Degree programme
Programme Structure
Show/Search Programme
Degree Programme
Quantitative data
International context
Customized Schedule
Your customized time schedule has been disabled
Search a Lecturer
Lecturer's activities
Search a Course
Search a Course (system prior D.M. n. 509)
Search Lessons taught in English
Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
LecturerMariani 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)

Office hours
Dipartimento di Ingegneria Civile e Ambientale1 (edificio 4)100ThursdayFrom 14:30
To 17:00
Personal website---

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

List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Delamination of copper/moulding compound interfaces in microelectronics packaging (Show >>)
Journal Articles
A digital twin framework for civil engineering structures (Show >>)
System Identification via Unscented Kalman Filtering and Model Class Selection (Show >>)

List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Accounting for friction in the characterization of synthetic sports surfaces (Show >>)
Active truss metamaterials: modelling and tuning of band gaps (Show >>)
Exploring structural sustainability of tall buildings subject to seismic loads (Show >>)
Piezo-actuated MEMS testing devices for materials characterization at the microscale (Show >>)
Contributions on scientific books
Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors (Show >>)
Conference proceedings
A Comparative Study on Structural Displacement Prediction by Kernelized Regressors under Limited Training Data (Show >>)
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 >>)
A Non-Parametric Mixed Learning Technique for Mitigating Environmental Effects on Structural Modal Frequencies (Show >>)
A Parsimonious Yet Robust Regression Model for Predicting Limited Structural Responses of Remote Sensing (Show >>)
AI-assisted generative workflow for the early-stage design of sustainable tall buildings based on their structural behaviour (Show >>)
Adhesion Copper/Molding Compound: Modeling and Characterization (Show >>)
Automatic and Non-Invasive Monitoring of Water Stress in Vineyards (Show >>)
Characterization of Polysilicon Strength through On-Chip Testing at MEMS Stoppers (Show >>)
Copper/Molding Compound Interfacial Delamination (Show >>)
Development of a Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring (Show >>)
Full-Field Modal Analysis Using Video Measurements and a Blind Source Separation Methodology (Show >>)
Leadframe-Epoxy Moulding Compound Adhesion: a Micromechanics-driven Investigation (Show >>)
Optimization of the Geometry of a Microelectromechanical System Testing Device for SiO2—Polysilicon Interface Characterization (Show >>)
Regression Tree Ensemble to Forecast Thermally Induced Responses of Long-Span Bridges (Show >>)
Structural Identification Using Digital Image Correlation Technology (Show >>)
Vision-Based Structural Identification Using an Enhanced Phase-Based Method (Show >>)
Journal Articles
A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks (Show >>)
Active Truss Metamaterials: Modelling and Tuning of Band Gaps (Show >>)
Assessment of the effects of non-structural components on the seismic reliability of structures via a block diagram method (Show >>)
MEMS Reliability: On-Chip Testing for the Characterization of the Out-of-Plane Polysilicon Strength (Show >>)
Multi-storey shear type buildings under earthquake loading: Adversarial learning-based prediction of the transient dynamics and damage classification (Show >>)
Surface Acoustic Wave-Based Microfluidic Device for Microparticles Manipulation: Effects of Microchannel Elasticity on the Device Performance (Show >>)
Truss Metamaterials: Multi-Physics Modeling for Band Gap Tuning (Show >>)
Unsupervised cross-domain damage detection and localization for vibration isolators in metro floating-slab track (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 >>)
manifesti v. 3.6.1 / 3.6.1
Area Servizi ICT