Rate My Professor Vahid Alizadeh

Alizadeh's research centers on software engineering, artificial intelligence, and recommender systems, particularly empirical software engineering, software quality, refactoring and maintenance, search-based software engineering, AI-enabled systems, software analytics, AIOps, and MLOps. He has authored over 20 publications in premier venues, including "Enabling Decision and Objective Space Exploration for Interactive Multi-Objective Refactoring" (IEEE Transactions on Software Engineering, 2022), "How Does Refactoring Impact Security When Improving Quality? A Security-Aware Refactoring Approach" (IEEE Transactions on Software Engineering, 2022), and "Semi-automated Metamodel/Model Co-evolution: A Multi-level Interactive Approach" (Software and Systems Modeling, 2022). His work has accumulated over 500 citations, with an h-index of 14. Notable awards include the Excellence in Teaching Award from DePaul University (2025), ACM SIGSOFT Distinguished Paper Award at MODELS (2020), University of Michigan Invention of the Year (2018) for an interactive refactoring bot, and grants such as the AI in Biomedical Discovery & Healthcare Grant ($67,000, 2024) and NSF CISE Community Research Infrastructure Grant (2022).