Academic Background

2019           Habilitation in Neuroscience, University of  Picardy Jules Verne (UPJV), Amiens, France.

2007          Ph.D. in Neuroscience, University of  Picardy Jules Verne (UPJV), Amiens, France.

1999           M.Sc. in Biomedical Engineering (Bioelectrics), Iran University of Science and Technology (IUST), Iran.

1995           B.Sc. in Electrical Engineering (Electronics), Shiraz University, Iran.

Professional Experiences

2012-present   Associate Professor, Faculty of Medicine, University of  Picardy Jules Verne (UPJV), Amiens, France.

2011-2012        Postdoctoral Associate, NIRS Brain Imaging Lab, University of Pittsburgh, PA, USA.

2010-2011        Postdoctoral Associate, Biomedical Functional Imaging and Neuroengineering Lab, University of Minnesota, MN, USA.

2008-2009      Postdoctoral Associate, Biomedical Engineering Lab, University of Manitoba, MB, Canada.

2007-2008      Postdoctoral Associate, GRAMFC, University of  Picardy Jules Verne, Amiens, France.

Research Interests 

- Biomedical image and signal analysis

- Computational neuroscience

- Computational modelling of brain dynamics

- Functional and structural connectivity analysis of brain networks

- Brain imaging

Selected Publications

- Azizollahi, H., Aarabi, A., Wallois, F. Effects of uncertainty in head tissue conductivity and complexity on EEG forward modeling in neonates. J Neural Engineering, in press, 2020.
- Ahmadi, M., Kazemi, K., Kuc, K., Cybulska-Klosowicz, A., Zakrzewska, M., Racicka-Pawlukiewicz, E., Helfroush, M. S., Aarabi, A., Cortical source analysis of resting state EEG data in children with attention deficit hyperactivity disorder. Clin Neurophysiol. 131, 2115-2130, 2020.
- Ghimatgar, H., Kazemi, K., Helfroush, M. S., Pillay, K., Dereymaker, A., Jansen, K., Vos, M., Aarabi, A., Neonatal EEG sleep stage classification based on deep learning and HMM. J Neural Eng. 17, 036031, 2020.
- Ghimatgar, H., Kazemi, K., Helfroush, M. S., Aarabi, A. An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov model, Journal of Neuroscience Methods, 2019.
- Noorizadeh, N., Kazemi, K., Danyali, Aarabi, A., Multi-atlas based neonatal brain extraction using a two-level patch-based label fusion strategy, Biomedical Signal Processing and Control 54, 101602, 2019.
- Aarabi, A., Huppert, T.J., Assessment of the effect of data length on the reliability of resting-state fNIRS connectivity measures and graph metrics, Biomedical Signal Processing and Control 54, 101612, 2019.
- Aarabi, A., Osharina, V., Wallois, F., 2017, Effect of confounding variables on hemodynamic response function estimation using averaging and deconvolution analysis: an event-related NIRS study, NeuroImage 155, 25-49
- Osharina, V., Aarabi, A., Manoochehri, M., Mahmoudzadeh, M., Wallois, F., 2017, Hemodynamic Changes Associated with Interictal Spikes Induced by Acute Models of Focal Epilepsy in Rats: A Simultaneous Electrocorticography and Near-Infrared Spectroscopy Study, Brain topography 30 (3), 390-407.
- Azizollahi, H., Aarabi, A., Wallois, F., 2016. Effects of uncertainty in head tissue conductivity and complexity on EEG forward modeling in neonates. Hum Brain Mapp 37, 3604-3622.
- Aarabi, A., Huppert, T.J., 2016. Characterization of the relative contributions from systemic physiological noise to whole-brain resting-state functional near-infrared spectroscopy data using single-channel independent component analysis. Neurophotonics 3, 025004.
- Adebimpe, A., Aarabi, A., Bourel-Ponchel, E., Mahmoudzadeh, M., Wallois, F., 2015. EEG resting state analysis of cortical sources in patients with benign epilepsy with centrotemporal spikes. Neuroimage Clin 9, 275-282.
- Adebimpe, A., Aarabi, A., Bourel-Ponchel, E., Mahmoudzadeh, M., Wallois, F., 2015. Functional Brain Dysfunction in Patients with Benign Childhood Epilepsy as Revealed by Graph Theory. PLoS One 10, e0139228.
- Aarabi, A., He, B., 2013, Seizure Prediction in Hippocampal and Neocortical Epilepsy Using a Model-based Approach, Clin Neurophysiol, 388-2457(13).
- Aarabi, A., and He, B., 2012, A rule-based seizure prediction method for focal neocortical epilepsy, Clinical Neurophysiology, 123(6):1111-22.
- Aarabi, A, Fazel-Rezai, R., Aghakhani, Y. 2009, A fuzzy rule-based system for epileptic seizure detection in intracranial EEG. Clin Neurophysiol. 120(9):1648-57.
- Aarabi, A., Kazemi, K., Grebe, R., Moghaddam, H.A., Wallois, F, 2009, Detection of EEG transients in neonates and older children using a system based on dynamic time-warping template matching and spatial dipole clustering, Neuroimage,15; 48 (1):50-62.
- Aarabi, A., Grebe, R., and Wallois, F., 2007. A multistage knowledge-based system for EEG seizure detection in newborn infants, Clin Neurophysiol, 118 (2007) 2781-97.