Site-Specific Energy Systems Laboratory Research Group
Salt Lake City, Utah, United States
Summary
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SeniorAowabin Rahman is a data scientist with a Ph.D. in Mechanical Engineering and nine years of experience applying deep learning and physics-based modeling to energy systems, currently working at Pacific Northwest National Laboratory. His work blends sequence-to-sequence RNNs for building energy forecasting and missing-data imputation with 1-D transient heat transfer models and experimental validation for thermal storage design. He has led ML-driven projects across building emissions prediction, thermo-acoustic experiments, and aerospace-relevant composite modeling, demonstrating a rare mix of hands-on lab work, COMSOL simulation, and production-ready ML. Based in Portland, OR, he’s comfortable moving models from research to interactive web tools and collaborative codebases, and has a track record of supervising student teams and contributing in multi-author software projects.
9 years of coding experience
Github Skills (1)
localized9
Programming languages (1)
Github contributions (5)
SSESLab/laf
Dec 2017 - Mar 2021
LAF - Localized AMY File Creator
Contributions:16 commits, 1 PR, 15 pushes in 3 years 3 months
creatorlocalizedamylaf
SSESLab/electricityandenvironment
Sep 2017 - May 2018
Contributions:6 pushes in 7 months
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