Research output per year
Research output per year
Personal profile
Research Interests
Professor Ravasi's research interests are in geophysical inverse problems with applications to seismic acquisition and processing, imaging, quantitative interpretation, and time-lapse monitoring. He is also interested in the use of machine learning and high-performance computing and heavily involved in the development of open-source software.
Education
Geophysics, Ph.D., University of Edinburgh
2015
Telecommunications, M.Sc., Politecnico di Milano
2011
Telecommunications, B.Sc., Politecnico di Milano
2009
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Why projection over convex sets works and how to make it better
Ravasi, M. & Luiken, N., Jan 1 2024, In: Geophysics. 89, 1, p. A1-A5Research output: Contribution to journal › Article › peer-review
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A deep learning-based approach to increase efficiency in the acquisition of ultrasonic non-destructive testing datasets
Luiken, N. & Ravasi, M., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 3094-3102 9 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A deep learning-based inverse Hessian for Full Waveform Inversion
Alfarhan, M., Ravasi, M. & Alkhalifah, T., Dec 14 2023, p. 635-639. 5 p.Research output: Contribution to conference › Paper › peer-review
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A Field Data Application of RockAVO: Data-driven, Direct Petrophysical Inversion of Pre-stack Seismic Data
Corrales, M., Hoteit, H. & Ravasi, M., Dec 14 2023, p. 6-10. 5 p.Research output: Contribution to conference › Paper › peer-review
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Can tile low-rank compression live up to expectations? An application to 3D multi-dimensional deconvolution
Hong, Y., Ravasi, M., Ltaief, H. & Keyes, D., Dec 14 2023, p. 1528-1532. 5 p.Research output: Contribution to conference › Paper › peer-review
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Frugal uncertainty analysis for full waveform inversion
Izzatullah, M., Ravasi, M. & Alkhalifah, T. A., 2023, 84th EAGE Annual Conference & Exhibition. European Association of Geoscientists & EngineersResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Integrating self-supervised denoising in inversion-based seismic deblending
Luiken, N., Ravasi, M. & Birnie, C., Nov 1 2023, In: Geophysics. 89, 1, p. WA39-WA51Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Multi-realization seismic data processing with Deep Variational Preconditioners
Ravasi, M., Dec 14 2023, p. 1495-1499. 5 p.Research output: Contribution to conference › Poster › peer-review
Press/Media
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Data on Information Technology Reported by Researchers at King Abdullah University of Science and Technology (KAUST) (Seis2Rock: A Data-Driven Approach to Direct Petrophysical Inversion of Pre-Stack Seismic Data)
03/11/24
1 item of Media coverage
Press/Media: Press / Media