M.Sc. Mathias Artus

Research assistant

Marienstraße 13a, Room 204
99423 Weimar

Telephone: +49 (0) 3643 / 58-4963
Email: mathias.artus[at]uni-weimar.de

Office Hours: Wednesday 1:30 - 3:30 p.m.


Damage Information Modeling

The project aims to analyze current standards for inspection and maintenance and develop suitable information models for damage data, regarding multiple damage types.


Artus, Mathias (2021). Modeling Physical Damage Information at Concrete Bridges Considering Time Aspects in 32. Forum Bauinformatik 2021. 9.-10.09.2021. Darmstadt, Germany. p. 150-156.

Artus, Mathias; Alabassy, Mohamed; Koch Christian (2021). IFC based Framework for Generating, Modeling and Visualizing Spalling Defect Geometries. 28th International Workshop on Intelligent Computing in Engineering. 30.06. - 02.07.2021, Berlin, proccedings in print, best paper award

Artus, Mathias; Koch, Christian (2020). State of the art in damage information modeling for RC bridges – A literature review. Advanced Engineering Informatics 46.

Artus, Mathias; Koch, Christian (2020). Modeling Physical Damages Using the Industry Foundation Classes – A Software Evaluation. Proceedings of the 18th International Conference on Computing in Civil and Building Engineering.

Artus, Mathias; Koch, Christian (2020). Modeling Geometry and Semantics of Physical Damages using IFC. 27th International Workshop on Intelligent Computing in Engineering.

Kremp, Felix; Artus, Mathias (2019). Evaluation of Sensor-Based Registration Accuracy using Head Mounted Augmented Reality Devices. In: Ungureanu, L.-C..; Böger L.; Bindal-Gutsche C. (Ed.): Forum Bauinformatik 2019. Berlin: Blueprint, S. 225-232.

Artus, Mathias (2018). Konzept eines Digital Twins für Gebäude unter Verwendung von Smart Home Elementen. In: Steiner, M.; Theiler, M.; Mirboland M. (Ed.): Forum Bauinformatik 2018. Weimar: Blueprint, S. 121-128.


Digital ITD Twin

After installing several sensors and actors at the chair Intelligent Technical Design, the "Digital ITD Twin" teaching project is now starting.



Simulation Methods

This module provides knowledge about computer based simulation concepts to address practical challenges in engineering.


MATLAB introduction

This module provides students with basic knowledge of MATLAB.


OO Modeling and Programming

This module provides knowledge needed to develop and implement object-oriented software solutions for engineering problems.


Scientific Working in Computational Engineering

In this course practical skills for scientific working are teached. This includes general concepts for organization and structuring, validation and evaluation of theorems as well as documenting the work. The course is teached by the chair of Computing in Civil Engineering, in collaboration with us. Further information can be found here.