- 👋 Hi, I’m Ekin Ugurel.
- 👀 I’m interested in mobile sensor data for human mobility modeling.
- 🌱 I’m currently learning about Gaussian Processes, kernel methods, and statistical modeling of spatiotemporal data.
- 💞️ Looking to collaborate? Reach out!
- 📫 You can email me at ugurel [at] uw [dot] edu
PhD Student in Transportation Engr @ the University of Washington
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University of Washington
- Seattle
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03:08
(UTC -07:00) - ekinugurel.github.io
Highlights
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physics-regularized-MTGP
physics-regularized-MTGP PublicIncludes codes for, "Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning"
Jupyter Notebook 2
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SatMobFusion
SatMobFusion PublicA novel real-time event-identification framework fusing satellite imagery with mobile sensor data
Jupyter Notebook 4
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EVCLOM
EVCLOM PublicA Python-based optimization model framework for minimizing daily charging load variation from electric vehicle charging events with respect to user-defined target charging loads.
Python
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cornellius-gp/gpytorch
cornellius-gp/gpytorch PublicA highly efficient implementation of Gaussian Processes in PyTorch
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