DATA-DRIVEN TECHNIQUES AND OPERATIONS RESEARCH

The Data-driven Techniques in Operations Research workshop (formerly known as Data-driven Queueing Challenges) will be held in Asia for the first time in 2025. The event will take place at the Chinese University of Hong Kong, Shenzhen, from November 12 to 14.

The event will bring together researchers with backgrounds in operations management, statistics, stochastic modelling, data science and control to discuss contemporary data-driven challenges in operations research.

The increasing availability of empirical data in the operation of large networks and in the management of service systems is creating new opportunities for researchers. The objective of the conference is to highlight and discuss future directions in data-driven operations research that include, but is not limited to, topics such as learning, stochastic optimization, and the inference of stochastic systems.

The first three workshops—held online in 2021 and 2022, and in-person in Eindhoven in 2024. You can find more details about the previous workshops at ddqc.io.

Organizing committee

Xinyun Chen

The Chinese University of Hong Kong, Shenzhen

Jing Dong

Columbia University

Michel Mandjes

Leiden University

Pierre Nyquist

University of Gothenburg

Rayadurgam Srikant

University of Illinois at Urbana-Champaign

Xiaowei Zhang

Hong Kong University of Science and Technology