Sven Apel
Scholar

Sven Apel

Google Scholar ID: _4ssMloAAAAJ
Professor of Computer Science, Saarland University, Saarland Informatics Campus
Software EngineeringProgram ComprehensionAI4SESoftware AnalyticsEmpirical Methods
Citations & Impact
All-time
Citations
8,244
 
H-index
47
 
i10-index
156
 
Publications
20
 
Co-authors
183
list available
Resume (English only)
Academic Achievements
  • ERC Advanced Grant (€2.5M, 2022–2027)
  • ASE Fellow
  • ACM Distinguished Member for Outstanding Scientific Contributions to Computing
  • Hugo Junkers Award for Research and Innovation (State of Saxony-Anhalt)
  • Member of the Young Academy of Europe
  • Heisenberg Professorship (German Research Foundation)
  • Emmy-Noether Fellowship (German Research Foundation)
  • Best Doctoral Dissertation Award 2007 (University of Magdeburg & Karin-Witte Foundation)
  • Software Engineering Award 2007 (Ernst-Denert Foundation)
  • Outstanding Scientific Achievements Award 2006 (University of Magdeburg)
  • Most Influential Paper Awards at SPLC'19, ICPC'22, GPCE'23
  • ACM SIGSOFT Distinguished Paper Awards at ICSE'15, ICSE'21
  • Best Paper Awards at SPLC'11, Modularity'15, Academy of Management'18
  • Distinguished Reviewer Awards at ASE'18, ICSE'24, FSE'24
  • Led numerous funded projects including Brains On Code, CPEC, Congruence, Pervolution, ExaStencils, SafeSPL++, Pythia, FeatureOpt, SafeSPL
Background
  • Professor of Computer Science and Chair of Software Engineering at Saarland University
  • Director of the Saarbrücken Graduate School of Computer Science
  • Research vision: empowering software engineering practice to enter an era of intensive automation
  • Develops methods, tools, and theories for building and analyzing efficient, reliable, maintainable, and configurable software systems
  • Emphasizes the human factor and interdisciplinary research
  • Key research interests: software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, empirical and neurophysiological methods
  • Applies research to real-world systems, including collaborations with Siemens AG, Bosch Engineering, and Airbus Helicopters