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Hans-Martin Heyn is a Senior Lecturer in Software Engineering at the University of Gothenburg. His research interests encompass system architecture, distributed systems, sensor networks, fault detection, and functional safety, as well as requirement engineering in the context of artificial intelligence (AI). Heyn employs Bayesian methods and decision theory to enhance understanding in these domains. He has authored several publications addressing challenges in machine learning, particularly toward the integration of causal analysis within industrial machine learning-based software. Heyn teaches a range of courses focused on data communication, project management in agile environments, and advanced software engineering. His work often emphasizes the intersection of AI, machine learning, and software engineering, providing insights into the development of safe and reliable automated systems. Through his involvement in various conferences and journals, he contributes to the ongoing dialogue in the fields of requirements engineering and AI development, ensuring that academic research remains relevant to practical applications in technology.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).