DDQCIII: Data-driven techniques in Operations Research

The Data-Driven Queueing Challenges conference, DDQC III, will be in-person for the first time over 11-13th November, 2024 at Eurandom in Eindhoven.

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

The increasing availability of empirical data in the operation of large computer networks and in the management of human service systems is creating new opportunities for study in queueing theory. The objective of the workshop is to highlight and discuss future directions in data-driven queueing that arise in modelling, monitoring and controlling queues, and in dealing with parameter uncertainty, when there is access to operational data.

On 14 November a satellite workshop will take place. This workshop will be dealing with problems at the interface of statistics, decision & control and complex networks.

Confirmed speakers are:

• Jose Blanchet (Stanford University)
• Arnoud den Boer (University of Amsterdam)
• Richard Combes (Laboratory of Signals and Systems, CentraleSupélec)
• Jing Dong (Columbia Business School)
• Harsha Honnappa (Purdue University)
• Rouba Ibrahim (University College London)
• Alexandre Proutiere (KTH Royal Institute of Technology)
• Sanjay Shakkottai (University of Texas at Austin)
• Pengyi Shi (Purdue University)
• Ran Snitkovsky (Tel Aviv University)
• R Srikant (University of Illinois at Urbana-Champaign)
• Neil Walton (University of Durham)
• Mengdi Wang (Princeton University)
• Weina Wang (Carnegie Mellon University)
• Zicheng Wang (The Chinese University of Hong Kong, Shenzhen)
• Xiaowei Zhang (Hong Kong University of Science and Technology)

Registration

For more information and the registration form, see the website:  ddqc.io