Secure Cloud Pipelines
Investigating continuous delivery architectures that embed security controls, software supply-chain assurance, and compliance evidence throughout the lifecycle.
Projects
Active programs that integrate methods from software engineering, cloud systems, artificial intelligence, and cybersecurity to address well-defined scientific and technical questions.
Investigating continuous delivery architectures that embed security controls, software supply-chain assurance, and compliance evidence throughout the lifecycle.
Studying how learning-based techniques can support code review, test generation, and early defect detection while preserving human oversight and evaluation rigor.
Developing and evaluating machine learning approaches for anomaly detection in cloud-native and edge environments under realistic operational constraints.