Annibale Panichella
Scholar

Annibale Panichella

Google Scholar ID: xPQ72u4AAAAJ
Associate Professor, Delft University of Technology
Software TestingSE4AITest GenerationSBSEFuzzing
Citations & Impact
All-time
Citations
5,020
 
H-index
38
 
i10-index
90
 
Publications
20
 
Co-authors
37
list available
Resume (English only)
Academic Achievements
  • Over 100 peer-reviewed publications in top-tier journals and conferences in software engineering and evolutionary computation
  • Most Influential Paper Award at SANER (2024)
  • Several Best Paper Awards at ICPC, SBFT, and SSBSE
  • Involved in multiple European Commission H2020 projects such as STAMP and COSMOS
  • Active member of program committees for prestigious international conferences like ICSE, ESEC/FSE, ASE, ISSTA, GECCO, and ICST, and reviewer for leading journals including TSE, TOSEM, TEVC, EMSE, and STVR
Research Experience
  • Scientific Developer, Fondazione Bruno Kessler - Security & Trust, January 2014 – December 2014, Trento, Italy
  • Post-doc, Delft University of Technology, January 2015 – September 2016, Delft, The Netherlands
  • Research Associate, Interdisciplinary Centre for Security, Reliability and Trust (SnT) - University of Luxembourg, October 2016 – February 2018, Luxembourg
  • Research Fellow, Interdisciplinary Centre for Security, Reliability and Trust (SnT) - University of Luxembourg, February 2018 – December 2020, Luxembourg
  • Assistant Professor, Delft University of Technology, March 2018 – December 2022, Delft, The Netherlands
  • Associate Professor, Delft University of Technology, January 2023 – Present, Delft, The Netherlands
Education
  • PhD in Software Engineering, 2014, University of Salerno
Background
  • I am an Associate Professor in the Software Engineering Research Group (SERG) at Delft University of Technology (TU Delft) in the Netherlands. I lead the Computation Intelligence for Software Engineering Lab (CISELab), where my research focuses on advancing the fields of software testing, search-based software engineering, software testing for AI, and empirical software engineering.
Miscellany
  • Research interests include: Computational Intelligence for Software Engineering, Test Case Generation and Fuzzing, Software Testing for AI, Validation of Generative AI, Security Testing, Regression Testing, Empirical Software Engineering, and Evolutionary Computation.