Tamer Al Radaideh

Tamer Al Radaideh is a Ph.D. student in Architecture and Design Research at Virginia Tech (VT) with a research area in computational design. A licensed architect from Jordan, he obtained his Bachelor's degree in Architecture in 2016 and his Master's degree in Architectural Engineering in 2019, both from the Jordan University of Science and Technology (JUST). Before joining VT, Tamer dedicated three years to lecturing in the Department of Architecture at JUST and gained practical experience as a design architect in Jordan and the UAE.

Beyond academia and professional practice, he has collaborated with NGOs in Jordan as an architectural consultant. Tamer's research interests lie at the intersection of Computational Design, focusing on the application of Machine Learning (ML), Energy Performance, and Lighting in architectural design. Tamer's research merges computational design with machine learning to refine architectural optimization within the design process. His focus on multi-objective optimization seeks a delicate balance between sustainability, energy efficiency, and user comfort in buildings. Through machine learning, he is developing predictive models that aim to forecast and enhance building performance with a high degree of precision. This approach not only challenges conventional design practices but also introduces a data-driven methodology to architecture, promising more adaptive and environmentally responsive designs.