Kevin Schneider

Dr. Kevin Schneider is a Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on software architecture, evolution, analysis, and visualization, with notable work in quantum computing applications and machine learning. He also explores collaborative software teams and domain-specific languages to enhance development processes.

Education:

• Ph.D., Computing and Information Science, Queen’s University (2000)
• Research Associate, Computing and Information Science, Queen’s University (1991–94)
• M.Sc., Computing and Information Science, Queen’s University (1990)
• B.Sc.(Hon), Computational Science, University of Saskatchewan (1980)

Research interests include software design principles, maintenance strategies, and the integration of AI/quantum computing into software engineering. He emphasizes reproducibility in scientific workflows and tools like VizSciFlow. His work often bridges theory and practice, addressing challenges in code clone stability, user feedback management, and healthcare-related machine learning frameworks.

Scientific Awards:

• Most Influential Paper at SCAM 2001 for his work on software engineering via source transformation.

Advising and grants: While no specific advisees are listed, his research involves large-scale projects such as the Nutrient App and automated polyp segmentation tools. He collaborates on grants related to quantum computing applications and cloud-based software systems.

Labs and teams: His work centers on collaborative scientific data analysis groups and developing tools for real-time groupware systems in complex workflows. He contributes to projects like CloneCognition and FSECAM, aiming to improve software design and maintenance through advanced analytics.