Evangelos Katsanos

Technical University of Denmark

Denmark

Research Interests

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (14)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (11)

Luigi Caglio

Technical University of Denmark

DENMARK

View details

Bruna Nabuco

Technical University of Denmark

DENMARK

View details

Anders Brandt

University of Southern Denmark

DENMARK

View details

Erik Damgaard Christensen

Technical University of Denmark

DENMARK

View details

Henrik Stang

Technical University of Denmark

DENMARK

View details

Anastasios Sextos

University of Bristol

UNITED KINGDOM

View details

Jens Henrik Nielsen

Technical University of Denmark

DENMARK

View details

Sandro Amador

Technical University of Denmark

DENMARK

View details

Amirali Sadeqi

Technical University of Denmark

DENMARK

View details

Tobias Friis

Technical University of Denmark

DENMARK

View details

Rune Brincker

Technical University of Denmark

DENMARK

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Evangelos Katsanos

Research Interests

Contact this professor

Articles (14)

Joint input-state estimation of structures subjected to complex loads via augmented Kalman Filter with physics informed latent force models

Application of fixed-lag Kalman smoother for nonlinear state estimation

Comparative assessment of stabilizing techniques for joint input-state estimation via Augmented Kalman Filter

Generation of spectrum compatible ground motions considering duration

Nonlinear dynamic analysis and damage detection of a mass-slider system with stick–slip vibration

FE-aided Kalman Filter for nonlinear state estimation with unknown input

Damage accumulation in point supported glass panels subjected to earthquake excitations via a simplified stepwise approach

Decoupled Fourier Amplitude spectrum to identify the inelastic dynamic characteristics of structures under earthquake loading

Prediction of Cumulative Absolute Velocity Based on Refined Second-order Deep Neural Network

Data‐driven virtual sensing and dynamic strain estimation for fatigue analysis of offshore wind turbine using principal component analysis

Conditional linear approximation of nonlinear systems using Operational Modal Analysis

Prediction of Ground-Motion Parameters for the NGA-West2 Database Using Refined Second-Order Deep Neural Networks

Best linear approximation of nonlinear and nonstationary systems using Operational Modal Analysis

Comparing Measured Responses of an Offshore Structure with Operational Modal Analysis assisted Classical Model Approach

Collaborators (11)

Luigi Caglio

Bruna Nabuco

Anders Brandt

Erik Damgaard Christensen

Henrik Stang

Anastasios Sextos

Jens Henrik Nielsen

Sandro Amador

Amirali Sadeqi

Tobias Friis

Rune Brincker

Make your next move.