People

Dr Saideh Ferdowsi

Lecturer
School of Mathematics, Statistics and Actuarial Science (SMSAS)
Dr Saideh Ferdowsi
  • Email

  • Telephone

    +44 (0) 1206 874384

  • Location

    3A.532, Colchester Campus

  • Academic support hours

    Wednesday 3-5 pm on campus/zoom to be confirmed in advance via email.

Profile

Biography

Dr Saideh Ferdowsi is a lecturer (assistant professor) in data science at the School of Mathematics, Statistics and Actuarial Science, University of Essex. She received her PhD from the University of Surrey in biomedical signal and image processing in 2013. After completing PhD, she started working at University of Shahrood as an assistant professor and then in 2019, she joined brain computer interface lab at University of Essex as a senior research officer. Her primary research focuses on neural data analysis and she has developed different algorithms to analyse neural signals and images including EEG, fMRI, MRS and fNIRS. These techniques have been used for different purposes such as artifact removal, feature extraction, data fusion, estimating the model, and measuring brain connectivity. Dr Ferdowsi is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). She has been one of the guest editors of the International Journal of Biomedical Imaging and Sensors Journal. In addition, she is a reviewer of various conferences and journals such as Neuroimage, Scientific Reports, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Signal Processing, IEEE Transactions on Neural System and Rehabilitation Engineering, Signal Image and Video Processing, Biomedical Signal Processing and Control, IET signal processing, and IET Image processing. Prospective PhD applicants who have related research interests are encouraged to contact her by email.

Qualifications

  • PhD University of Surrey,

Appointments

University of Essex

  • Lecturer in Statistics and Data Science, Mathematical Science, University of Essex (1/4/2023 - present)

  • Senior Research Officer, Computer Science and Electrical Engineering, University of Essex (1/7/2019 - 31/3/2023)

Other academic

  • Lecturer in Biomedical Engineering, University of Shahrood (1/1/2013 - 30/6/2019)

Research and professional activities

Research interests

Computational neuroscience

Using machine learning methods to analyse neural data including EEG, fMRI, fNIRS, EOG, EMG, ECG, MRS,....

Open to supervise

Brain Connectivity

Investigating functional and effective brain connectivity using methods such as graph theory, dynamic causal model and granger causality.

Open to supervise

Deep Learning application in neuroscience

Open to supervise

Blind Source Seperation for biomedical data analysis

Open to supervise

Brain Computer Interface

Open to supervise

Physiological signal Processing

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Artificial intelligence and machine learning with applications (MA336)

Publications

Journal articles (17)

Abolghasemi, V., Marzebali, MH. and Ferdowsi, S., (2022). Recursive Singular Spectrum Analysis for Induction Machines Unbalanced Rotor Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 71, 1-11

Ameri, R., Alameer, A., Ferdowsi, S., Nazarpour, K. and Abolghasemi, V., (2022). Labeled projective dictionary pair learning: application to handwritten numbers recognition. Information Sciences. 609, 489-506

Marzebali, MH., Abolghasemi, V., Ferdowsi, S. and Bazghandi, R., (2022). Manipulation of stator current signature for rotor asymmetries fault diagnosis of wound rotor induction machine. IET Science, Measurement & Technology. 16 (9), 523-532

Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S. and Rezvani, M., (2020). Deep recurrent–convolutional neural network for classification of simultaneous EEG–fNIRS signals. IET Signal Processing. 14 (3), 142-153

Ferdowsi, S. and Abolghasemi, V., (2018). Multi layer spectral decomposition technique for ERD estimation in EEG μ rhythms: An EEG–fMRI study. Neurocomputing. 275, 1836-1845

Abolghasemi, V., Chen, M., Alameer, A., Ferdowsi, S., Chambers, J. and Nazarpour, K., (2018). Incoherent Dictionary Pair Learning: Application to a Novel Open-Source Database of Chinese Numbers. IEEE Signal Processing Letters. 25 (4), 472-476

Ferdowsi, S. and Abolghasemi, V., (2018). Simultaneous BOLD detection and incomplete fMRI data reconstruction. Medical & Biological Engineering & Computing. 56 (4), 599-610

Ferdowsi, S. and Abolghasemi, V., (2018). Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Transactions on Biomedical Engineering. 65 (8), 1717-1724

Ferdowsi, S., Sanei, S. and Abolghasemi, V., (2015). A Predictive Modeling Approach to Analyze Data in EEG–fMRI Experiments. International Journal of Neural Systems. 25 (01), 1440008-1440008

Abolghasemi, V., Ferdowsi, S. and Sanei, S., (2015). Fast and incoherent dictionary learning algorithms with application to fMRI. Signal, Image and Video Processing. 9 (1), 147-158

Abolghasemi, V. and Ferdowsi, S., (2015). EEG–fMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG. Biomedical Signal Processing and Control. 18, 186-194

Ferdowsi, S., Abolghasemi, V. and Sanei, S., (2015). A new informed tensor factorization approach to EEG–fMRI fusion. Journal of Neuroscience Methods. 254, 27-35

Sanei, S., Ferdowsi, S., Nazarpour, K. and Cichocki, A., (2013). Advances in Electroencephalography Signal Processing [Life Sciences]. IEEE Signal Processing Magazine. 30 (1), 170-176

Ferdowsi, S., Sanei, S., Abolghasemi, V., Nottage, J. and O'Daly, O., (2013). Removing Ballistocardiogram Artifact From EEG Using Short- and Long-Term Linear Predictor. IEEE Transactions on Biomedical Engineering. 60 (7), 1900-1911

Sanei, S., Ferdowsi, S., Nazarpour, K. and Cichocki, A., (2013). Advances in Electroencephalography Signal Processing [Life Sciences].. IEEE Signal Process. Mag.. 30, 170-176

Abolghasemi, V., Ferdowsi, S. and Sanei, S., (2012). A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing. Signal Processing. 92 (4), 999-1009

Abolghasemi, V., Ferdowsi, S. and Sanei, S., (2012). Blind Separation of Image Sources via Adaptive Dictionary Learning. IEEE Transactions on Image Processing. 21 (6), 2921-2930

Book chapters (1)

Cervera-Torres, S., Minissi, ME., Greco, A., Callara, A., Ferdowsi, S., Citi, L., Maddalon, L., Giglioli, IAC. and Alcañiz, M., (2023). Modulating Virtual Affective Elicitation by Human Body Odors: Advancing Research on Social Signal Processing in Virtual Reality. In: Augmented Cognition. Springer Nature Switzerland. 317- 327. 9783031350160

Conferences (20)

Ferdowsi, S., Ognibene, D., Foulsham, T., Greco, A., Callara, AL., Cervera-Torres, S., Alcañiz, M., Vanello, N. and Citi, L., (2023). Human body odour modulates neural processing of faces: effective connectivity analysis using EEG

Ghonchi, H., Ferdowsi, S. and Abolghasemi, V., (2022). Common Spatial Pattern with Deep Learning for Fetal Heart Rate Monitoring

Ameri, R., Alameer, A., Ferdowsi, S., Abolghasemi, V. and Nazarpour, K., (2021). Classification of Handwritten Chinese Numbers with Convolutional Neural Networks

Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S. and Rezvani, M., (2020). Spatio-temporal deep learning for EEG-fNIRS brain computer interface

Ferdowsi, S., Ognibene, D., Foulsham, T., Abolghasemi, V., Li, W. and Citi, L., (2020). Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas

Abolghasemi, V. and Ferdowsi, S., (2017). Singular value thresholding for multi-dimensional data: Application to fMRI and terahertz imaging

Abolghasemi, V., Ferdowsi, S., Hao Shen, Yaochun Shen and Lu Gan, (2014). Spatio-spectral data reconstruction in terahertz imaging

Ferdowsi, S., Abolghasemi, V. and Sanei, S., (2013). EEG-FMRI integration using a partially constrained tensor factorization

Ferdowsi, S., Sanei, S., Nottage, J., O'Daly, O. and Abolghasemi, V., (2012). A hybrid ICA-Hermite transform for removal of Ballistocardiogram from EEG

Ferdowsi, S., Abolghasemi, V. and Sanei, S., (2012). Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering

Abolghasemi, V., Ferdowsi, S., Makkiabadi, B. and Sanei, S., (2012). Adaptive fusion of dictionary learning and multichannel BSS

Abolghasemi, V., Ferdowsi, S. and Sanei, S., (2011). Sparse multichannel source separation using incoherent K-SVD method

Ferdowsi, S., Abolghasemi, V., Makkiabadi, B. and Sanei, S., (2011). A new spatially constrained NMF with application to fMRI

Ferdowsi, S., Abolghasemi, V. and Sanei, S., (2011). A comparative study of α-divergence based NMF techniques for fMRI analysis

Ferdowsi, S., Abolghasemi, V. and Sanei, S., (2010). A constrained NMF algorithm for bold detection in fMRI

Abolghasemi, V., Ferdowsi, S., Makkiabadi, B. and Sanei, S., (2010). On optimization of the measurement matrix for compressive sensing

Abolghasemi, V., Sanei, S., Ferdowsi, S., Ghaderi, F. and Belcher, A., (2009). Segmented compressive sensing

Ferdowsi, S., Abolghasemi, V., Ahmadyfard, A. and Sanei, S., (2009). An improved eye detection method based on statistical moments

Abolghasemi, V., Sanei, S., Ferdowsi, S., Ghaderi, F., Belcher, A. and IEEE, (2009). SEGMENTED COMPRESSIVE SENSING

Ferdowsi, S. and Ahmadyfard, A., (2008). Using statistical moments as invariants for eye detection

Reports and Papers (1)

Ameri, R., Alameer, A., Ferdowsi, S., Nazarpour, K. and Abolghasemi, V., (2020). Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning

Contact

s.ferdowsi@essex.ac.uk
+44 (0) 1206 874384

Location:

3A.532, Colchester Campus

Academic support hours:

Wednesday 3-5 pm on campus/zoom to be confirmed in advance via email.