Hossein Safar YousefifardIran University of Science and Technology · School of Civil Engineering
Hossein Safar Yousefifard
M.Sc. of Earthquake Engineering
Structural Health Monitoring Researcher
About
3
Publications
2,575
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Introduction
Hossein Safar Yousefifard earned his B.Sc. in Civil Engineering from QIAU in 2018. Subsequently, he completed his M.Sc. in Earthquake Engineering at Iran University of Science and Technology in 2022. His academic pursuits have centered on Structural Health Monitoring (SHM), Damage Detection and Artificial Intelligence (AI).
Education
September 2018 - November 2022
September 2014 - January 2018
Publications
Publications (3)
Over the past decade, the growing importance of machine learning-based structural health monitoring (SHM) for early-stage damage detection has become evident. Time series forecasting, using deep learning, has emerged as a key focus, significantly contributing to improving damage detection, localization, and quantification processes. Researchers in...
It has been attended to instruct how to design and construct two types of soil excavation stability methods named 'Truss Retaining Structure' and 'Cross-lot Bracing' during the different seasons of this book.
Softwares which have been used in this book are: SAP2000 – PLAXIS - SLOPE/W – ALLPILE - LPILE
Seasons are :
1- Fundamental concepts of excav...
This is a 2 volume set of books for structural designers, M.Sc. and PhD students of Structural and Earthquake Engineering. It has been attended to instruct new and advanced abilities of this software to readers whom may not found their problems in any book or website. Some of the units of this book can not be found in any resources even in CSI webs...
Questions
Questions (2)
Dear Researcher,
I hope this message finds you well. My professor and I are looking for a skilled and advanced programmer proficient in Python and MATLAB to join our research group. Our focus is on publishing high-quality, Q1 papers in the field of Artificial Intelligence-based Structural Health Monitoring in Civil Engineering.
The ideal candidate should have expertise in:
- Deep Learning and Machine Learning
- Signal and Image Processing
- Optimization Algorithms
- Coding and Programming with Python/MATLAB
If you are passionate about research, enjoy publishing, and have sufficient time to dedicate to our projects, we would be delighted to invite you to join us.
Please send your CV to hosein_saffaryosefi@alumni.iust.ac.ir .
Best regards,
Hossein Safar Yousefifard
School of Civil Engineering
Iran University of Science and Technology
