- 👋 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 Candidate in Transportation Engineering @ the University of Washington
-
University of Washington
- Seattle
-
05:22
- 7h behind - ekinugurel.github.io
Highlights
- Pro
Pinned Loading
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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 3
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SatMobFusion
SatMobFusion PublicA novel real-time event-identification framework fusing satellite imagery with mobile sensor data
Jupyter Notebook 5
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cornellius-gp/gpytorch
cornellius-gp/gpytorch PublicA highly efficient implementation of Gaussian Processes in PyTorch
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crowdflow-fairness
crowdflow-fairness PublicForked from DSSG24-CF-Fairness/crowdflow-fairness
Python
109 contributions in the last year
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Activity overview
Contributed to
ekinugurel/C2SMARTER_Mobility_Workshop,
ekinugurel/physics-regularized-MTGP,
ekinugurel/cet512_data_mining_and_scraping
and 5 other
repositories
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Contribution activity
April 2025
ekinugurel has no activity
yet for this period.