Deok-Oh Woo is an assistant professor at the Lawrence Technological University. He got his Ph.D. in Architecture at the University of Michigan; Bachelor of Architecture and Master of Science, both from Yonsei University (Republic of Korea). He has been trained as a designer and building physicist.
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His work, broadly speaking, has focused on performance-based building design and building automation systems. From projects that explore ways to integrate energy-efficient passive strategies into architectural design to involvement with advanced building automation system development projects, his career to date has led him to have a holistic viewpoint between architectural design and building systems integration.
Deok-Oh’s recent research interests are in the areas of building automation, specifically in Model Predictive Control (MPC) algorithm development. In his dissertation project, he developed an MPC-based surface condensation prevention framework that permits extended use of the surface radiant cooling system even in warm and humid climate regions. The proposed MPC framework will thus achieve cooling energy savings by extending the operable periods for the surface radiant cooling system, which is more energy-efficient than a conventional ventilation cooling system.