Talks

ISTTT 25 (Ann Arbor, MI, USA)
“Uncovering physics-regularized data generation processes for individual human mobility: A multi-task Gaussian process approach based on multiple kernel learning.”

INFORMS 2024 Annual Conference (Seattle, WA, USA)
“Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning”

Big Data Workshop - 2024 AMPO Planning Tools & Training Symposium (Albuquerque, NM, USA)
“MPO uses of and needs for big data” [slides]

Lecture - URBDP 532: Current Topics in Transportation Planning and Policy (Wi24) (Seattle, WA, USA)
“Travel behavior, today and tomorrow: The promises and pitfalls of emerging data for transportation planning applications” [slides]

Graduate Seminar - IND E 592 (Wi24) (Seattle, WA, USA)
“Uncovering physics-regularized data generation processes for individual human mobility: A multi-task Gaussian process approach based on multiple kernel learning” [slides]

APSIPA ASC 2023 (Taipei, Taiwan)
“Multi-task, Multi-kernel Learning for Location Based-Service (LBS) Data” [slides]

INFORMS 2023 Annual Conference (Phoenix, AZ, USA)
“A Physics-informed, Multi-task Gaussian Process with Multiple Kernel Learning to Uncover Mobile Data Generation Processes” [slides]

Transportation Research Board 2023 Annual Conference (Washington, DC, USA)
“Correcting Missingess in Passively-Generated Mobile Data with Multi-Task Gaussian Processes” [slides]