Andreas Seitz

Andreas Seitz is a Research Assistant and Instructor at the Technische Universität München (TUM), where he completed his PhD in Computer Science in 2019. His doctoral research focused on fog computing architectures, culminating in his dissertation "An Architectural Style for Fog Computing: Application and Formalization." Seitz's expertise spans fog and edge computing, software architecture, patterns in software engineering, and innovative approaches to software engineering education. At TUM, he has been responsible for teaching large-scale courses, including the "Patterns in Software Engineering" lecture with over 400 students annually. Seitz has made significant contributions to educational technology, co-authoring papers on interactive learning methods and chaordic learning approaches in software engineering education. His research has been published in prestigious conferences such as ICSE, EuroPLop, and HICSS. Beyond academia, Seitz has collaborated on industry-oriented projects, including work on decentralized applications for supply chain networks in the automotive industry. He continues to contribute to the field through his involvement in various research projects and educational initiatives at TUM's Chair for Applied Software Engineering.