Saeed Golzar
Geotechnical Engineer
Research Assistant, Amirkabir University (Tehran Polytechnic)
Summary
Driven geotechnical engineering graduate and research assistant at Amirkabir University (Tehran Polytechnic). Specialized in applying data-driven methods to complex geotechnical problems. Passionate about integrating AI and machine learning into pile design and sustainable foundation solutions. Actively pursuing PhD opportunities; strong collaborator and continuous learner focused on pushing engineering practice boundaries.
Education
Master of Science (MSc) — Geotechnical & Geoenvironmental Engineering
Amirkabir University of Technology (Tehran Polytechnic)
Tehran, Iran
Bachelor of Engineering (BE) — Civil Engineering
Isfahan University of Technology
Isfahan, Iran
Top Skills
Core Expertise
- Soil–Structure Interaction
- Geotechnical Engineering
- Civil Engineering
- Data-Driven Methods
Research Areas
- Constitutive Modeling
- Interface Behavior
- Pile Design
- Foundation Solutions
Technical Skills
- Python Programming
- Machine Learning
- AI Applications
- Data Analysis
Languages
- Persian (Native)
- English (Professional)
Experience
Research Assistant
Amirkabir University of Technology (Tehran Polytechnic)
Tehran, Iran
Research and development in geotechnical engineering with emphasis on data-driven approaches and soil-structure interaction. Contributed to research projects and publications related to advanced constitutive modeling and interface behavior.
Certifications
Python Data Structures
Coursera
Issued May 2022 • Credential ID: AXVQNSXFTSQQ
Programming for Everybody (Getting Started with Python)
Coursera
Issued Feb 2022 • Credential ID: 87KUGVSK7CE8
Publications
An Enhanced Critical State Model for Sand-Structure Interface Considering Relative Density
10th European Conference on Numerical Methods in Geotechnical Engineering, Imperial College London, United Kingdom • June 27, 2023