معرفی
Danny Dig is an Associate Professor of Computer Science at the University of Colorado and an Adjunct Professor at the University of Illinois and Ohio State University. He leads the NSF IUCRC Center on Pervasive Personalized Intelligence for IoT Systems. His research focuses on software engineering, particularly automated program transformations and Gen-AI integration to enhance developer productivity and software quality. He earned his Ph.D. from UIUC, where his dissertation won the Best Dissertation Award, and completed a postdoc at MIT.
Education: Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (2007), Postdoc at MIT.
Research Interests: Interactive program transformations, LLM-powered refactoring, concurrency, mobile computing, and software evolution. His work has been recognized through numerous awards, including the NSF CAREER Award and Google Faculty Research Awards. He has released tools like RefactoringMiner and LambdaFicator, widely adopted in development environments like Eclipse and IntelliJ.
Awards include IoT Innovator of 2021 and Best Reviewer Award at ICSME'19. His grants total over $7.4M, with collaborations from NSF, Boeing, IBM, and others. He advises students and leads industry partnerships through the PPI Center. His courses, such as 'GenAI-powered Software Engineering,' emphasize practical impact and industry engagement.
