Yashar (Saeed) Eftekhar Azam

Yashar (Saeed) Eftekhar Azam

University of New Hampshire

H-index: 21

North America-United States

About Yashar (Saeed) Eftekhar Azam

Yashar (Saeed) Eftekhar Azam, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at University of New Hampshire, specializes in the field of Structural Health Monitoring, Structural System Identification, Particle Filter, Kalman Filter.

His recent articles reflect a diverse array of research interests and contributions to the field:

SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic

Weakly supervised crack segmentation using crack attention networks on concrete structures

Minimum variance unbiased Bayesian smoothing for input and state estimation of systems without direct Feedthrough: Mitigating Ill-Posedness of online load identification

An output-only unbiased minimum variance state estimator for linear systems

System Identification via Unscented Kalman Filtering and Model Class Selection

BIONIB: Blockchain-based IoT using Novelty Index in Bridge Health Monitoring

Exploring the Potential of Transfer Learning Applications for Structural Damage Classification

Evaluating pod-based unsupervised damage identification using controlled damage propagation of out-of-service bridges

Yashar (Saeed) Eftekhar Azam Information

University

Position

Assistant Professor

Citations(all)

1766

Citations(since 2020)

1250

Cited By

1020

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

27

Email

University Profile Page

University of New Hampshire

Google Scholar

View Google Scholar Profile

Yashar (Saeed) Eftekhar Azam Skills & Research Interests

Structural Health Monitoring

Structural System Identification

Particle Filter

Kalman Filter

Top articles of Yashar (Saeed) Eftekhar Azam

Title

Journal

Author(s)

Publication Date

SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic

arXiv preprint arXiv:2402.14757

Divija Swetha Gadiraju

Saeed Eftekhar Azam

Deepak Khazanchi

2024/2/22

Weakly supervised crack segmentation using crack attention networks on concrete structures

Structural Health Monitoring

Anoop Mishra

Gopinath Gangisetti

Yashar Eftekhar Azam

Deepak Khazanchi

2024/2/17

Minimum variance unbiased Bayesian smoothing for input and state estimation of systems without direct Feedthrough: Mitigating Ill-Posedness of online load identification

Engineering Structures

Martin Masanes Didyk

Mohsen Ebrahimzadeh Hassanabadi

Mehrisadat Makki Alamdari

Saeed Eftekhar Azam

2024/1/1

An output-only unbiased minimum variance state estimator for linear systems

Mechanical Systems and Signal Processing

Martin Masanes Didyk

Mohsen Ebrahimzadeh Hassanabadi

Saeed Eftekhar Azam

2024/4/1

System Identification via Unscented Kalman Filtering and Model Class Selection

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Luca Rosafalco

Saeed Eftekhar Azam

Stefano Mariani

Alberto Corigliano

2024/3/1

BIONIB: Blockchain-based IoT using Novelty Index in Bridge Health Monitoring

arXiv preprint arXiv:2402.14902

Divija Swetha Gadiraju

Ryan McMaster

Saeed Eftekhar Azam

Deepak Khazanchi

2024/2/22

Exploring the Potential of Transfer Learning Applications for Structural Damage Classification

STRUCTURAL HEALTH MONITORING 2023

BURAK DURAN

SAEED EFTEKHAR AZAM

2023

Evaluating pod-based unsupervised damage identification using controlled damage propagation of out-of-service bridges

Engineering Structures

Samira Ardani

Emmanuel Akintunde

Daniel Linzell

Saeed Eftekhar Azam

Qusai Alomari

2023/7/1

Dynamic Bridge Load Rating Using Low-Cost Vibration Sensors

Samira Ardani

Saeed Eftekhar Azam

Daniel G Linzell

Ahmed Rageh

2023

A Supervised Deep Learning Method to Classify Structural Damage of a Bridge Deck Mock-Up

Burak Duran

Dominic Emory

Saeed Eftekhar Azam

Daniel G Linzell

2023/6/5

Novel Physics-Informed Artificial Neural Network Architectures for System and Input Identification of Structural Dynamics PDEs

Buildings

Sarvin Moradi

Burak Duran

Saeed Eftekhar Azam

Massood Mofid

2023/2/28

A linear Bayesian filter for input and state estimation of structural systems

Computer-Aided Civil and Infrastructure Engineering

Mohsen Ebrahimzadeh Hassanabadi

Zihao Liu

Saeed Eftekhar Azam

Daniel Dias-da-Costa

2023/2/2

Singular value decomposition and unsupervised machine learning for virtual strain sensing: Application to an operational railway bridge

Structures

Emmanuel Akintunde

Saeed Eftekhar Azam

Daniel G Linzell

2023/12/1

Bridge Health Monitoring Using Proper Orthogonal Decomposition and Transfer Learning

Applied Sciences

Samira Ardani

Saeed Eftekhar Azam

Daniel G Linzell

2023/2/2

Probabilistic bridge fatigue evaluation at virtual sensing locations using kernel density estimation

International Journal of Fatigue

Emmanuel Akintunde

Saeed Eftekhar Azam

Daniel G Linzell

2023/11/1

Experimental Validation and Numerical Investigation of Virtual Strain Sensing Methods for Steel Railway Bridges

Journal of Sound and Vibration

Saeed Eftekhar Azam

Martin Masanes Didyk

Daniel Linzell

Ahmed Rageh

2022/7/22

Application of proper orthogonal decomposition to bridge damage detection-field investigations

Samira Ardani

Emmanuel Akintunde

Daniel Linzell

Saeed Eftekhar Azam

2022/6/27

Model updating and parameter identification for developing digital twins for riveted steel railway bridges

Ahmad Rageh

Saeed Eftekhar Azam

Qusai Alomari

Daniel Linzell

Richard Wood

2022

Physics-Informed Neural Network Approach for Identification of Dynamic Systems

SARVIN MORADI

SAEED EFTEKHAR AZAM

MASSOOD MOFID

2021

Unscented Kalman filter empowered by Bayesian model evidence for system identification in structural dynamics

Computer Sciences & Mathematics Forum

Luca Rosafalco

Saeed Eftekhar Azam

Andrea Manzoni

Alberto Corigliano

Stefano Mariani

2021/9/25

See List of Professors in Yashar (Saeed) Eftekhar Azam University(University of New Hampshire)

Co-Authors

H-index: 45
Alberto Corigliano

Alberto Corigliano

Politecnico di Milano

H-index: 39
Andrew Smyth

Andrew Smyth

Columbia University in the City of New York

H-index: 36
Stefano Mariani

Stefano Mariani

Politecnico di Milano

H-index: 36
Assoc. Professor Mehrdad Arashpour

Assoc. Professor Mehrdad Arashpour

Monash University

H-index: 34
Amin Heidarpour

Amin Heidarpour

Monash University

H-index: 23
Daniel Linzell

Daniel Linzell

University of Nebraska-Lincoln

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