Nadine von Frankenberg

Nadine von Frankenberg is a Teaching Assistant Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. She holds a PhD from the Technical University of Munich, Germany. Her research focuses on ubiquitous computing, smart buildings, indoor environmental quality (IEQ), human-in-the-loop control systems, digital health, and educational technology. She has contributed to projects like LATEST (a machine learning-based thermal control system) and OccuTherm (occupant thermal comfort inference using body shape data). Her work bridges computational methods with real-world applications in both technical and educational domains.

Her research interests include developing human-centric smart building systems that address thermal comfort conflicts in shared spaces, leveraging machine learning for stress prediction in extreme environments, and advancing interactive learning methodologies in software engineering education. Notable contributions include the design of active learning strategies for large classes and tools like Stager for automated programming exercise assessment.

Her publications span ACM conferences such as BuildSys, CHI, and ICSE, reflecting her interdisciplinary approach combining computing with environmental and educational challenges. Though no specific awards are listed, her work demonstrates significant impact in both technical and pedagogical innovation. She advises no listed students but has collaborated on multiple research projects with graduate and undergraduate teams.