Recent publications
Article
Afrasiabi, A, Faramarzi, A, Chapman, D & Keshavarzi, A 2025, 'Optimising Ground Penetrating Radar data interpretation: A hybrid approach with AI-assisted Kalman Filter and Wavelet Transform for detecting and locating buried utilities', Journal of Applied Geophysics, vol. 232, 105567. https://doi.org/10.1016/j.jappgeo.2024.105567
Chen, K, Eskandari Torbaghan, M, Thom, N & Faramarzi, A 2025, 'Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability', Engineering Applications of Artificial Intelligence, vol. 142, 109922. https://doi.org/10.1016/j.engappai.2024.109922
Ye, Z, Lin, W, Faramarzi, A, Xie, X & Ninic, J 2025, 'SAM4Tun: No-training model for tunnel lining point cloud component segmentation', Tunnelling and Underground Space Technology, vol. 158, 106401. https://doi.org/10.1016/j.tust.2025.106401
Chen, K, Eskandari Torbaghan, M, Thom, N, Garcia-Hernández, A, Faramarzi, A & Chapman, D 2024, 'A Machine Learning based approach to predict road rutting considering uncertainty', Case Studies in Construction Materials, vol. 20, e03186. https://doi.org/10.1016/j.cscm.2024.e03186
Pentassuglia, F, Kazantzi, AK, Faramarzi, A & Mitoulis, S-A 2024, 'Bridge assessment based on deflection as a measure of damage using Machine Learning-enhanced pattern identification', Procedia Structural Integrity, vol. 64, pp. 254-261. https://doi.org/10.1016/j.prostr.2024.09.241
Ye, Z, Lovell, L, Faramarzi, A & Ninic, J 2024, 'Sam-based instance segmentation models for the automation of structural damage detection', Advanced Engineering Informatics, vol. 62, no. Part C, 102826. https://doi.org/10.1016/j.aei.2024.102826
Conference article
Izonin, I, Tkachenko, R, Mitoulis, S, Faramarzi, A, Tsmots, I & Mashtalir, D 2024, 'Machine learning for predicting energy efficiency of buildings: a small data approach', Procedia Computer Science, vol. 231, pp. 72-77. https://doi.org/10.1016/j.procs.2023.12.173
Conference contribution
Ye, Z, Faramarzi, A, Ninic, J & Lin, W 2025, Automated digital twin reconstruction for tunnel inspection and maintenance. in F Johansson, A Ansell, D Johansson, J Funehag & J Norman (eds), Tunnelling into a Sustainable Future – Methods and Technologies: Proceedings of the ITA-AITES World Tunnel Congress 2025 (WTC 2025), 9-15 May 2025, Stockholm, Sweden. 1 edn, CRC Press, pp. 517-524, World Tunnel Congress 2025, Sweden, 9/05/25. https://doi.org/10.1201/9781003559047-67
Khine, MTZ, Ghiassi, B, Faramarzi, A & Kushnierova, L 2025, Effect of Curing Condition on Moisture Transport in Lime-Based Mortar. in G Milani & B Ghiassi (eds), 18th International Brick and Block Masonry Conference: Proceedings of IB2MaC 2024—Volume 2. 1 edn, vol. 2, Lecture Notes in Civil Engineering, vol. 614, Springer, pp. 1002-1010, 18th International Brick and Block Masonry Conference, IB2MaC 2024, Birmingham, United Kingdom, 21/07/24. https://doi.org/10.1007/978-3-031-73310-9_76
Metje, N, Jefferson, I, Hansard, K, Chapman, D & Faramarzi, A 2024, National Buried Infrastructure Facility (NBIF)-New Opportunities for Controlled Testing. in W Wu, CF Leung, Y Zhou & X Li (eds), Proceedings of the 18th Conference of the Associated Research Centers for the Urban Underground Space: ACUUS 2023; 1–4 November; Singapore. 1 edn, Lecture Notes in Civil Engineering, vol. 471, Springer, pp. 1221-1223, 18th Conference of the Associated Research Centers for the Urban Underground Space, ACUUS 2023, Boulevard, Singapore, 1/11/23. https://doi.org/10.1007/978-981-97-1257-1_166
Devanand, K, Ghiassi, B, Faramarzi, A & Mehravar, M 2024, Particle-Based DEM to Assess Masonry Behaviour Under Compression. in G Milani & B Ghiassi (eds), 18th International Brick and Block Masonry Conference: Proceedings of IB2MaC 2024—Volume 1. 1 edn, vol. 1, Lecture Notes in Civil Engineering, vol. 613, Springer, pp. 254-271, 18th International Brick and Block Masonry Conference, IB2MaC 2024, Birmingham, United Kingdom, 21/07/24. https://doi.org/10.1007/978-3-031-73314-7_19
King, T, Boddice, D, Luo, S, Rahimzadeh, F, Rodgers, A, Faramarzi, A & Metje, N 2024, Quantum Gravity Gradiometers for Urban Underground Mapping. in W Wu, CF Leung, Y Zhou & X Li (eds), Proceedings of the 18th Conference of the Associated Research Centers for the Urban Underground Space: ACUUS 2023; 1–4 November; Singapore. 1 edn, Lecture Notes in Civil Engineering, vol. 471, Springer, pp. 1133-1138, 18th Conference of the Associated Research Centers for the Urban Underground Space, ACUUS 2023, Boulevard, Singapore, 1/11/23. https://doi.org/10.1007/978-981-97-1257-1_143
Ye, Z, Lovell, L, Faramarzi, A & Ninic, J 2024, SAM-based Structural Surface Damage Detection. in B Riveiro & P Arias (eds), Proceedings of the 31st International Workshop on Intelligent Computing in Engineering. University of Vigo, pp. 176-185, 31st International Workshop on Intelligent Computing in Engineering, Vigo, Spain, 1/07/24. <https://3dgeoinfoeg-ice.webs.uvigo.es/proceedings>
Exhibition
Faramarzi, A, Boddice, D, Castro, G, Cha, W, Soudmand-Niri, S, Rahimzadeh, F, Sgarabotto, A, Boszormenyi, E, Ardakani, F, Mehravar, M, Metje, N & Holynski, M, Going Underground, 2024, Exhibition.
Preprint
Ye, Z, Lovell, L, Faramarzi, A & Ninić, J 2024 'Sam-Based Instance Segmentation Models for the Automation of Structural Damage Detection' SSRN. https://doi.org/10.2139/ssrn.4750668
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