Emma Frejinger

Mila > About Mila > Team > Emma Frejinger
Associate Academic Member
Emma Frejinger
Associate Professor, Associate Professor, Université de Montréal
Emma Frejinger

Emma Frejinger is Associate Professor at the Department of Computer Science and Operations Research at Université de Montréal. She is the holder of the Canada Research Chair in Demand Forecasting and Optimization of Transport Systems, and the holder of the CN Chair in Optimization of Railway Operations. She has a Ph.D. in mathematics from École Polytechnique Fédérale de Lausanne, Switzerland. Her areas of expertise include both demand forecasting and optimization of transportation networks. Her research is mostly focused on developing new methodologies combining techniques from operations research and machine learning to tackle large-scale real-world problems. Her current major projects are related to the optimization of railway operations. Her students and herself have won several international awards, including the prestigious TSL Dissertation Prize bestowed by the INFORMS Transport Science and Logistics Society. She has realized numerous projects in collaboration with public and private actors. She is a member of CIRRELT, she works part-time as a scientific advisor for IVADO Labs and she is a founding fellow of AI Sweden.

Publications

2021-03

Integrated inbound train split and load planning in an intermodal railway terminal
Bruno P. Bruck, Jean-François Cordeau and Emma Frejinger
Transportation Research Part B-methodological
(2021-03-01)
www.sciencedirect.com

2021-02

A Strategic Markovian Traffic Equilibrium Model for Capacitated Networks
Maëlle Zimmermann, Emma Frejinger and Patrice Marcotte
Transportation Science
(2021-02-17)
pubsonline.informs.org
The Locomotive Assignment Problem with Distributed Power at the Canadian National Railway Company
Camilo Ortiz-Astorquiza, Jean-François Cordeau and Emma Frejinger
Transportation Science
(2021-02-15)
pubsonline.informs.org

2021-01

Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application
Greta Laage, Emma Frejinger, William L. Hamilton, Andrea Lodi and Guillaume Rabusseau
(venue unknown)
(2021-01-13)
arxiv.org

2020-12

Data-driven optimization model customization
Mike Hewitt and Emma Frejinger
European Journal of Operational Research
(2020-12-01)
www.sciencedirect.com

2020-06

A tutorial on recursive models for analyzing and predicting path choice behavior
Maëlle Zimmermann and Emma Frejinger
EURO Journal on Transportation and Logistics
(2020-06-01)
www.sciencedirect.com[Also on arXiv preprint arXiv:1905.00883 (2019-05-02)]

2020-05

Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models.
Xinlian Yu, Tien Mai, Jing Ding-Mastera, Song Gao and Emma Frejinger
arxiv:eess.SY
(2020-05-08)
dblp.uni-trier.dePDF
Route choice behaviour and travel information in a congested network: Static and dynamic recursive models
Giselle de Moraes Ramos, Tien Mai, Winnie Daamen, Emma Frejinger and S.P. Hoogendoorn
Transportation Research Part C-emerging Technologies
(2020-05-01)
www.sciencedirect.com

2020-01

Block planning for intermodal rail: Methodology and case study
Gianluca Morganti, Teodor Gabriel Crainic, Emma Frejinger and Nicolettta Ricciardi
Transportation research procedia
(2020-01-01)
www.sciencedirect.com

2019-12

A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs.
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel and Sriram Sankaranarayanan
CPAIOR 2019
(2019-12-17)
dblp.uni-trier.dePDF
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs.
Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel and Sriram Sankaranarayanan
arXiv preprint arXiv:1912.08112
(2019-12-17)
dblp.uni-trier.dePDF

2019-10

A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty.
Emma Frejinger and Eric Larsen
arXiv preprint arXiv:1910.08216
(2019-10-18)
dblp.uni-trier.dePDF

2019-06

An empirical study on aggregation of alternatives and its influence on prediction in car type choice models
Shiva Habibi, Emma Frejinger and Marcus Sundberg
Transportation
(2019-06-01)
link.springer.comPDF

2018-07

Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
arXiv preprint arXiv:1901.07935
(2018-07-31)
aps.arxiv.orgPDF
Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien and Andrea Lodi
arXiv: Learning
(2018-07-31)
dblp.uni-trier.dePDF

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