Research

Correcting Missingness in Passively-Generated Mobile Data with Multi-Task Gaussian Processes
Ekin Ugurel, Xiangyang Guan, Yanchao Wang, Shuai Huang, Ryan Wang, Cynthia Chen
Transportation Research Part C: Emerging Technologies. [pdf] [code]

Uncovering Physics-regularized Data Generation Processes for Individual Human Mobility: A Multi-task Gaussian Process Approach based on Multiple Kernel Learning
Ekin Ugurel, Shuai Huang, Cynthia Chen
In review.

When will you leave for work? Survival analysis-informed DNNs with collaborative filtering to predict precise departure times for home-to-work trips
Ekin Ugurel, Gaoang Wang
In review.

Event detection from novel data sources: Leveraging satellite imagery alongside GPS traces
Ekin Ugurel, Steffen Coenen, Minda Zhou Chen, Cynthia Chen [pdf][code]

Time-varying Transition Matrices with Multi-task Gaussian Processes
Ekin Ugurel [pdf]

Exploring biases in travel behavior patterns in big passively-generated mobile data from 11 U.S. cities
Yanchao Wang, Xiangyang Guan, Ekin Ugurel, Cynthia Chen, Shuai Huang, Qi “Ryan” Wang
In review.

COVID & Telecommuting Induced Changes in Individual Activity and Travel Patterns
Grace Jia, Kaitlyn Ng, Ekin Ugurel, Brian Lee, Ram Pendyala, Cynthia Chen
Preprint coming soon.

Understanding Transit Ridership Recovery Patterns with Two Perspectives: Rebounding from Rock Bottom or Proximity to pre-COVID Ridership
Arsalan Esmaili, Shakiba Naderian, Ekin Ugurel, Jeff Ban, Cynthia Chen
Preprint coming soon.

The Effects of Sparsity in Location-based Service Data on Derived Human Mobility Metrics
Xinhua Wu, Yanchao Wang, Ekin Ugurel, Shuai Huang, Cynthia Chen, Qi “Ryan” Wang
Preprint coming soon.