Mohammad Noori

Professor and ASME Fellow

California Polytechnic State University

United States

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Dr. Mohammad Noori is a Professor at California Polytechnic State University, USA. He is an ASME Fellow with research interests that encompass structural damage detection, finite element analysis, and the application of deep learning in modeling and damage identification for various engineering structures. His recent publications include studies on the influence of constraint conditions on structural responses and innovative methods for enhancing damage detection using hybrid deep learning models.

Articles (21)

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Collaborators (5)

Vasilis Sarhosis

Lecturer in Geotechnical Engineering

Newcastle University

UNITED KINGDOM

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Vasilis Sarhosis

Professor of Resilient Structures and Infrastructure

University of Leeds

UNITED KINGDOM

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Ehsan Noroozinejad Farsangi

University of Western Sydney

AUSTRALIA

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Vahidreza Gharehbaghi

University of Kansas

UNITED STATES

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Gabriele Milani

Full Professor

Politecnico di Torino

ITALY

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Mohammad Noori

Research Interests

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About

Articles (21)

Influence of Constraint Conditions on the In-plane Response of URM Walls: A Comprehensive Study using Finite Element Analysis and Design Code Provisions

Effects of River Shapes on Structural Damages to Buildings in Flood-Prone Regions

Symbolic deep learning-based method for modeling complex rate-independent hysteresis

Finite Element Analysis of the Bearing Component of Total Ankle Replacement Implants during the Stance Phase of the Gait Cycle

A Study on the Effects of Cementless Total Knee Arthroplasty Implants’ Surface Morphology via Finite Element Analysis

Using Biopolymers as Anti-Washout Admixtures under Water Concreting

Damage Detection in Structures by Using Imbalanced Classification Algorithms

Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen

A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms

The influence of model and measurement uncertainties on damage detection of experimental structures through recursive algorithms

Vortex-Induced Vibration Recognition for Long-Span Bridges Based on Transfer Component Analysis

Smart Detecting and Versatile Wearable Electrical Sensing Mediums for Healthcare

A Dynamic Analysis of Smart and Nanomaterials for New Approaches to Structural Control and Health Monitoring

Structural Health Monitoring of Composite Pipelines Utilizing Fiber Optic Sensors and an AI-Based Algorithm—A Comprehensive Numerical Study

Dynamic wavelet neural network model for damage features extraction and patterns recognition

A Review of the Recent Advances in Piezoelectric Materials, Energy Harvester Structures, and Their Applications in Analytical Chemistry

Applications of Sustainable Hybrid Energy Harvesting: A Review

Artificial-Intelligence-Based Methods for Structural Health Monitoring

An Extreme Learning Machine for the Simulation of Different Hysteretic Behaviors

A Novel Computer-Vision Approach Assisted by 2D-Wavelet Transform and Locality Sensitive Discriminant Analysis for Concrete Crack Detection

Collaborators (5)

Vasilis Sarhosis

Vasilis Sarhosis

Ehsan Noroozinejad Farsangi

Vahidreza Gharehbaghi

Gabriele Milani

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