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 the University of Montreal, member of CIRRELT and holder of the CN Chair in Optimization of Railway Operations. She holds a Ph.D. in mathematics awarded by the Ecole Polytechnique Fédérale de Lausanne, Switzerland. Her areas of expertise include both transportation demand prediction and optimization of transportation networks. More precisely, her current major projects are related to the opimization of railway operations and combine operations research and data science methodologies. Her students and herself have won several international awards, including twice the prestigious TSL Dissertation Prize bestowed by the INFORMS Transport Science and Logistics Society. She has realized numerous projets in collaboration with public and private actors. In 2017, the Association québecoise des transports (AQTr) awarded the excellence prize in the freight transportation category to a collaborative project between CardoM and CIRRELT, for which she was lead of research.

Publications

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

Publications collected and formatted using Paperoni

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