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Information on professor
ProfessorMariani Stefano
QualificationFull professor full time
Belonging DepartmentDipartimento di Ingegneria Civile e Ambientale
Scientific-Disciplinary SectorICAR/08 - Structural Mechanics
Curriculum VitaeDownload CV (221.62Kb - 14/10/2019)

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Dipartimento di Ingegneria Civile e Ambientale1 (edificio 4)100ThursdayFrom 14:30
To 17:00
Professor's personal website--

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM (Show >>)
A Multi-stage Machine Learning Methodology for Health Monitoring of Largely Unobserved Structures Under Varying Environmental Conditions (Show >>)
Leadframe-Epoxy Moulding Compound Adhesion: a Micromechanics-driven Investigation (Show >>)
Journal Articles
MEMS Reliability: On-Chip Testing for the Characterization of the Out-of-Plane Polysilicon Strength (Show >>)

List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models (Show >>)
Enhanced Bayesian model updating for structural health monitoring via deep learning (Show >>)
Sistema fotovoltaico per impianto agrivoltaico comprendente una copertura protettiva (Show >>)
Contributions on scientific books
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning (Show >>)
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures (Show >>)
Mechanics of Microsystems: A Recent Journey in a Fascinating Branch of Mechanics (Show >>)
Reliability (Show >>)
Conference proceedings
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring (Show >>)
A Microfluidic Device Based on Standing Surface Acoustic Waves for Sorting and Trapping Microparticles (Show >>)
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring (Show >>)
Attention Mechanism-Driven Sensor Placement Strategy for Structural Health Monitoring (Show >>)
Deep Learning-based Multiscale Modelling of Polysilicon MEMS (Show >>)
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate (Show >>)
On-Chip Tests for the Characterization of the Mechanical Strength of Polysilicon † (Show >>)
Two-Scale Deep Learning Model for Polysilicon MEMS Sensors (Show >>)
Uncertainty Quantification at the Microscale: A Data-Driven Multi-Scale Approach (Show >>)
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics (Show >>)
Journal Articles
Classification of the Structural Behavior of Tall Buildings with a Diagrid Structure: A Machine Learning-Based Approach (Show >>)
Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology (Show >>)
Hybrid Model-Based and Data-Driven Solution for Uncertainty Quantification at the Microscale (Show >>)
SHM under varying environmental conditions: an approach based on model order reduction and deep learning (Show >>)
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning (Show >>)

List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
A Deep Learning-Based Approach to Uncertainty Quantification for Polysilicon MEMS (Show >>)
A Piezo-MEMS Device for Fatigue Testing of Thin Metal Layers (Show >>)
A deep learning approach to metric-based damage localization in structural health monitoring (Show >>)
A physics-informed neural network approach to stochastic homogenization of polycrystalline materials (Show >>)
A two-scale multi-physics deep learning model for smart MEMS sensors (Show >>)
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures (Show >>)
An on-chip MEMS testing device for uncertainty quantification at the microscale (Show >>)
Assessment of the seismic bearing capacity of strip footings over a void in heterogeneous soils: a Machine Learning-based approach (Show >>)
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers (Show >>)
On-Chip Assessment of Scattering in the Response of Si-Based Microdevices (Show >>)
Piezoelectric Ultrasonic Micromotor (Show >>)
Stochastic Homogenization and Uncertainty Quantification: A Data-Driven Approach (Show >>)
Contributions on scientific books
Early Damage Detection for Partially Observed Structures with an Autoregressive Spectrum and Distance-Based Methodology (Show >>)
Conference proceedings
A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction (Show >>)
A Stochastic Model to Describe the Scattering in the Response of Polysilicon MEMS (Show >>)
Learning the Link between Architectural Form and Structural Efficiency: A Supervised Machine Learning Approach (Show >>)
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks (Show >>)
SHM and Efficient Strategies for Reduced-Order Modeling (Show >>)
Journal Articles
A Two-Scale Multi-Physics Deep Learning Model for Smart MEMS Sensors (Show >>)
An autoencoder-based deep learning approach for load identification in structural dynamics (Show >>)
Health monitoring of large‐scale civil structures: An approach based on data partitioning and classical multidimensional scaling (Show >>)
Machine learning-based prediction of the seismic bearing capacity of a shallow strip footing over a void in heterogeneous soils (Show >>)
Online structural health monitoring by model order reduction and deep learning algorithms (Show >>)

List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A Hybrid Structural Health Monitoring Approach Based on Reduced-Order Modelling and Deep Learning (Show >>)
A time series autoencoder for load identification via dimensionality reduction of sensor recordings (Show >>)
An Unsupervised Learning Approach for Early Damage Detection by Time Series Analysis and Deep Neural Network to Deal with Output-Only (Big) Data (Show >>)
Health Monitoring of Flexible Structures Via Surface-mounted Microsensors: Network Optimization and Damage Detection (Show >>)
Low Cost Self-assembling Kinetic façade system for Shading and Water harvesting (Show >>)
Mechanical Characterization of Polysilicon MEMS Devices: A Stochastic, Deep Learning-based Approach (Show >>)
Stochastic Mechanical Characterization of Polysilicon MEMS: A Deep Learning Approach (Show >>)
The impacts of different façade types on energy use in residential buildings (Show >>)
Editorship of scientific books
Selected Papers from the 5th International Electronic Conference on Sensors and Applications (Show >>)
Journal Articles
Assessment of the shock adsorption properties of bike helmets: a numerical/experimental approach (Show >>)
Big data analytics and structural health monitoring: A statistical pattern recognition-based approach (Show >>)
Combined effects of temperature and humidity on the mechanical properties of polyurethane foams (Show >>)
Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection (Show >>)
Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks (Show >>)
Fully convolutional networks for structural health monitoring through multivariate time series classification (Show >>)
Seismic reliability assessment of RC tunnel-form structures with geometric irregularities using a combined system approach (Show >>)

List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
A novelty detection method for large-scale structures under varying environmental conditions (Show >>)
Low-order feature extraction technique and unsupervised learning for SHM under high-dimensional data (Show >>)
Conference proceedings
Structural Health Monitoring for Condition Assessment Using Efficient Supervised Learning Techniques (Show >>)
Journal Articles
Effect of imperfections due to material heterogeneity on the offset of polysilicon MEMS structures (Show >>)
Estimation of air damping in Out-of-plane comb-drive actuators (Show >>)
Identification of strength and toughness of quasi-brittle materials from spall tests: a Sigma-point Kalman filter approach (Show >>)
Stochastic effects on the dynamics of the resonant structure of a Lorentz force MEMS magnetometer (Show >>)
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