Dr Vahid Abolghasemi
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Email
v.abolghasemi@essex.ac.uk -
Location
4B.523, Colchester Campus
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Academic support hours
Tuesdays 1-3pm on campus/zoom to be confirmed in advance via email
Profile
Biography
Dr Abolghasemi is currently a Lecturer (Assistant Professor) at the School of Computer Science and Electronic Engineering, University of Essex. He received the Ph.D. degree from University of Surrey, Guildford, UK in 2011. Upon completion of the PhD, he held a postdoctoral research assistant position at Brunel University and worked on an EPSRC funded project on application of compressive sensing for terahertz imaging. Then, he joined Shahrood University of Technology, Iran, as an Assistant Professor. His primary research focus is on compressive sensing, sparse representation, dictionary learning, image and signal processing, and computer vision. Most of his research findings and proposed solutions e.g. in medical applications, biometrics, and computer vision have been published in high quality journals and conferences. Currently, he is working toward expanding the usability of his theoretical knowledge and expertise in new industrial and practical real-life applications such as compressive sensing for smart and low-power sensing and communication technologies, artificial intelligence for healthcare and global environmental challenges, etc. Dr Abolghasemi is a Senior Member of IEEE and has won IEEE young investigator award in 2018. He has been a guest editor of several scientific journals such as 'Sensors', 'Journal of Biomedical Imaging' and 'Frontiers in Neuroscience'. He serves as a reviewer of numerous 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, Signal processing, etc. [*Prospective PhD students who have related research interests are encouraged to contact me by email*]
Qualifications
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PhD University of Surrey, (2011)
Appointments
University of Essex
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Lecturer, Computer Science and Electronic Engineering, University of Essex (1/7/2019 - present)
Other academic
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Assistant Professor, Shahrood University of Technology (1/1/2013 - 30/6/2019)
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Post-doctoral Research Assistant, Brunel University London (1/12/2011 - 31/12/2012)
Research and professional activities
Research interests
Signal processing
Image processing
Compressive sensing
Inverse problems and sparse recovery
Dictionary learning
image classification, signal classification, denoising, artifact removal
Biomedical signal and image processing
Machine learning and pattern recognition
Computer Vision
Teaching and supervision
Current teaching responsibilities
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Engineering Electromagnetics (CE266)
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Individual Capstone Project Challenge (CE301)
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Individual Project (CE601)
Previous supervision
Degree subject: Computer Science
Degree type: Master of Science (by Dissertation)
Awarded date: 17/6/2022
Publications
Journal articles (36)
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
Mokri, C., Bamdad, M. and Abolghasemi, V., (2022). Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques.. Medical and Biological Engineering and Computing. 60 (3), 683-699
Qasemian Reyhan Abadi, MR., Hoseintabar Marzebali, M., Abolghasemi, V. and Anisi, MH., (2022). High-Voltage Pulse Generators for Electroporation Applications: A Systematic Review. IEEE Access. 10, 1-1
Abolghasemi, V. and Anisi, MH., (2021). Compressive Sensing for Remote Flood Monitoring. IEEE Sensors Letters. 5 (4), 1-4
Ghaffari, A., Kafaee, M. and Abolghasemi, V., (2021). Smooth non-negative sparse representation for face and handwritten recognition. Applied Soft Computing. 111, 107723-107723
Jalali, Y., Fateh, M., Rezvani, M., Abolghasemi, V. and Anisi, MH., (2021). ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation. Sensors. 21 (1), 268-268
Fateh, A., Fateh, M. and Abolghasemi, V., (2021). Multilingual handwritten numeral recognition using a robust deep network joint with transfer learning. Information Sciences. 581, 479-494
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
Rahmati, M., Fateh, M., Rezvani, M., Tajary, A. and Abolghasemi, V., (2020). Printed Persian OCR system using deep learning. IET Image Processing. 14 (15), 3920-3931
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
Book chapters (1)
Abolghasemi, V. and Falahati, R., (2022). L2 handwritten assignments for automated writing evaluation: A text recognition study. In: TECHNOLOGY IN SECOND LANGUAGE WRITING Advances in Composing, Translation, Writing Pedagogy and Data-Driven Learning. Editors: Qin, J. and Stapleton, P., . Routledge. 1032245808. 9781003279358
Conferences (38)
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
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
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
Grants and funding
2021
Proof of Concept for an AI procedure in Chest X-Ray screening
University of Essex (GCRF)
Glasswall Solutions KTP Application
Innovate UK (formerly Technology Strategy Board)
2020
Wilkin & Sons KTP application
Wilkin & Sons Ltd
Contact
Academic support hours:
Tuesdays 1-3pm on campus/zoom to be confirmed in advance via email