Carolina Osorio
Carolina Osorio is Staff Research Scientist at Google Research, Associate Professor of Decision Sciences at HEC Montreal, where Osorio holds the SCALE AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics. Osorio's work develops simulation-based optimization techniques to inform the design and operations of urban mobility systems. Recognitions include a US National Science Foundation CAREER Award, an MIT CEE Maseeh Excellence in Teaching Award, an IBM Faculty Award, a European Association of Operational Research Societies (EURO) Doctoral Dissertation Award, and an invited speaker at the NAE (National Academy of Engineering) EU-US Frontiers of Engineering Symposium.
More information can be found at: carolinaosorio.net
Research Areas
Authored Publications
Sort By
Google
Improving simulation-based origin-destination demand calibration using sample segment counts data
Arwa Alanqary
Yechen Li
The 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII), Okinawa, Japan (2025) (to appear)
Scalable Learning of Segment-Level Traffic Congestion Functions
Shushman Choudhury
Aboudy Kreidieh
Alexandre Bayen
IEEE Intelligent Transportation Systems Conference (2024)
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
Samuel Griesemer
Defu Cao
Zijun Cui
Yan Liu
2024 Conference on Neural Information Processing Systems (2024)
Traffic simulations: multi-city calibration of metropolitan highway networks
Yechen Li
Damien Pierce
The 27th IEEE International Conference on Intelligent Transportation Systems (ITSC), Edmonton, Canada (2024)
On how traffic signals impact the fundamental diagrams of urban roads
Yechen Li
The 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022 (MFTS2022), Dresden, Germany
An Adversarial Variational Inference Approach for Travel Demand Calibration of Urban Traffic Simulators
Martin Mladenov
Proceedings of the 30th ACM SIGSPATIAL Intl. Conf. on Advances in Geographic Information Systems (SIGSPATIAL-22), Seattle, WA (2022) (to appear)
An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models
Yechen Li
Yi-fan Chen
Ziheng Lin
(2021) (to appear)
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City
Theophile Cabannes
Yechen Li
Marc Nunkesser
2021 (2021) (to appear)
