Vahid Alizadeh

Vahid Alizadeh is an Assistant Professor in the College of Computing and Digital Media (CDM) at DePaul University in Chicago, USA, where he has been serving since 2020. His academic career focuses on bridging the gap between software quality research and industrial practice through empirical studies and intelligent tool development.

Education:

• Ph.D. in Computer Science, University of Michigan (2015-2020)
• M.Sc. in Electrical Engineering, University of Tehran (2011-2013)
• B.Sc. in Electrical Engineering, Iran University of Science and Technology (2006-2011)

Research Interests: Dr. Alizadeh's research spans empirical software engineering, software quality, refactoring & maintenance, intelligent software engineering, and AI-enabled systems. His work combines rigorous empirical methods with practical tool development to address real-world software engineering challenges. He has particular expertise in developing intelligent refactoring technologies that are currently deployed by organizations impacting thousands of programmers worldwide.

Research Trends: His publication record shows a consistent focus on applying AI and machine learning techniques to software engineering problems, particularly in the areas of refactoring and quality assurance. Recent work demonstrates increasing integration of AI/ML approaches with traditional software engineering practices, reflecting the broader trend toward AI4SE (AI for Software Engineering).

Awards & Recognition:

• Excellence in Teaching Award from DePaul University (2025)
• $67,000 DePaul-RFUMS Grant for AI-Powered Community Pharmacy Research (2024)
• ACM SIGSOFT Distinguished Paper Award at MODELS Conference (2020)
• Distinguished University of Michigan-Dearborn Honors Scholar (2020)
• Outstanding Graduate Research Assistant Award (2018/2019)

Professional Activities: Dr. Alizadeh has served in various capacities at major software engineering conferences including ASE 2022 as Session Chair and Virtualization Co-Chair, and MODELS 2025 as Web Co-Chair. His work has resulted in one patent and multiple invention licenses through the University of Michigan Tech Transfer Office. He actively mentors graduate students interested in empirical software engineering, software quality, and intelligent refactoring technologies.