Biondo Biondi

Barney and Estelle Morris Professor

Stanford University

United States

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Biondo Biondi is the Barney and Estelle Morris Professor at Stanford University in the United States. His research focuses on distributed acoustic sensing, elastic full-waveform inversion, and seismic imaging, particularly in urban environments. Recent publications highlight advancements in vehicle-induced sensing, CO2 monitoring, and modeling uncertainties in seismic data analysis.

Articles (17)

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2025

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2024

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2024

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2023

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2021

Collaborators (9)

Patrick Paitz

Swiss Federal Institute for Forest, Snow and Landscape Research

SWITZERLAND

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Emanuele Bozzi

University of Milano-Bicocca

ITALY

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Clifford Thurber

Emeritus Professor

University of Wisconsin-Madison

UNITED STATES

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Zack Spica

Assistant Professor

University of Michigan

UNITED STATES

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BEATRIZ GAITE

SPAIN

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Torsten Dahm

Professor

University of Potsdam

GERMANY

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Jonathan Ajo-Franklin

Professor

Rice University

UNITED STATES

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Yiwen Dong

University of Illinois Urbana–Champaign

UNITED STATES

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Ariel Lellouch

ISRAEL

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Biondo Biondi

Research Interests

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About

Articles (17)

Characterizing Vehicle-Induced Distributed Acoustic Sensing Signals for Accurate Urban Near-Surface Imaging

Reservoir properties estimation before and after hydraulic stimulation using extended elastic full-waveform inversion and distributed acoustic sensing

DeepNRMS: Unsupervised deep learning for noise-robust CO2 monitoring in time-lapse seismic images

Exploiting the Potential of Urban DAS Grids: Ambient-Noise Subsurface Imaging Using Joint Rayleigh and Love Waves

Using Vehicle‐Induced DAS Signals for Near‐Surface Characterization With High Spatiotemporal Resolution

Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing

Modelling uncertainty in P-wave arrival-times retrieved from DAS data: case-studies from 15 fibre optic cables

PubDAS: A PUBlic Distributed Acoustic Sensing Datasets Repository for Geosciences

Moment tensor inversion of perforation shots using distributed-acoustic sensing

Full-waveform inversion by model extension: Practical applications

Full-waveform inversion by model extension: Theory, design, and optimization

TelecomTM

Target-oriented elastic full-waveform inversion through acoustic extended image-space redatuming

Turning Telecommunication Fiber-Optic Cables into Distributed Acoustic Sensors for Vibration-Based Bridge Health Monitoring

Automatic interpretive image-focusing analysis

Detection and Characterization of Microseismic Events from Fiber-Optic DAS Data Using Deep Learning

Properties of a deep seismic waveguide measured with an optical fiber

Collaborators (9)

Patrick Paitz

Emanuele Bozzi

Clifford Thurber

Zack Spica

BEATRIZ GAITE

Torsten Dahm

Jonathan Ajo-Franklin

Yiwen Dong

Ariel Lellouch

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