I am a PhD student at Carnegie Mellon University, where I previously earned my M.S. in Building Performance and Diagnostics as a Fulbright Scholar. Before CMU, I studied Information Technologies for the Built Environment at the Technical University of Munich. My research focuses on multimodal and spatial AI for understanding existing building stocks from sparse and partially observed data, with applications in urban-scale energy modeling, physics-based simulation, retrofit optimization, and grid impact analysis.
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Carnegie Mellon University
- Pittsburgh
- https://meltemsahinozkoc.github.io/
- in/meltemsahinozkoc
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