Thomas Vogel
@tomvog
Thomas is currently stand-in professor for Empirical Software Engineering at Paderborn University, Germany (until October 2022). Previously, he was a postdoctoral researcher in the Software Engineering Group (Prof. Lars Grunske) at the Humboldt-Universität zu Berlin, Germany, after being a doctoral student in the System Analysis and Modeling Group (Prof. Holger Giese) at the Hasso Plattner Institute/ University of Potsdam, Germany, where he received his Ph.D. degree with summa cum laude. He graduated with a university diploma in Information Systems and with distinction from the University of Bamberg, Germany. His research interests are in the areas of (search-based) software engineering, model-driven engineering, self-adaptive & intelligent/autonomous systems, and automated quality assurance of software as well as the combination of these areas.
Contact
You can follow me on Twitter via @tomvog.
E-mail: thomas.vogel (at) uni-paderborn.de
E-mail: thomas.vogel (at) informatik.hu-berlin.de
Paderborn University
Department of Computer Science
Office: ZM2.A.02.09
Zukunftsmeile 2
33102 Paderborn
Humboldt-Universität zu Berlin
Department of Computer Science
Unter den Linden 6
10099 Berlin
Johann von Neumann-Haus
House IV, 4th floor, room IV.414
Rudower Chaussee 25
12489 Berlin
Things Happening
- Apr 2022 — The summer semester is starting and I will offer a lecture on Software Quality Assurance and two seminars, one on Learning, Optimization, and Assurances for Self-Adaptive Systems and one on Search-Based Software Engineering. See my teaching page for details.
- Mar 2022 — I joined the PC of the New Ideas and Emerging Results (NIER) track of the 37th International Conference on Automated Software Engineering (ASE 2022). Consider submitting your new ideas and emerging results on automated software engineering.
- Feb 2022 — I joined the PC of the 3rd International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2022). Consider submitting your research results on self-adaptive systems.
- Jan 2022 — Happy to receive a 2021 Best Reviewer Award of the Journal of Software and Systems Modeling (SoSyM). I am among the “Top 1% of SoSyM Reviewers” for 2021.
- Jan 2022 — Our article Vudenc: Vulnerability Detection with Deep Learning on a Natural Codebase for Python accepted at the Information and Software Technology journal is available online.
- Dec 2021 — Our article A Systematic Literature Review on Counterexample Explanation accepted at the Information and Software Technology journal is available online.
Things Happened
Communities
