Koushik Sen

Koushik Sen is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on developing software tools and methodologies to enhance programmer productivity and software quality, with expertise in Software Engineering, Programming Languages, and Formal Methods.

Education:

• B.Tech from Indian Institute of Technology, Kanpur
• M.S. and Ph.D. in Computer Science from University of Illinois at Urbana-Champaign

Research Focus: Professor Sen pioneers automated testing techniques including concolic testing and DART (Directed Automated Random Testing). His work bridges formal methods with practical software development, emphasizing bug detection, program synthesis, and AI-driven software analysis tools. Recent innovations include machine learning approaches for code recommendation and fuzzing.

Publication Trends: His recent publications (2019-2023) demonstrate strong emphasis on fuzzing techniques, program synthesis, and AI/ML applications in software engineering. Notable domains include smart contract security, automated testing, and developer tooling, with frequent collaborations in top-tier conferences.

Awards and Honors:

• NSF CAREER Award (2008)
• Sloan Foundation Fellowship (2011)
• IFIP TC2 Manfred Paul Award (2010)
• Okawa Foundation Research Grant (2015)
• Multiple ACM SIGSOFT Distinguished Paper Awards
• UIUC Distinguished Alumni Educator Award (2014)

Leadership: Active program committee member for premier conferences (PLDI, ICSE, ISSTA) and keynote speaker. His research is supported by NSF, Okawa Foundation, and Sloan Foundation.