activity
20192026
most citedUniversal Hysteresis Identification Using Extended Preisach Neural Network

2 citations · 5 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects

Mehrdad Shafiei Dizaji, Devin Harris

Reliable characterization of structural defects requires methods capable of resolving both directly observable surface damage and damage that is not visible from the inspected surf…

cs.LG2026

Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

Mehrdad Shafiei Dizaji, Hoda Azari

The research explores the pioneering integration of Physics-Informed Neural Networks (PINNs) into the domain of Ground-Penetrating Radar (GPR) data prediction. This research presen…

cs.CE2026

Finite Element Model Updating-based Load Rating of Bridges with Incomplete As-Built Information

Mehrdad S. Dizaji, Devin K. Harris, Mohamad Alipour +3

Load rating is the engineering process of determining the safe load-carrying capacity of an existing bridge structure often through analysis of its load-bearing members and their c…

cs.CV2024★ 1 cited

Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning

Mehrdad Shafiei Dizaji

Digital Twins technology is revolutionizing decision-making in scientific research by integrating models and simulations with real-time data. Unlike traditional Structural Health M…

cs.NE2023

A Hybrid Training Algorithm for Continuum Deep Learning Neuro-Skin Neural Network

Mehrdad Shafiei Dizaji

In this brief paper, a learning algorithm is developed for Deep Learning NeuroSkin Neural Network to improve their learning properties. Neuroskin is a new type of neural network pr…

math.NA2021

Graph-Theoretical Based Algorithms for Structural Optimization

Farzad S. Dizaji, Mehrdad S. Dizaji

Five new algorithms were proposed in order to optimize well conditioning of structural matrices. Along with decreasing the size and duration of analyses, minimizing analytical erro…