Abstract
Join our systems faculty as they present an overview of their research.
Speaker Bios
Daniel Kammen is a world-renowned energy scientist who is an expert in renewable energy, climate policy, and sustainable development. His research combines advanced modeling of energy systems with practical implementation. His work also explores the social and economic factors that influence the adoption of clean energy technologies and their impact on communities worldwide. He has decades of experience developing scalable, equitable energy solutions, and designing policy frameworks that support sustainable development.
Magdalena Klemun’s research explores how energy technologies and systems change as a function of investments in technological innovation, with a particular interest in understanding relationships between technology design and performance evolution. Her research aims to enable more targeted climate innovation efforts, improve the availability of explanatory information about technology trends to enhance road mapping, engineering design, and policy development, and advance theories of technological change.
Hao (Frank) Yang’s research centers on developing trustworthy machine learning and data science methods to enhance the equity, safety, and sustainability of urban systems, with a particular focus on human mobility, transportation, and public health. His work includes creating innovative sensors, ethical machine-learning methods, and human-machine cooperative traffic systems.
Jan Drgona specializes in scientific machine learning (SciML), differentiable programming, and advanced control for dynamical systems. His research uses machine learning and optimization to improve real-world applications in areas like building energy management and industrial process control. He develops computational frameworks and open-source tools that enable efficient learning and optimization in physics-informed and constrained environments.