Full publication list

Journal articles

• Santarsiero, G., Masi, A., Romano, A., Picciano, V., Savoia, M. (2025)
  AI-Assisted Inspection of Bridge Bearings: Integrating Computer Vision and Large Language Models into the APPOGGI procedure, Engineering Structures (under revision, manuscript number ENGSTRUCT-D-25-09747).
• Santarsiero, G. (2025)
  Automated assessment of bridge guardrails for regional prioritization based on open-source data and deep learning algorithms, Results in Engineering, 26, 105210. https://doi.org/10.1016/j.rineng.2025.105210
• Santarsiero, G., Mishra, M., Singh, M.K., Masi, A. (2021)
  Structural health monitoring of exterior beam–column subassemblies through detailed numerical modelling and using various machine learning techniques, Machine Learning With Applications, 6, 100190. https://doi.org/10.1016/j.mlwa.2021.100190
• Shakya, A., Mishra, M., Maity, D., Santarsiero, G. (2019)
  Structural health monitoring based on the hybrid ant colony algorithm by using Hooke–Jeeves pattern search, SN Applied Sciences, 1(7), 799. https://link.springer.com/article/10.1007/s42452-019-0808-6
• Asif, M., Kuglitsch, M.M., Pelivan, I., et al. (2025)
  Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting, Water Resources Management, 39, 1971–1991. https://doi.org/10.1007/s11269-025-04093-x
• Zakariya, K.M., Sarwar, T., Farid, H.U., Albano, R., Inam, M.A., Shoaib, M., Ahmad, A., Ahmad, M. (2025)
  Land Use Land Cover (LULC) Mapping for Assessment of Urbanization Impacts on Cropping Patterns and Water Availability in Multan, Pakistan, Earth, 6, 79. https://doi.org/10.3390/earth6030079
• Abbas, T., Shoaib, M., Albano, R., Baig, M.A.I., Ali, I., Farid, H.U., Ali, M.U. (2025)
  Artificial-Intelligence-Based Investigation on Land Use and Land Cover (LULC) Changes in Response to Population Growth in South Punjab, Pakistan, Land, 14, 154. https://doi.org/10.3390/land14010154
• Salahudin, H., Shoaib, M., Albano, R., Inam Baig, M.A., Hammad, M., Raza, A., Akhtar, A., Ali, M.U. (2023)
  Using Ensembles of Machine Learning Techniques to Predict Reference Evapotranspiration (ET0) Using Limited Meteorological Data, Hydrology, 10, 169. https://doi.org/10.3390/hydrology10080169
• Khan, M.T., Shoaib, M., Albano, R., Inam, M.A., Salahudin, H., Hammad, M., Ahmad, S., Ali, M.U., Hashim, S., Ullah, M.K. (2023)
  Intercomparison and Assessment of Stand-Alone and Wavelet-Coupled Machine Learning Models for Simulating Rainfall-Runoff Process in Four Basins of Pothohar Region, Pakistan, Atmosphere, 14, 452. https://doi.org/10.3390/atmos14030452
• Notarangelo, N.M., Mazzariello, A., Albano, R., Sole, A. (2021)
  Comparing Three Machine Learning Techniques for Building Extraction from a Digital Surface Model, Applied Sciences, 11, 6072. https://doi.org/10.3390/app11136072
• Notarangelo, N.M., Hirano, K., Albano, R., Sole, A. (2021)
  Transfer Learning with Convolutional Neural Networks for Rainfall Detection in Single Images, Water, 13, 588. https://doi.org/10.3390/w13050588
• Mecca, G., Santomauro, M., Santoro, D., Veltri, E. (2021)
  IoT Helper: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures, Applied Sciences, 11(20), 9670. https://doi.org/10.3390/app11209670

Conference papers

• Santarsiero, G., Picciano, V., Ventricelli, N., Masi, A. (2025)
  Automated Damage Classification and Code-Based Reporting in Bridge Inspections Using Deep Learning Algorithms, Artiste – Artificial Intelligence in Structural Engineering Conference, Torino, September 2025.
• Santarsiero, G., Romano, A., Picciano, V., Masi, A. (2025)
  Intelligent inspection of bridge bearings through an Engineering Constrained ML approach, Artiste – Artificial Intelligence in Structural Engineering Conference, Torino, September 2025.
• Picciano, V., Masi, A., Digrisolo, A. (2024)
  Structural analysis of dapped-end beams through machine learning techniques, IABMAS Conference, Copenhagen, 2024.
• Mishra, M., Albano, R., Sole, A. (2025)
  Deep learning-assisted flood depth measurement using flooded car images and video feeds from urban flood events, Italian Hydrological Society 2025 Conference, Bari, Italy, 8-10 September 2025. https://zenodo.org/records/17298437
• Capece, N., Erra, U., Scolamiero, R. (2017)
  Converting Night-Time Images to Day-Time Images through a Deep Learning Approach, 2017 21st International Conference Information Visualisation (IV), London, 2017, pp. 324-331. https://doi.org/10.1109/iV.2017.16
• Gruosso, M., Capece, N., Erra, U., Lopardo, N. (2019)
  A Deep Learning approach for the Motion Picture Content Rating, 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2019), Napoli, Italy, October 23-25, 2019. https://doi.org/10.1109/CogInfoCom47531.2019.9089897

Research reports

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Bachelor thesis

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Master thesis

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