2020 applicants
People

Dr Vahid Abolghasemi

Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Vahid Abolghasemi

Profile

Biography

Vahid received the Ph.D. degree from University of Surrey, Guildford, UK in 2011. He was a postdoctoral research assistant at Brunel University during 2012 and worked on compressive sensing for terahertz imaging (an EPSRC funded project). He then worked as an assistant professor at Shahrood University of Technology, Iran from 2013. Vahid joined University of Essex as a lecturer in July 2019. He is an IEEE Senior Member and won IEEE young investigator award in 2018. He has been a lead guest editor of International Journal of Biomedical Imaging and a reviwer of various conferences and journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Neural Networks & Learning Systems, IEEE Transactions on Intelligent Transportation Systems, IET signal processing, and IET Image processing. His main research interests include sparse signal and image processing, biomedical signal processing, dictionary learning, compressed sensing, inverse problems, and blind source separation.

Qualifications

  • PhD University of Surrey, (2011)

Appointments

University of Essex

  • Lecturer, Computer Science and Electronic Engineering, University of Essex (1/7/2019 - present)

Other academic

  • Assistant Professor, Shahrood University of Technology (1/1/2013 - 30/6/2019)

  • Post-doctoral Research Assistant, Brunel University London (1/12/2011 - 31/12/2012)

Research and professional activities

Research interests

Signal processing

Open to supervise

Image processing

Open to supervise

Compressive sensing

Open to supervise

Inverse problems and sparse recovery

Open to supervise

Dictionary learning

image classification, signal classification, denoising, artifact removal

Open to supervise

Blind source separation for biomedical signals and images

Open to supervise

Machine learning and pattern recognition

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Engineering Electromagnetics (CE266)

Publications

Journal articles (28)

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

Javaran, TA., Hassanpour, H. and Abolghasemi, V., (2019). Blind motion image deblurring using an effective blur kernel prior. Multimedia Tools and Applications. 78 (16), 22555-22574

Mortezaee, M., Mortezaie, Z. and Abolghasemi, V., (2019). An Improved SSA-Based Technique for EMG Removal from ECG. IRBM. 40 (1), 62-68

Amiri, M., Ahmadyfard, A. and Abolghasemi, V., (2019). A fast video super resolution for facial image. Signal Processing: Image Communication. 70, 259-270

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). Multi layer spectral decomposition technique for ERD estimation in EEG μ rhythms: An EEG–fMRI study. Neurocomputing. 275, 1836-1845

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

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

Mohammadi, M., Pouyan, AA., Khan, NA. and Abolghasemi, V., (2018). An improved design of adaptive directional time–frequency distributions based on the Radon transform. Signal Processing. 150, 85-89

Mohammadi, M., Pouyan, AA., Khan, NA. and Abolghasemi, V., (2018). Locally Optimized Adaptive Directional Time–Frequency Distributions. Circuits, Systems, and Signal Processing. 37 (8), 3154-3174

Askari Javaran, T., Hassanpour, H. and Abolghasemi, V., (2017). Automatic estimation and segmentation of partial blur in natural images. The Visual Computer. 33 (2), 151-161

Askari Javaran, T., Hassanpour, H. and Abolghasemi, V., (2017). Local motion deblurring using an effective image prior based on both the first- and second-order gradients. Machine Vision and Applications. 28 (3-4), 431-444

Alyannezhadi, MM., Pouyan, AA. and Abolghasemi, V., (2017). An efficient algorithm for multisensory data fusion under uncertainty condition. Journal of Electrical Systems and Information Technology. 4 (1), 269-278

Dong, Y., Lin, H., Abolghasemi, V., Gan, L., Zeitler, JA. and Shen, Y-C., (2017). Investigating Intra-Tablet Coating Uniformity With Spectral-Domain Optical Coherence Tomography. Journal of Pharmaceutical Sciences. 106 (2), 546-553

Javaran, TA., Hassanpour, H. and Abolghasemi, V., (2017). Non-blind image deconvolution using a regularization based on re-blurring process. Computer Vision and Image Understanding. 154, 16-34

Nazari Siahsar, MA., Gholtashi, S., Abolghasemi, V. and Chen, Y., (2017). Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning. Signal Processing. 141, 309-321

Askari Javaran, T., Hassanpour, H. and Abolghasemi, V., (2016). A noise-immune no-reference metric for estimating blurriness value of an image. Signal Processing: Image Communication. 47, 218-228

Ameri, R., Pouyan, A. and Abolghasemi, V., (2016). Projective dictionary pair learning for EEG signal classification in brain computer interface applications. Neurocomputing. 218, 382-389

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., 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

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

Abolghasemi, V., Shen, H., Shen, Y. and Gan, L., (2015). Subsampled terahertz data reconstruction based on spatio-temporal dictionary learning. Digital Signal Processing. 43, 1-7

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

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

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

Sanei, S., Lee, TKM. and Abolghasemi, V., (2012). A New Adaptive Line Enhancer Based on Singular Spectrum Analysis. IEEE Transactions on Biomedical Engineering. 59 (2), 428-434

Abolghasemi, V. and Ahmadyfard, A., (2009). An edge-based color-aided method for license plate detection. Image and Vision Computing. 27 (8), 1134-1142

Conferences (33)

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

Khabbaz, AH., Pouyan, AA., Fateh, M. and Abolghasemi, V., (2017). An adaptive RL based fuzzy game for autistic children

Mohammadi, M., Pouyan, AA., Abolghasemi, V. and Khan, NA., (2017). Radon transform for adaptive directional time-frequency distributions: Application to seizure detection in EEG signals

Mohammadi, M., Pouyan, AA., Abolghasemi, V. and Khan, NA., (2017). Enhancement of the spikes attributes in the time-frequency representations of real EEG signals

AlyanNezhadi, MM., Hashemi, SMR. and Abolghasemi, V., (2017). License plate detection in complex scenes based on fusion of Gaussian filtering and Bayesian network

AlyanNezhadi, MM., Hashemi, SMR., Abolghasemi, V. and IEEE, (2017). License Plate Detection in Complex Scenes based on Fusion of Gaussian Filtering and Bayesian Network

Mohammadi, M., Pouyan, AA., Abolghasemi, V., Khan, NA. and IEEE, (2017). Enhancement of the spikes attributes in the time-frequency representations of real EEG signals

Amiri, M., Ahmadifard, A. and Abolghasemi, V., (2016). A probabilistic framework for dense image registration using relaxation labelling

Amiri, M., Ahmadifard, A. and Abolghasemi, V., (2016). A fast approach for single image super resolution via dictionary learning

Ameri, R., Pouyan, A. and Abolghasemi, V., (2015). EEG signal classification based on sparse representation in brain computer interface applications

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., 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

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., (2011). A comparative study of α-divergence based NMF techniques for fMRI analysis

Makkiabadi, B., Jarchi, D., Abolghasemi, V. and Sanei, S., (2011). A geometrically constrained multimodal time domain approach for convolutive blind source separation

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

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

Abolghasemi, V., Jarchi, D. and Sanei, S., (2010). A robust approach for optimization of the measurement matrix in Compressed Sensing

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

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

Jarchi, D., Abolghasemi, V. and Sanei, S., (2009). Source localization of brain rhythms by empirical mode decomposition and spatial notch filtering

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

Abadi, BM., Sarrafzadeh, A., Jarchi, D., Abolghasemi, V. and Sanei, S., (2009). Semi-blind signal separation and channel estimation in MIMO communication systems by tensor factorization

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

Zoghi, M. and Abolghasemi, V., (2009). Persian signature verification using improved Dynamic Time Warping-based segmentation and Multivariate Autoregressive modeling

Ghaderi, F., Sanei, S., Makkiabadi, B., Abolghasemi, V. and McWhirter, JG., (2009). Heart and lung sound separation using periodic source extraction method

Sanei, S., Phan, AH., Lo, J-L., Abolghasemi, V. and Cichocki, A., (2009). A compressive sensing approach for progressive transmission of images

Ahmadyfard, A. and Abolghasemi, V., (2008). Detecting license plate using texture and color information

Abolghasemi, V. and Marvi, H., (2007). Modified CELP coder using root cepstrum

Abolghasemi, V. and Marvi, H., (2007). Application of cepstrum analysis in speech coding

Abolghasemi, V. and Ahmadyfard, A., (2007). Improved Image Enhancement Method for License Plate Detection

Reports and Papers (1)

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

Contact

v.abolghasemi@essex.ac.uk
+44 (0) 1206 873899

Location:

4B.523, Colchester Campus

More about me