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seyed soroush pakzad

Soroush Pakzad has an M.Sc. degree in Structural Engineering from Ferdowsi University of Mashhad (Iran) in 2022 and is seeking a relevant Ph.D. position. He is a researcher in the field of artificial intelligence and studies the mechanical properties of reinforced concrete using machine learning techniques. He is also interested in the investigation of structural health monitoring (SHM) using machine learning algorithms. research interest: • Structural Health Monitoring • Machine Learning • Deep Learning • Python Programming • Concrete Technology
Living in : Iran
Gender : MaleRace : East Asian
Academic Profile
Posts

Contact Information

-Email
soroushpakzadSkype ID
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seyedsoroushpakzadApplyChance Link

Educations

Ferdowsi University of Mashhad logo
Structural EngineeringMaster'sFerdowsi University of Mashhad2023-01-31 Iran
Supervisor's name :prof. Ghalehnovi
Title :
prediction the mechanical properties of steel fiber-reinforced concrete using machine learning algorithms
Sadjad Institute of Higher Education Mashhad logo
Civil EngineeringBachelor'sSadjad Institute of Higher Education Mashhad2019-08-18 Iran
Title :
civil engineering

Work Experiences

Supervisor civil eigineer
at Rah & Gostaresh Abniyeh
I am currently working in this role
teacher assistant
at Department of Civil Engin
Start : 31-Dec-2022
End : 30-May-2023
Teaching assistant
at ferdowsi university (FUM)
Start : 29-Jun-2022
End : 30-Dec-2023

English Scores

IELTS12-Nov-2023
6.5/9Total
Reading :
6.5/9
Speaking :
6/9
Listening :
6.5/9
Writing :
7/9

Conferences

Your Presentation Title :
13th National Congress on Civil Engineering - Iran · May 10, 2022
Conference Name :13th National Congress on Civi
Iran
2022
Your Presentation Title :
Replacement of industrial steel fibers with recycled steel fibers in fiber concrete mixture
Conference Name :13th National Congress on Civi
Iran
2022
Your Presentation Title :
Replacement of industrial steel fibers with recycled steel fibers in fiber concrete mixture
Conference Name :Replacement of industrial stee
Iran
2022
Your Presentation Title :
Prediction of Chlorophyll-a Concentration using Machine Learning Algorithms
Conference Name :2nd National Conference on Civ
Iran
2022

Journal Publications

Publication Title :
Comparison of various machine learning algorithms used for compressive strength prediction of steel fber‑reinforced concreteFirst author
Journal :
Scientific Reports
Link :
Publication Title :
Recycled steel fber for fber reinforced concrete production: fresh and hardened properties, cost, and ecological assessmentsThird author
Journal :
International Journal of Building Pathology and Adaptation
Link :
Publication Title :
A comprehensive comparison of various machine learning algorithms used for predicting the splitting tensile strength of steel fiber-reinforced concreteFirst author
Journal :
Case Studies in Construction Materials
Link :

Research Keywords

Machine Learning
deep learning
structural health monitoring
concrete technology
python programming

Awards

2nd National Co2nd National Co2013-02-11

References

prog. mansour Ghalenovi
ghalehnovi@um.ac.ir
dr. amirreza masoodi
ar.masoodi@um.ac.ir