Ing. Tarik Sahin

Main research focus: - Scientific Machine Learning and Deep Learning techniques for complex engineering problems. - Hybrid Digital Twins: from sensors to data-enhanced fast-to-evaluate models. - Combination of Simulation and data-driven methods - Physics-Informed Neural networks

- Teaching Data Science with Python in an online platform - Data import, cleaning, management, manipulation, and visualizations links for the courses: https://www.udemy.com/course/python-take-off-with-data-science/ https://www.udemy.com/course/python-ile-veri-bilimi-sifirdan-basla/

- Content preparation including topics Artificial Intelligence, Machine Learning, Deep Learning and Data Science - Publishing articles for informative purposes

- Open-source software development and implementation of optimisation algorithm for smoothing (Laplacian Smoothing) - Implementation of local mesh refinement and automatization process for constraints

- Data analysis of the beam fatigue test results - Design, static/fatigue/crack analysis of complex steel structures

- Software development with numerical methods for FEM simulations - Analysis of hourglass instability modes with shear-locking phenomena due to bending moments

- Automatization process of Composite materials for delamination and optimisation via Excel Macro - Investigation of Ultra High Temperature Composites (UHTCs) and general composite characteristics

- Following-up and reporting of the production process of rotor blades of GOKBEY helicopter, - Laying of composite layers,laser cut of the blade skins and trimming pro

Calculation of stress concentrations around holes of Aluminium plates{Test setup of Resin Transfer Mold (RTM) process of composite structure