معرفی
Stephen John Warnett is a researcher affiliated with the Faculty of Computer Science, specializing in Software Architecture. His work focuses on architectural design decisions for machine learning systems, particularly MLOps and RLOps frameworks.
Research Interests: Primary areas include Machine Learning, System Architecture, and Reinforcement Learning. Key subtopics involve architectural design decisions, quality assessment, understandability, data integration, and deployment practices in cyber-physical systems.
Publications Trends: Recent work emphasizes model-driven metrics for MLOps architectures, understandability in machine learning systems, and decision-making support for training strategies in reinforcement learning.
Scientific Awards:
- Best Paper Award (2022)
