Carlo De Michele

Professor of Hydrology and Water Engineering

Politecnico di Milano

Italy

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Research Interests

Climatology

80%

Meteorology

50%

Synoptic Meteorology

50%

Precipitation

40%

Remote Sensing

40%

Climate Dynamics

40%

Geomorphology

30%

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Articles19

A systematic correlation analysis for regression model selection: Application to bridge response prediction using contact and remote sensor systems

Year:

2024

An innovative predictive method based on supervised teacher-student learning for forecasting limited structural responses of long-span bridges from satellite images

Year:

2024

Application of regression and remote sensing technology for determining sufficiency of contact-based sensors in long-term SHM of civil structures

Year:

2024

Rainfall Observation Leveraging Raindrop Sounds Acquired Using Waterproof Enclosure: Exploring Optimal Length of Sounds for Frequency Analysis

Year:

2024

Temporal clustering of precipitation for detection of potential landslides

Year:

2024

Temporal Clustering of Precipitation Driving Landslides Over the Italian Territory

Year:

2024

Exploring the joint probability of precipitation and soil moisture over Europe using copulas

Year:

2024

Understanding the cost of soil erosion: An assessment of the sediment removal costs from the reservoirs of the European Union

Year:

2024

Investigating an extreme precipitation network with a threshold on the interest factor

Year:

2023

Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models

Year:

2023

Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques

Year:

2023

A REPLICABLE OPEN-SOURCE MULTI-CAMERA SYSTEM FOR LOW-COST 4D GLACIER MONITORING

Year:

2023

Application of copula-based and ARCH-based models in storm prediction

Year:

2023

Application of copula‐based approach as a new data‐driven model for downscaling the mean daily temperature

Year:

2023

Asymmetric Dependence in Hydrological Extremes

Year:

2023

Compound flood hazard at Lake Como, Italy, is driven by temporal clustering of rainfall events

Year:

2022

Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data

Year:

2022

Detection of Partially Structural Collapse Using Long-Term Small Displacement Data from Satellite Images

Year:

2022

Hydrological response of a peri-urban catchment exploiting conventional and unconventional rainfall observations: the case study of Lambro Catchment

Year:

2022

Collaborators5

Changhyun Jun

Chung-Ang University

SOUTH KOREA

Alireza Entezami

Assistant Professor (RTDa)

Politecnico di Milano

ITALY

Joaquim G. Pinto

Professor

Karlsruhe Institute of Technology

GERMANY

MICHELE D'AMICO

Associate Professor

Politecnico di Milano

ITALY

Hyeon-Joon Kim

Chung-Ang University

SOUTH KOREA

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