Call for Abstracts

We invite submissions for our upcoming workshop, focused on advancing the integration of machine learning (ML) and operations research (OR) to tackle complex challenges in transportation and logistics. With the growing need for intelligent, data-driven solutions, this workshop aims to bring together researchers and practitioners from both ML and OR communities to explore collaborative approaches and methods that leverage the strengths of each field.

💡 Main Theme: The interplay of machine learning and operations research for transportation and logistics challenges.

This workshop seeks to highlight innovative research that demonstrates how ML and OR can complement and enhance one another for tackling modern transportation and logistics challenges, with examples including but not limited to:

• Integration of ML-based data analysis with OR modeling to improve prediction, optimization, and decision-making in transportation.
• Development of end-to-end ML approaches to solve traditionally OR-based problems, offering new efficiencies and perspectives.
• Hybrid models that intertwine ML and OR methods for complex problem-solving, addressing areas where conventional OR or ML alone may fall short.
• Decision-focused learning frameworks that emphasize optimization-driven learning objectives tailored to real-world logistical applications.
• Exact or heuristic optimization algorithms enhanced by ML methods
• Innovative applications of large language models (LLMs) to transportation and logistics challenges.

We welcome any applications in the field of transportation science and logistics. Additionally, submissions of other methods and applications that are of traditional interest to INFORMS TSL Society members are encouraged, though priority will be given to abstracts that align better with the main theme of the workshop.

Submission Details

Please submit a 2–4 page extended abstract that provides a detailed summary of the research problem, methodology, and key findings or expected contributions. Submissions will be reviewed by a committee of experts, and selections will be based on relevance to the workshop theme, novelty, and potential impact.

📣 Submission is open now!

Submit Your Abstract

All abstracts must be prepared using the provided templates:

• LaTeX template
• Microsoft Word template

Important Dates

• Abstract submission deadline: January 31, 2025
• Notification of acceptance: February 15, 2025
• Deadline for early registration: March 15, 2025
• Workshop: May 19–21, 2025

Scientific Committee

• Niels Agatz, Rotterdam School of Management, Erasmus University, The Netherlands
• Agostinho Agra, University of Aveiro, Portugal
• Sibel Alumur Alev, University of Waterloo, Canada
• Bilge Atasoy, Delft University of Technology, The Netherlands
• Simon Belieres, Toulouse Business School, France
• Imen Ben Mohamed, Emlyon business school, France
• Maria Elena Bruni, University of Calabria, Italy
• Ann Campbell, University of Iowa, United States
• Teodor Gabriel Crainic, CIRRELT and Université du Québec à Montréal, Canada
• Karl Doerner, University of Vienna, Austria
• Alexandre Dolgui, IMT Atlantique, France
• Jan Fabian Ehmke, University of Vienna, Austria
• Fausto Errico, ÉTS Montréal, GERAD et CIRRELT, Canada
• Pirmin Fontaine, Catholic University of Eichstätt-Ingolstadt, Germany
• Margaretha Gansterer, University of Klagenfurt, Austria
• Michel Gendreau, Polytechnique Montréal, Canada
• Francesca Guerriero, University of Calabria, Italy
• Mike Hewitt, Loyola University Chicago, USA
• Reem Khir, Purdue University, USA
• Walid Klibi, Kedge Business School, France
• Cagri Koc, Hacettepe University, Ankara, Türkiye, Turkey
• Sadan Kulturel-Konak, Penn State Berks, USA
• Changhyun Kwon, KAIST, South Korea
• Nadia Lahrichi, Polytechnique Montréal, Canada
• Chungmok Lee, Hankuk University of Foreign Studies, South Korea
• Francesca Maggioni, University of Bergamo, Italia
• Andres Medaglia, Universidad de los Andes, Colombia
• Jorge E. Mendoza, HEC Montréal, Canada
• Stefan Minner, Technical University of Munich, Germany
• Pedro Munari, Federal University of Sao Carlos, Brazil
• Stefan Nickel, Karlsruhe Institute of Technology, Germany
• Giovanni Pantuso, University of Copenhagen, Denmark
• Sophie Parragh, Johannes Kepler University Linz, Austria
• Jennifer Pazour, Rensselaer Polytechnic Institute, United States
• Guido Perboli, Rensselaer Politecnico di Torino, Italy
• Walter Rei, UQAM, Canada
• David Rey, SKEMA Business School, France
• Nuno Riberio, Singapore University of Technology and Design, Singapore
• Mikael Rönnqvist, Université Laval, Canada
• Francisco Saldanha Da Gama, University of Sheffield, England
• Rosemarie Santa González, Georgia Tech, USA
• SangHwa Song, Incheon National University Graduate School of Logistics, South Korea
• Anirudh Subramanyam, Pennsylvania State University, USA
• Xiaotong Sun, HKUST, China
• Gita Taherkhani, Loyola University Chicago, United States
• Reza Tavakkoli-Moghaddam, University of Tehran, Iran
• Kevin Tierney, Bielefeld University, Germany
• Alejandro Toriello, Georgia Tech, USA
• Marlin Ulmer, Otto-von-Guericke-Universität Magdeburg, Germany
• Tom Van Woensel, Eindhoven University of Technology, The Netherlands
• Stein W. Wallace, NHH Norwegian School of Economics, Norway
• Hai Wang, Singapore Management University, Singapore
• Yue Wang, University of Arizona, USA
• Julia Yan, University of British Columbia, Canada
• Barış Yıldız, Koç University, Turkey
• Kenan Zhang, EPFL, Switzerland
• Lei Zhao, Tsinghua University, China
• Nicolas Zufferey, University of Geneva, Switzerland