Danial Mohammadzadeh S.
Department of Civil Engineering, Faculty Engineering Ferdowsi University · Islamic Azad university Branch of Mashhad, Technical and vocational university of Khorasan Razavi Province (Montazei Technical University of Mashhad) , Iran, Eqbal Institute of Higher Education Lahoori.
Research Interests
Geotechnical Engineering, Artificial Intelligence/Optimization, Genetic Programming, Neural Network, Soft Computing
Biography
Co-Supervisore in the dissertations of a number of graduate students of Universities of Mashhad and an Associate member of ASCE. In addition, he is member of the Editorial board 2 journals, Regular Reviewer of 5 Journals, 15 International conferences and Speaker Invitation, for 6 International Conferences (Canada, Rome and etc). He was Mayor Advisor in Mashhadd. He has received a number of award certificates for researching, patent and research project and also he is Supreme Consultant Action of Khorasan Razavi Inventor Association and he is Director of Research and Elite of Khorasan Construction Engineering Organization and Head of Geotechnical unit of Khorasan Razavi Construction Engineering Organizations (2018- Present) D.Mohammadzadeh.sh@gmail.com Danial.Mohammadzadehshadmehri@mail.um.ac.ir d.mohammadzadeh.sh@mshdiau.ac.ir https://researchid.co/rid17050 http://dce.mshdiau.ac.ir/aza/56-asatid-madov.html
Education
Danial Mohammadzadeh S. is currently Lecture. He Received Degree in civil engineering in field of Geotechnical Engineering from Ferdowsi university of Mashhad and has 8 years of experience and training in building construction, Geotechnical Engineering, and environmental analyses projects. He has authored over 60 publications in archival journals, and conference proceedings, 11 Patent, 11 Research Project and 3 Books. He is a Lecturer in Ferdowsi University of Mashhad in Iran, Azad university of Mashhad, Technical and vocational university of Khorasan Razavi Province (Montazei Technical Univer...
Recent Google Scholar Publications
- Strength and Environmental Evaluation of Replacing Rubber Powder And Crumb in Conventional and Self-compacting Concrete
- AI-Powered Models for California Bearing Ratio Estimation: A Comparison of GEP and Ridge Regression
- Evaluating the Predictive Capability of Genetic Expression Programming for Pressuremeter Modulus Estimation
- Prediction of the wetting-induced compression of collapsible soils using ensemble machine learning
- Exploring Artificial Intelligence Applications in Forecasting Self-Compacting Concrete Characteristics: A Comprehensive Analysis (2020–2025)
Research Outputs
Alavi A.H., Matin Nazar A., Mohammadzadeh D., “Soil Sampler Electromagnetic Method”, Office of Companies Registration and Industrial Property, Tehran, Iran, 2014, Reg.
Links
- ORCID https://orcid.org/0000-0002-8135-5780
- Google Scholar https://scholar.google.com/citations?user=yXij81gAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None
- Personal Weblink https://www.researchgate.net/profile/Danial_Mohammadzadeh_S