The main research interest of Alexander Schieweck is Low-Code and Formal Methods for Software Verification as part of the Software Engineering process. He is especially interested in studying how those techniques can affect a wider and maybe non-technical community. Therefore, he applies those principles in the areas of Industry 4.0 and Digital Twins, Digital Humanity, Health Care, and more. For this he is interacting in a very interdisciplinary way with other researchers and partners from Lero and other institutions.

Alexander Schieweck is a PhD student in Prof. Tiziana Magaria’s team at the Computer Science & Information Systems department at the University of Limerick. He has bachelor and master degree in Computer Science form the TU Dortmund University, Germany. There he also had first research experience as a student researcher in the group of Prof. Bernhard Steffen, before Alexander joined Lero in 2018.

Publications

2022

Breathnach, Ciara, Khan, Rafflesia, Margaria, Tiziana, Murphy, Rachel, Schieweck, Alexander. 2022. Evolution of the Historian Data Entry Application: Supporting Transcribathons in the Digital Humanities through MDD. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). doi: 10.1109/COMPSAC54236.2022.00033.
Breathnach, Ciara, Clancy, Stuart, Doherty, Adam J., Margaria, Tiziana, Murphy, Rachel A., Schieweck, Alexander. 2022. CensusIRL: Historical census data preparation with MDD support. In: 2022 IEEE International Conference on Big Data (Big Data). doi: 10.1109/BigData55660.2022.10021106.
Margaria, Tiziana, Schieweck, Alexander. 2022. Active Behavior Mining for Digital Twins Extraction. IT Professional, 24, 74-80. doi: 10.1109/MITP.2022.3193044.