Christoph Csallner

Christoph Csallner is a Professor in the Computer Science and Engineering Department at the University of Texas at Arlington (UTA), where he leads research in software engineering, program analysis, and mobile software development. Prior to joining UTA, he worked at Google and Microsoft Research. He directs the SERC lab (Software Engineering Research Center) and has established himself as a leading researcher in automated bug finding, reverse engineering, and Simulink analysis.

• University of Texas at Arlington, Professor, Computer Science and Engineering Department
• SERC Lab Director
• Former researcher at Google and Microsoft Research

Dr. Csallner earned his Diplom-Informatiker degree from Universität Stuttgart, Germany, and both his M.S. and Ph.D. in Computer Science from Georgia Tech. His educational background in both European and American institutions has informed his interdisciplinary research approach that bridges theoretical foundations with practical software engineering challenges.

Dr. Csallner's research spans multiple areas of software engineering with particular expertise in program analysis, automated bug finding, and mobile software engineering. His work on reverse engineering mobile application user interfaces with REMAUI has been particularly influential in the field. His recent research focuses on Simulink analysis with projects like SLNET, ScoutSL, and EvoSL, which have created foundational datasets and tools for the model-based development community. His work on PSDoodle and D2S2 has advanced mobile app screen search through innovative sketch-based interfaces. His research consistently bridges theoretical program analysis with practical applications for real-world software development challenges.

Dr. Csallner's publications demonstrate a consistent pattern of innovation in software testing, analysis, and reverse engineering. His recent work shows a strong focus on mobile application analysis, Simulink model processing, and the application of machine learning techniques to traditional software engineering problems. He has successfully built bridges between formal methods and practical software development tools.

• Best Paper Award - IEEE ISSRE 2010
• ACM SIGSOFT Distinguished Paper Awards - ISSTA 2006, 2012
• Best Paper Award - PPREW 2014
• Best Paper Award - ASE 2007
• ACM SIGSOFT Distinguished Paper Award - ASE 2015
• Distinguished Referee Award - ASE 2019
• Distinguished Reviewer Award - TOSEM 2011-2012

Dr. Csallner has successfully advised numerous Ph.D. and Master's students who have gone on to prominent positions at companies including Meta, Google DeepMind, BNSF Railway, Bloomberg, and Salesforce. His research has been supported by significant funding from the National Science Foundation, MathWorks, the Alzheimer's Association, and the Texas National Security Network. His work on fake news detection received media coverage from major outlets including the Dallas Morning News, NBC DFW, and WBAP/KLIF.

Dr. Csallner directs the Software Engineering Research Center (SERC) lab at UTA, where his team develops innovative tools for software analysis and testing. Notable projects include JCrasher, Check 'n' Crash, DSD-Crasher, Pex/DySy, Dsc, and REMAUI/Pixel to App. His recent work focuses on PSDoodle, TreeVada, ScoutSL, and EvoSL, demonstrating his lab's continued innovation in software engineering research. The SERC lab maintains strong industry connections, particularly with MathWorks, and has produced numerous open-source tools that have influenced both research and practice in software engineering.