INFORMS Open Forum

Announcement of best paper competition at 2025 ICQSR

  • 1.  Announcement of best paper competition at 2025 ICQSR

    Posted 03-12-2025 10:09
      |   view attached

    Dear Colleagues,

    We are announcing the best paper competition for 2025 ICQSR to be held from June 30 to July 4 in Singapore. 

    Please refer to the attached flyer. The message is copied below. Thank you very much for your attention!

    Hui Wang

    Associate Professor

    Industrial Engineering

    Florida State University

    Call for Papers

    INFORMS Conference on Quality, Statistics, and Reliability (ICQSR)

    Best Paper Competition

     

    The 2025 INFORMS Conference on Quality, Statistics, and Reliability (ICQSR) announces the Best Paper Award Competition to recognize excellence among the high-quality papers submitted to ICQSR. This award program brings prestige to the QSR Section as well as to the recipients of this honor.

    Conference dates: June 30 – July 04, 2025

    Location: Fairmount Singapore, 80 Bras Basah Road, Singapore 189560

    Conference website: https://sites.google.com/view/icqsr2025

    The INFORMS Conference on Quality, Statistics, and Reliability (ICQSR) is the flagship conference of the Quality, Statistics, and Reliability (QSR) section of the Institute for Operations Research and the Management Sciences (INFORMS). ICQSR aims to provide an international forum for exchanging research innovations and advancements that reinforce the scientific essentials – quality improvement, statistical learning, and reliability assurance – and embrace emerging practical challenges. 

    Topics of interest in the Best Paper Competition of the ICQSR 2025 include, but are not limited to:

    • AI for human-machine systems
    • Data analytics for energy systems
    • Process monitoring and control
    • Analytics for smart and advanced manufacturing
    • Systems informatics and control
    • Design and analysis of computer experiments
    • Reliability modeling
    • Maintenance decision-making
    • Data quality assurance and data visualization
    • Quality and reliability analysis in Industry 4.0
    • Data analytics in healthcare applications
    • Science/Physics informed machine learning
    • Prognostics and health management
    • Machine learning and data mining
    • Explainable AI and interpretable machine learning
    • Exploration of natural language processing in improving quality control
    • Differential privacy and cybersecurity in manufacturing quality control

    On behalf of the organizing committee, we would like to invite you to submit a paper for this competition. The primary authors of the selected papers will be invited to present their work in the best paper session at the 2025 ICQSR. All submitted papers and oral presentations will be reviewed and ranked by multiple reviewers. The winner will be announced at the 2025 ICQSR Banquet. The broad criteria for selecting the recipient of the ICQSR Best Paper Award are: (a) Academic significance (originality, depth, and completeness of the work, and its potential impact on future research); (b) Engineering or business relevance (significance of the problem, and its impact on engineering or business practice); and (c) Quality of the written paper and oral presentation.

    Eligibility Requirements and Application Process:

    • At least one of the authors must be a member of the QSR Section (Link to join QSR)
    • The submitted paper should be unpublished work by the submission deadline of the competition.
    • The submitted paper should not have been selected as a winner of past competitions in other conferences.
    • The primary author or one of co-authors must be committed to presenting the paper in person at a special session of the 2025 ICQSR.
    • Papers considered for this competition MAY be simultaneously submitted to other sessions of the ICQSR. If a finalist is scheduled to present in another session, they need to present the paper twice: once in the ICQSR Best Paper session, and once in their previously scheduled session.
    • The ICQSR Section does NOT own the copyright of the paper.
    • Required Format for Submission: Please keep articles as brief as possible. The maximum length is one-column 12 pages. Use 11 point and Times New Roman font with 1 inch margins, and single-spacing for the manuscript including references, tables, figures and appendices. The paper must begin with an abstract of at most 250 words. The paper must follow the required format, or it will be returned without review.
    • The finalists of the best paper award competition will be encouraged to submit to IISE Transactions on Data Science, Quality and Reliability. The editorial board of IISE Transactions on Data Science, Quality and Reliability will work closely with the subcommittee of the ICQSR Best Paper Competition to shorten the review cycle.

     

    To participate in this competition, a blinded as well as an unblinded version of the paper in MS WORD or PDF format should be emailed to all co-organizers of the ICQSR Best Paper Competition, with the email subject line "Name+University+2025 ICQSR best paper competition" prior to the deadline of May 11, 2025. This deadline will not be extended. Late submissions will be ineligible for the competition and will not be reviewed.

     

    Competition Timeline:

    May 11, 2025:                                         Paper submission deadline (not extended)

    June 9, 2025:                                           Finalists announced

    July 1-July 4, 2025:                                 Presentation in the ICQSR Best Paper session

     

    The subcommittee of the ICQSR Best Paper Competition:

    Lulu Kang, PhD

    Associate Professor

    Department of Mathematics and Statistics

    University of Massachusetts Amherst

    Email: lulukang@umass.edu

    Zhisheng Ye, PhD

    Associate Professor

    Department of Industrial Systems Engineering and Management

    National University of Singapore

    Email: yez@nus.edu.sg

    Hui Wang, PhD

    Associate Professor

    Department of Industrial and Manufacturing Engineering

    Florida A&M University-Florida State University

    Email: hwang10@eng.famu.fsu.edu



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    Hui Wang
    Associate Professor
    Florida State University
    Tallahassee FL
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