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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.
Italiano
Information
LecturerMariani Stefano
QualificationFull professor full time
Belonging DepartmentDipartimento di Ingegneria Civile e Ambientale
Scientific-Disciplinary SectorCEAR-06/A - Mechanics Of Solids And Structures
Curriculum VitaeDownload CV (221.62Kb - 14/10/2019)
OrcIDhttps://orcid.org/0000-0001-5111-9800

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Dipartimento di Ingegneria Civile e Ambientale1 (edificio 4)100ThursdayFrom 14:30
To 17:00		02-2399427902-23994220---
E-mailstefano.mariani@polimi.it
Personal website---

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

List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Online learning of time-varying dynamic systems with EKF-SINDy (Show >>)
Predictive digital twins for health monitoring: From structural safety to personalized medicine (Show >>)
Journal Articles
A kernelized deep regression method to simultaneously predict and normalize displacement responses of long-span bridges via limited synthetic aperture radar images (Show >>)
Displacement prediction for long-span bridges via limited remote sensing images: An adaptive ensemble regression method (Show >>)
Early warning of structural damage via manifold learning-aided data clustering and non-parametric probabilistic anomaly detection (Show >>)
Online learning in bifurcating dynamic systems via SINDy and Kalman filtering (Show >>)


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 >>)
Predictive Digital Twins for Optimized Management and Maintenance of Civil Structures (Show >>)
Predictive digital twins of engineering structures using neural networks and probabilistic graphical models (Show >>)
Conference proceedings
A systematic correlation analysis for regression model selection: Application to bridge response prediction using contact and remote sensor systems (Show >>)
Agrivoltaics: A Digital Twin to Learn the Effect of Solar Panel Coverage on Crop Growth (Show >>)
An innovative predictive method based on supervised teacher-student learning for forecasting limited structural responses of long-span bridges from satellite images (Show >>)
Application of regression and remote sensing technology for determining sufficiency of contact-based sensors in long-term SHM of civil structures (Show >>)
Deep learning approach to structural performance prediction of tall buildings in seismic areas (Show >>)
Experimental Study of Temperature Effects on the Dynamic Response of Medium- and Low-Speed Maglev Trains (Show >>)
Mitigation of unmeasured environmental and operational variability in long-term bridge health monitoring by unsupervised statistical learning (Show >>)
Pavement Monitoring with a Wireless Sensor Network of MEMS Accelerometers (Show >>)
Structural Health-Monitoring Strategy Based on Adaptive Kalman Filtering (Show >>)
Journal Articles
A digital twin framework for civil engineering structures (Show >>)
Analysis of two-dimensional consolidation behavior of soils under cyclic loading considering exacerbated tunnel leakage (Show >>)
EKF–SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics (Show >>)
Fatigue-Induced Failure of Polysilicon MEMS: Nonlinear Reduced-Order Modeling and Geometry Optimization of On-Chip Testing Device (Show >>)
PINN-based approach to the consolidation analysis of visco-elastic soft soil around twin tunnels (Show >>)
Probabilistic Assessment of Global Damage Index for Steel Moment-Resisting Frames Based on Local Responses (Show >>)
System Identification via Unscented Kalman Filtering and Model Class Selection (Show >>)
Zigbee-Based Wireless Sensor Network of MEMS Accelerometers for Pavement Monitoring (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
A computational framework for predictive digital twins of civil engineering structures (Show >>)
A computational framework for predictive digital twins of civil engineering structures (Show >>)
A computational framework for predictive digital twins of civil structures using neural networks and probabilistic graphical models (Show >>)
Accounting for friction in the characterization of synthetic sports surfaces (Show >>)
Active truss metamaterials: modelling and tuning of band gaps (Show >>)
Digital Twins of Civil Structures Using Neural Networks and Probabilistic Graphical Models (Show >>)
Exploring structural sustainability of tall buildings subject to seismic loads (Show >>)
Piezo-actuated MEMS testing devices for materials characterization at the microscale (Show >>)
Patents
PHOTOVOLTAIC SYSTEM FOR AN AGRI VOLTAIC FARM, COMPRISING A PROTECTIVE COVER (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 >>)
Patents
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 >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
25/04/2025