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
Wednesday 3-5 pm on campus/zoom to be confirmed in advance via email.
Profile
Biography
Dr. Abolghasemi is a Senior Lecturer (Associate Professor) at the School of Computer Science and Electronic Engineering, at the 糖心Vlog. 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, contributing to an EPSRC-funded project on application of compressive sensing for terahertz imaging. His primary research encompasses signal and image processing, computer vision, and machine learning, with a specific focus on compressive sensing and its expansion into emerging fields. Driven by his interest in advancing technology, his research findings have yielded innovative solutions in medical, agricultural, and industrial applications, resulting in publications in esteemed journals and conferences. Currently, Dr. Abolghasemi is actively engaged in broadening the practical applications of his theoretical knowledge. His expertise extends to cutting-edge technologies, including smart and adaptive low-power sensing and communication, wireless image transmission, compressed and lightweight neural networks, and artificial intelligence. These advancements find applications in crucial sectors such as healthcare, agriculture, and global environmental challenges. Recognised for his contributions, Dr. Abolghasemi is a Senior Member of IEEE and received the IEEE Young Investigator Award in 2018. He has served as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and has been a technical program committee member and keynote speaker at several flagship conferences. Additionally, he actively reviews for numerous reputable journals, including IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, and Signal Processing. [*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
糖心Vlog
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Senior Lecturer, Computer Science and Electronic Engineering, 糖心Vlog (1/10/2023 - present)
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Lecturer, Computer Science and Electronic Engineering, 糖心Vlog (1/7/2019 - 30/9/2023)
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
Deep compressive sensing
Dictionary/deep learning
Biomedical signal and image processing
Machine learning and pattern recognition
Computer Vision
Anomaly detection
Teaching and supervision
Current teaching responsibilities
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Professional Practice and Research Methodology (CE902)
Current supervision
Previous supervision
Degree subject: Computer Science
Degree type: Master of Science (by Dissertation)
Awarded date: 17/6/2022
Publications
Publications (2)
Phoemsuk, A. and Abolghasemi, V., (2024). Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024). Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method
Journal articles (61)
Azimi Abriz, S., Fateh, M., Jafarinejad, F. and Abolghasemi, V., Multi-Disease Detection in Retinal Imaging Using VNet with Image Processing Methods for Data Generation. Advanced Intelligent Systems
Parcham, E., Fateh, M. and Abolghasemi, V., (2025). . PLoS ONE. 20 (2), e0314393-e0314393
Jarrahi, MA. and Abolghasemi, V., (2025). A Power Control and Management Framework for Integration of PV-based DC Microgrids with Battery Storages and Supercapacitors. IEEE Open Access Journal of Power and Energy, 1-1
Jarrahi, MA., Jafari, A., Abolghasemi, V. and Faiz, J., (2025). . IEEE Sensors Letters. 9 (5), 1-4
Khajeha, HR., Fateh, M., Abolghasemi, V., Fateh, AR., Emamian, MH., Hashemi, H. and Fotouhi, A., (2025). Advancing Glaucoma Diagnosis Through Multi鈥怱cale Feature Extraction and Cross鈥怉ttention Mechanisms in Optical Coherence Tomography Images. Engineering Reports. 7 (4)
Kalatehjari, E., Hosseini, MM., Harimi, A. and Abolghasemi, V., (2025). . Biomedical Signal Processing and Control. 108, 107846-107846
Khajeha, HR., Fateh, M. and Abolghasemi, V., (2024). . Engineering Reports. 6 (10)
Fateh, A., Tahmasbi Birgani, R., Fateh, M. and Abolghasemi, V., (2024). . IEEE Access. 12, 41381-41395
Bazghandi, R., Hoseintabar Marzebali, M. and Abolghasemi, V., (2024). . IEEE Access. 12, 41056-41065
Wu, J., Abolghasemi, V., Anisi, MH., Dar, U., Ivanov, A. and Newenham, C., (2024). . IEEE Transactions on AgriFood Electronics. 2 (2), 259-267
Hajnayeb, S., Hoseintabar Marzebali, M., Abolghasemi, V. and Faiz, J., (2024). . IEEE Transactions on Instrumentation and Measurement. 73, 1-13
Modanlou Jouybari, M., Alireza, T., Mansoor, F. and Abolghasemi, V., (2024). . PeerJ Computer Science. 10, e2270-e2270
Rezvani, S., Soleymani Siahkar, F., Rezvani, Y., Alavi Gharahbagh, A. and Abolghasemi, V., (2024). . IEEE Access. 12, 121077-121092
Bazghandi, R., Hoseintabar Marzebali, M., Abolghasemi, V. and Hedayati Kia, S., (2023). . Energies. 16 (14), 5551-5551
Singh, SK., Abolghasemi, V. and Anisi, MH., (2023). . Applied Sciences. 13 (15), 8927-8927
Fateh, A., Fateh, M. and Abolghasemi, V., (2023). . Engineering Reports. 6 (9)
Abolghasemi, V., Marzebali, MH. and Ferdowsi, S., (2022). . IEEE Transactions on Instrumentation and Measurement. 71, 1-11
Mokri, C., Bamdad, M. and Abolghasemi, V., (2022). . Medical and Biological Engineering and Computing. 60 (3), 683-699
Abadi, MRQR., Marzebali, MH., Abolghasemi, V. and Anisi, MH., (2022). . IEEE Access. 10, 64933-64951
Ameri, R., Alameer, A., Ferdowsi, S., Nazarpour, K. and Abolghasemi, V., (2022). . Information Sciences. 609, 489-506
Marzebali, MH., Bazghandi, R. and Abolghasemi, V., (2022). . IEEE Transactions on Instrumentation and Measurement. 71, 1-11
Singh, SK., Abolghasemi, V. and Anisi, MH., (2022). . Sensors. 22 (16), 6261-6261
Ghonchi, H. and Abolghasemi, V., (2022). . IEEE Sensors Journal. 22 (23), 22908-22918
Bazghandi, R., Marzebali, MH. and Abolghasemi, V., (2022). . IEEE Journal of Emerging and Selected Topics in Industrial Electronics. 4 (3), 725-733
Bamdad, M., Mokri, C. and Abolghasemi, V., (2022). . Medical Engineering and Physics. 110, 103933-103933
Marzebali, MH., Abolghasemi, V., Ferdowsi, S. and Bazghandi, R., (2022). . IET Science, Measurement & Technology. 16 (9), 523-532
Abolghasemi, V. and Anisi, MH., (2021). . IEEE Sensors Letters. 5 (4), 1-4
Ghaffari, A., Kafaee, M. and Abolghasemi, V., (2021). . Applied Soft Computing. 111, 107723-107723
Jalali, Y., Fateh, M., Rezvani, M., Abolghasemi, V. and Anisi, MH., (2021). . Sensors. 21 (1), 268-268
Fateh, A., Fateh, M. and Abolghasemi, V., (2021). . Information Sciences. 581, 479-494
Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S. and Rezvani, M., (2020). . 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). . Signal Processing: Image Communication. 70, 259-270
Abolghasemi, V. and Mesri, M., (2019). Update on New Therapies of Diabetic Foot Ulcers: A Systematic Review. JOURNAL OF INTERNATIONAL TRANSLATIONAL MEDICINE. 7 (1), 61-64
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 渭 rhythms: An EEG鈥揻MRI study. Neurocomputing. 275, 1836-1845
Ferdowsi, S. and Abolghasemi, V., (2018). . 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鈥揻requency 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鈥揊requency Distributions. Circuits, Systems, and Signal Processing. 37 (8), 3154-3174
(2018). Iterative Weighted Non-smooth Non-negative Matrix Factorization for Face Recognition. International Journal of Engineering. 31 (10), 1698-1707
Askari聽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聽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). . Journal of Pharmaceutical Sciences. 106 (2), 546-553
Javaran, TA., Hassanpour, H. and Abolghasemi, V., (2017). . Computer Vision and Image Understanding. 154, 16-34
Nazari Siahsar, MA., Gholtashi, S., Abolghasemi, V. and Chen, Y., (2017). . 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). . Neurocomputing. 218, 382-389
Abolghasemi, V. and Ferdowsi, S., (2015). EEG鈥揻MRI: 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鈥揻MRI 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鈥揻MRI 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 (2)
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. 152- 167
Abolghasemi, V., Ameri, R. and Nazarpour, K., (2021). Handwritten digits recognition using dictionary learning. In: Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, technologies and applications. 83- 116
Conferences (48)
Phoemsuk, A. and Abolghasemi, V., Multi-Disease Cardiovascular Detection from ECG Signals Using an Attention-Driven Deep Network
Jarrahi, M., Bourtsoulatze, E. and Abolghasemi, V., (2024).
Phoemsuk, A. and Abolghasemi, V., (2024).
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024).
Jarrahi, MA., Bourtsoulatze, E. and Abolghasemi, V., (2024).
Vijayakanthan, G., Vaishali, R. and Abolghasemi, V., (2024).
Hajnayeb, S., Amerian, F., Marzebali, MH., Abolghasemi, V. and Seyyedbarzegar, SM., (2024). Broken Rotor Bar Fault Detection in Induction Machines Based on Rectified Three-Phase Stator Currents
Wu, J., Dar, U., Anisi, MH., Abolghasemi, V., Wilkin, CN. and Wilkin, AI., (2023).
Dar, U., Anisi, MH., Abolghasemi, V., Newenham, C. and Ivanov, A., (2023).
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).
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. and Abolghasemi, V., (2017). License Plate Detection in Complex Scenes based on Fusion of Gaussian Filtering and Bayesian Network
Mohammadi, M., Pouyan, AA., Abolghasemi, V. and Khan, NA., (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 伪-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
2024
To create an AI-driven dashboard which ingests data from a range of IoT devices and sensors and provides real-time actionable insights to clients in the retail sector.
Innovate UK (formerly Technology Strategy Board)
2023
Development of a smart irrigation system to minimise water use in a plant nursery
糖心Vlog (BBSRC IAA)
To develop a monitoring system, with associated machine learning capabilities, to detect disease and plant stress in apples before symptoms become visible to the human eye.
Innovate UK (formerly Technology Strategy Board)
To develop a novel State of Charge and fire prevention prediction system for High Voltage Battery Management Systems.
Innovate UK (formerly Technology Strategy Board)
2022
Allpress Farms Ltd KTP application
Innovate UK (formerly Technology Strategy Board)
2021
Proof of Concept for an AI procedure in Chest X-Ray screening
糖心Vlog (GCRF)
Glasswall Solutions KTP Application
Innovate UK (formerly Technology Strategy Board)
2020
Wilkin & Sons KTP application
Wilkin & Sons Ltd
Contact
Academic support hours:
Wednesday 3-5 pm on campus/zoom to be confirmed in advance via email.
