Projects per year
Professor Soleimani leads the Engieering Tomography Lab (ETL) group he found in 2011. ETL works in partnership with leading UK and internatioanl research teams and many industrial partners.
Particular interests are in ultrasound tomography, electrical and electromagnetic imaging and X-ray CT, nonlinear inverse problems, machine learning, and multi-modality imaging.
The main areas are in,
"Machine Learning", “Super-Sensing”, "X-ray CT", "Ultrasound tomography", “Multi-modality Tomography”, “Inverse Problems”, and “Electrical and Electromagnetic Tomography”, "Bio-impedance imaging", including: 1) Medical imaging , 2) Industrial process tomography, 3) Tomography for material characterisation.
Professor Soleimani has led the University of Bath's collaborations with CERN through CMS research and educational partnership established from 2019. This followed a highly successful medical imaging project between Bath and CERN leading to a joint open source software platform TIGRE.
Scientific Advisory Panel Member, University of Cambridge
2019 → …
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1/09/17 → 28/02/22
Project: EU Commission
1/06/18 → 30/11/21
Project: EU Commission
An Image Reconstruction Algorithm for A 12-electrode Capacitively Coupled Electrical Resistance Tomography System Under 2-electrode Excitation PatternXu, Z., Huang, J., Jiang, Y., Wang, B., Huang, Z. & Soleimani, M., 19 Jul 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 4505911 .
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile4 Downloads (Pure)
Lohvithee, M., Sun, W., Chretien, S. & Soleimani, M., 15 Jan 2021, In: Sensors. 21, 2, 591.
Research output: Contribution to journal › Article › peer-reviewOpen Access
An ultrasound tomography method for monitoring CO2 capture process involving stirring and CaCO3 precipitationKoulountzios, P., Aghajanian, S., Rymarczyk, T., Koiranen, T. & Soleimani, M., 19 Oct 2021, In: Sensors. 21, 21, 6995.
Research output: Contribution to journal › Article › peer-reviewOpen Access2 Downloads (Pure)
Application of deep neural network to the reconstruction of two-phase material imaging by capacitively coupled electrical resistance tomographyChen, Z., Ma, G., Jiang, Y., Wang, B. & Soleimani, M., 29 Apr 2021, (E-pub ahead of print) In: Electronics.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile15 Downloads (Pure)
A triple-modality ultrasound computed tomography based on full-waveform data for industrial processesKoulountzios, P., Rymarczyk, T. & Soleimani, M., 23 Jul 2021, In: IEEE Sensors Journal.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile9 Downloads (Pure)
Dataset for "A multi-variable study of factors affecting the complex resistivity of conductive mortar"