INFORMS Open Forum

Queueing Systems (QUESTA) Special Issue on Learning and Control in Stochastic Networks

  • 1.  Queueing Systems (QUESTA) Special Issue on Learning and Control in Stochastic Networks

    Posted 02-12-2020 20:22
    Hi Everyone,

    Please consider submitting your work to QUESTA's special issue on "Learning and Control in Stochastic Networks". The submission deadline is Oct 31, 2020. Details below.

    Background and Scope: The theory of stochastic networks and their control is undergoing a phase of exciting collaborative growth with modern machine learning and artificial intelligence techniques, fueled by several new applications.

    On the one hand, recent years have seen a surge of interest in the application of machine learning techniques to the control of stochastic networks arising in modern communications applications like data centers, the goal being to design agile control mechanisms that operate under minimal informational assumptions and that adapt to changes in system characteristics over time.

    On the other hand, stochastic networks have emerged as a powerful modeling paradigm for addressing operational questions of matching demand and supply in modern platforms and marketplaces. Examples include ride-sharing platforms, labor platforms, energy markets, etc. A key value proposition of these platforms is the ability to learn from the tremendous amount of transactional data being generated to predict and mitigate supply-demand imbalances, and to recommend and make higher value matches than would otherwise be possible without centralized recommendations and/or matchmaking. Realizing this value proposition requires network control mechanisms that seamlessly assimilate information from data while being robust to strategic concerns.

    These developments have led to a growing body of literature on the control of stochastic networks with novel architectures and at the interface of these control mechanisms with machine learning and strategic behavior. The special issue invites papers addressing novel technical challenges in this domain with direct applications to practice.

    More details: https://www.springer.com/journal/11134/updates/17587628

    Guest Editors:
    Rahul Jain (USC)
    Vijay Kamble (UIC)
    Sanjay Shakkottai (UT Austin)
    Jiaming Xu (Duke)

    Important Dates:

    Date of submission: Oct 31 2020
    1st reviews sent: April 30 2021
    Revision deadline: July 31 2021
    Final decisions: Nov 30 2021
    Publication date: Dec 2021

    Best regards,
    Vijay Kamble



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    Assistant Professor
    Information and Decision Sciences
    College of Business Administration
    The University of Illinois at Chicago
    kamble@uic.edu
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