[IISE Faculty List] TSL Workshop 2025 Seoul -- Deadline Extension to Jan. 31.

[Changhyun Kwon]

Dear Colleagues and Friends,

We announce that the abstract submission deadline for the INFORMS TSL Workshop 2025 Seoul has been extended to January 31st by many requests.

Please refer to the workshop homepage for the details:  https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftsl2025.kaist.ac.kr%2Fcall_for_abstracts%2F&data=05%7C02%7Ciefac.list%40mailhost.ces.clemson.edu%7C786bbe95f08943eeaea508dd3576e41a%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638725507398832858%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C40000%7C%7C%7C&sdata=Jfu34HAddxsQPUWK5vo7UZVjMF7H7LKQfr%2FqzksagKA%3D&reserved=0 <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftsl2025.kaist.ac.kr%2Fcall_for_abstracts%2F&data=05%7C02%7Ciefac.list%40mailhost.ces.clemson.edu%7C786bbe95f08943eeaea508dd3576e41a%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638725507398855328%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C40000%7C%7C%7C&sdata=zboCVXaipHA7%2Bne7ky%2B0rTlBnO%2FflvjNIOxJksAzcNY%3D&reserved=0>



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.

If you have any questions, please feel free to email me at chkwon at kaist.ac.kr.

Cheers,
Chang


--
Changhyun Kwon, Ph.D.

Associate Professor
Department of Industrial and Systems Engineering
KAIST

Office Location: E2-1 #4210
Office Phone: 042-350-3138
Web: https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.chkwon.net%2F&data=05%7C02%7Ciefac.list%40mailhost.ces.clemson.edu%7C786bbe95f08943eeaea508dd3576e41a%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638725507398866768%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C40000%7C%7C%7C&sdata=5F4sZjm6tIeBXyXMMXxDgGQE%2B7S4ninw8xmD8zVNyQ4%3D&reserved=0
Email: chkwon at kaist.ac.kr


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