Mahmoud Zidan

Mahmoud Zidan

About

I am a M.Sc. graduate in Computational Mechanics at the Technical University of Munich with a B.Sc. degree in Civil Engineering at Kuwait University. During my studies and part-time work at the university, I have developed knowledge and interest in software development, Finite Element simulations, Computational Fluid Analysis, and Engineering applications. Currently, I am looking for working full-time on interesting projects.

Education
  • MSc in Computational Mechanics, 2020

    Technical University of Munich

  • BSc in Civil Engineering, 2017

    Kuwait University

Skills

Python
LaTeX
Linux
C++
MATLAB
Git

Experience

 
 
 
 
 
Associate Professorship of Computational Mechanics
Research Project
05.2020 – 06.2021 Munich, Germany
Research project: Multi-fidelity robust design optimization using intrusive non-linear Model Order Reduction
 
 
 
 
 
Hydromechanics Chair — Technical University of Munich
Graduate Student Assistant
05.2019 – 08.2019 Munich, Germany
Co-tutoring for the Computational Fluid Dynamics Lab
 
 
 
 
 
Structural Analysis Chair — Technical University of Munich
Graduate Student Assistant
05.2018 – 03.2019 Munich, Germany
Development of Python tools with graphical user interfaces for the courses Theory of Plates and Non-Linear Finite Elements.
 
 
 
 
 
Combined Group Contracting Company
Construction Site Engineering Intern
07.2016 – 09.2016 Kuwait
Carried out quantity surveying, shop drawings, and design checks in between two construction sites, Volkswagen Showroom and NATO Regional Center.

Certificates

Kaggle
Pandas
Indexing, Selecting, Assigning, Functions, Maps, Grouping, Sorting, Data-types, Renaming, Combining
See certificate
Handling Missing Values, Scaling and Normalization, Parsing Dates, Encoding, Inconsistent Data Entry
See certificate
JOINs and UNIONs, Analytic Functions, Nested and Repeated Data, Writing Efficient Queries
See certificate
Manipulating Containers with the Docker Client, Building Custom Images Through Docker Server, CI/CD in AWS, Multi-Container Deployments to AWS, Kubernetes