معرفی
Janine Strotherm is a researcher at Bielefeld University, affiliated with the Faculty of Engineering and the Machine Learning Group within the Center for Cognitive Interaction Technology (CITEC). Her office is located at CITEC 2-112, and she actively contributes to the EU Grant 'Water Futures' project focused on water distribution systems. She works within Bielefeld's strategic research area in the Socio-Technical World, which examines capabilities enabling agents like humans, robots, and AI to function in complex environments.
Dr. Strotherm's research bridges machine learning and hydraulic engineering, with particular expertise in physics-informed graph neural networks for water infrastructure. Her work addresses critical challenges in water distribution networks including leak detection, system monitoring, and infrastructure optimization. A significant portion of her recent research focuses on fairness-enhancing methods for AI systems applied to water networks, developing techniques that account for non-binary sensitive features to ensure equitable resource allocation and monitoring.
Analysis of her publication trends reveals a clear progression from foundational machine learning applications toward sophisticated hybrid approaches that integrate physical domain knowledge with neural architectures. Her work demonstrates growing attention to ethical considerations in AI deployment for critical infrastructure, with publications spanning theoretical analyses of hydraulic states to practical fairness-enhancing classification methods.
Within Bielefeld University's research ecosystem, Dr. Strotherm contributes to the Center for Cognitive Interaction Technology (CITEC), one of the university's central academic institutes that fosters interdisciplinary collaboration across faculties. Her work aligns with Bielefeld's strategic focus on transcending disciplinary boundaries to address complex societal challenges through innovative research approaches.
