Spain, 2010.
R. Khosrowabadi, et al., "The dynamic emotion recognition system based on functional connectivity of brain regions," The 2010 IEEE Intelligent Vehicles Symposium (IV), San Diego, CA, USA, 2010, pp. 377-381.
R. Khosrowabadi and A. W. b. A. Rahman, "Classification of EEG correlates on emotion using features from Gaussian Mixtures of EEG Spectrogram," International Conference on Information and Communication Technology for the Muslim World (ICT4M), Jakarta, Indonesia, 2010, pp. E102 - E107.
Marini Othman, Abdul Wahab, Reza Khosrowabadi: “EEG Based Emotion Recognition using MFCC and MLP,” Computers and Their Applications (CATA), Hawaii, USA, 2010, pp. 252-257.
R. Khosrowabadi, et al., "Affective computation on EEG correlates of emotion from musical and vocal stimuli," The 2009 International Joint Conference on Neural Networks ( IJCNN), Atlanta, GA, USA, 2009, pp. 1590-1594.
R. Khosrowabadi, et al., "Brain Surface Emotional Labeling According to the Variation of EEG Signal Distribution," The 4th Biennial Workshop on DSP for In-Vehicles Systems and Safety, Dallas, TX, USA, 2009.
M. Othman, et al., "MFCC for robust emotion detection using EEG," The 2009 ninth IEEE Malaysia International Conference on Communications (MICC), Kuala Lumpur Malaysia, 2009, pp. 98-101.
R. Khosrowabadi and A. Wahab, "Emotional State Discrimination by One EEG Channel," The ISCA 21st International
Conference on Computer Applications in Industry and Engineering (CAINE), Hawaii, USA, 2008, pp. 56-60.
R. Khosrowabadi and A. Wahab, "Recognition from EEG Signal by Using of MFCC as a New EEG Feature Vector," The IEEE International Workshop on Digital Infotainment and Visualization (IWDTV), Terengganu, Malaysia, 2008.
F. Mohammadi, R. Khosrowabadi, " Pattern discovery of ADHD using graph theory on task-free fMRI data", presented in the 6th international conference of cognitive science, Tehran, Iran, 2015.
Z. Hong*, R. Khosrowabadi*, et al. "Anatomical and functional brain connectome changes in subjects with cognitive impairment no dementia", The 20th annual meeting of organisation for human brain mapping (OHBM), Hamburg, Germany, 2014.
R. Khosrowabadi, et al.,”fMRI and EEG fluctuations supporting increasing spatial working memory load” presented in 19th annual meeting of organization for human brain mapping (OHBM), Seattle, USA, 2013.
R. Khosrowabadi, et al.,”Functional connectivity enhancement in somatomotor network correlates with motor recovery after rehabilitation” presented in 19th annual meeting of organization for human brain mapping (OHBM), Seattle, USA, 2013.
R. Khosrowabadi, et al.,” Intrinsic functional connectivity disruptions in somatomotor, salience, and default-mode networks after stroke ”, The 42th annual meeting of society for neuroscience (SFN), New Orleans, LA, USA, 2012.