Rafi Almhana

Rafi Almhana is an Assistant Clinical Professor in the Masters Program in Computer Science at the University of Chicago. He holds a B.S. in computer science and an M.S. in software engineering from the University of Michigan, followed by a Ph.D. in information systems. His research focuses on applying intelligent search and machine learning to software engineering challenges such as bug localization, triage, prioritization, and maintenance. He has collaborated with industry partners like eBay and Ford to validate his work.

Education:

• B.S. in Computer Science, University of Michigan
• M.S. in Software Engineering, University of Michigan
• Ph.D. in Information Systems, University of Michigan

Research Interests: Rafi’s work spans bug management, refactoring, software evolution, AI-driven software engineering solutions, mining software repositories, and quality assurance. His methodologies combine machine learning with search-based approaches to enhance software development processes.

Publications: His recent work emphasizes automated bug management systems and dependency analysis in bug reports, reflecting a trend toward leveraging AI for practical software engineering challenges. These studies aim to improve developer productivity and software reliability through data-driven techniques.

Teaching & Industry Experience: Rafi has taught STEM-focused courses in software engineering and computer science. His industry background includes roles as a software architect and manager, emphasizing business-process integration and technological solution design.