Welcome to IISE DAIS division. The DAIS division has continued to provide quality services to our community through various established programs and new initiatives with paper submissions, special sessions and various competitions. We would like to express our gratitude for the tremendous contributions of the past president of DAIS, Xiao Liu (Georgia Tech), Amy Straub from IISE, our TVP Joseph Wilck (William & Mary), and the past board members, Haifeng Wang (Mississippi State), Fei Gao (Cruise), Nathan Gaw (Airforce Institute of Technology) and Zimo Wang (Binghamton University) and our student board member, Kyle Hunt (University of Buffalo).
We would also like to congratulate Chenang Liu (Oklahoma State University) for being elected as the President-Elect (2023-2024), and thank our current board members for organizing and leading many wonderful activities and programs. If you are interested in joining the Board of Directors and contributing to any new initiatives, the Call for Nominations is out and can be found here. We are eagerly looking for your engagement as industrial and academic professionals. Positions for student board directors are also available.
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The 2024 IISE Annual Conference & Expo will take place from May 18-21, Montreal Canada. If you are attending the conference, you are cordially invited to join the DAIS Town Hall meeting to learn about the DAIS’ current status, many of its exciting activities, and future plans.
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The key activities of the DAIS division for 2023-2024 include:
- Best Track Paper Competition
- Best Student Paper Competition
- Mobile/Web App Competition
- Data Analytics Competition
- Professional Achievement Award
- Analytics Education Award
- Research Webinar Series
- DAIS Newsletter and Social Media
- DAIS & QCRE Joint Mentoring Program (introduced this year)
- DAIS Tracks and Town Hall Meeting in IISE Conference & Expo
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We look forward to seeing you at the 2024 IISE Annual Conference and Expo in Montreal and wish you everyone a productive and peaceful year!
Sincerely,
Na Zou (Texas A&M University)
IISE DAIS Division President, 2023-2024
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Introducing the 2023-2024 DAIS Board Members |
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The current board members are (left to right): Yu Jin from Binghamton University, Xiaowei Yue from Virginia Tech, Ashif Iquebal from Arizona State, Adam Meyers from the University of Miami, Cesar Ruiz from the University of Oklahoma, Xiaoyu Chen from the University at Buffalo, Yinan Wang from Rensselaer Polytechnic Institute, Arda Vanli from Florida State University, and Michael Biehler from Georgia Tech.
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Na Zou
President
2023-2024
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Chenang Liu
President Elect
2023-2024
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Xiao Liu
Past President
2023-2024
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Yu (Chelsea) Jin
Board Director
2022-2024
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Xiaowei Yue
Board Director
2022-2024
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Ashif Iquebal
Board Director
2022-2024
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Adam Meyers
Board Director
2022-2024
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Cesar Ruiz
Board Director
2023-2025
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Xiaoyu Chen
Board Director
2023-2025
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Yinan Wang
Board Director
2023-2025
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Arda Vanli
Board Director
2023-2025
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Michael Biehler,
Student Board Member
2023-2024
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Call for Nominations for DAIS Board of Directors and President-Elect |
The Data Analytics and Information Systems (DAIS) Division Nominating Committee is making a call for nominations for President-Elect and 4 dynamic directors whose terms will begin June 1, 2024. All nominees must be current, regular members of the DAIS Division. Students are not eligible.
The position is a two-year commitment with fantastic opportunities to network and give back to the profession. Generally, the time commitment is three to five hours per month - about half of the time is during traditional business hours. Interested candidates or nominators should complete the nomination form by December 15, 2023. for consideration by the nominating committee.
Click here to submit nomination form. Contact Na Zou (nzou1@tamu.edu), nominating committee chair, if you have questions about the positions and responsibilities. Please consider giving back to your profession through a Division leadership position.
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IISE Annual Conference & Expo 2024: Call for Papers & Important Deadlines! |
The IISE Annual Conference & Expo 2024 will be held at the Montreal Convention Centre, Montreal, Canada on May 18 – 21, 2024. The IISE DAIS Division is sponsoring the DAIS Track at the 2024 IISE Annual Conference & Expo. The submission deadline for abstract or presentation summary is Dec. 1, 2023. While not required, we strongly encourage all presenters to submit a paper for publication so discoveries can be permanently documented. This year, two types of papers will be considered: research papers and case study papers.
- Research papers (with a limit of six pages) contain methods and results that are significant and have archival value to the industrial and systems engineering community. They will undergo a double-blind peer review process and accepted papers will be copyrighted and indexed in the Conference Proceedings via ProQuest.
- Case study papers (of two to six pages) describe the application of a method or technology that addresses an important industry-motivated issue. They will be reviewed to ensure that the content focuses on the value and lessons learned for the industrial and systems engineering community. The case study papers should avoid significant marketing material. Accepted manuscripts will be published with access via the IISE website.
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Important Dates
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December 1, 2023 - Submission deadline for abstract/presentation summary
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December 29, 2023 – Notification of decision on abstract/presentation summary
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February 9, 2024 - Paper submission deadline (optional but encouraged)
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March 8, 2024 – Notification on full paper decision
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March 22, 2024 – Speaker registration deadline
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March 31, 2024 – Paper final revision submission deadline
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April 12, 2024 - Final schedule
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May 18 - 21, 2024 - IISE Annual Conference and Expo 2024
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Call for Papers: 2024 IISE DAIS Best Track Paper Competition! |
The IISE DAIS Division announces the DAIS Best Track Paper Competition. The purpose of this competition is to honor outstanding papers in research and practice of data analytics and information systems. To participate in this competition, the authors must have an accepted oral abstract to be able to submit full papers for the competition. The abstract submission is due by Dec, 1, 2023, and full paper submission is due by Feb. 9, 2024.
Each eligible paper will be reviewed and ranked by 2-3 external referees. Based on the review scores, four finalists for the Best Track Paper will be selected by the organizing committee to make oral presentations at the 2024 IISE Annual Conference May 18 - 21, 2024. The organizing committee will select the winner(s) based on the review evaluation and oral presentation. The Best Track Paper Winner will be presented at the town hall meeting of the DAIS Track during the 2024 IISE Annual Conference. More details about the eligibility requirements, application process, and evaluation process, can be found at https://www.iise.org/Details.aspx?id=54456.
If you have any questions, please send an email (with the subject "DAIS Best Track Paper Competition") to the 2024 committee chairs Yu (Chelsea) Jin at yjin@binghamton.edu and Arda Vanli at oavanli@eng.famu.fsu.edu.
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Call for Papers: 2024 IISE DAIS Best Student Paper Competition! |
The IISE DAIS Division announces the DAIS Track Best Student Paper Award whose objective is to recognize excellence among its student members. The award program brings prestige to the DAIS Division as well as to the recipients honored. The submission deadline is Feb. 2, 2024.
Four finalists for the Best Student Paper Award will be selected to make oral presentations at the 2024 IISE Annual Conference May 18-21, 2024. All finalists will receive an award certificate. The Best Student Paper Award will be presented at the town hall meeting of the DAIS Track during the 2024 IISE Annual Conference. More details about the eligibility requirements, application process, and evaluation process, are available at https://www.iise.org/Details.aspx?id=17500. If you have any questions, please send an email (with subject “DAIS Best Student Paper Competition”) to the coordinators Dr. Ashif Iquebal at aiquebal@asu.edu, Dr. Xiaoyu Chen at xchen325@buffalo.edu, and Dr. Cesar Ruiz Torres at
caruiz@ou.edu. All submitted papers will be reviewed and ranked by external referees and finalists will be announced by Mar. 8, 2024. The winner of the competition will be decided based on the review evaluations and oral presentations.
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Call for Participants: 2024 DAIS Mobile/Web App Competition! |
The IISE DAIS Division announces the IISE DAIS Mobile/Web App Competition to recognize creativity and excellence among its members and motivate them to commercialize their research and learning outcomes to accelerate economic and societal benefits.
Mobile/web apps that are based on concepts, principles, techniques, or applications related to the field of industrial and systems engineering will be accepted. Each team will be evaluated by the following criteria: (1) Originality; (2) Technical details of the mobile/web app; (3) Business plan to justify the need for their mobile/web app in the marketplace; and (4) Demonstration of the prototype.
To be eligible for this competition, teams must submit a proposal (no more than 2 pages) describing their mobile/web app via email with the subject "DAIS Mobile/Web App Competition" to the chairs of the competition steering committee by Dec. 15, 2023. The proposal must include 1) a list of team members and their affiliations, 2) a list of features of the mobile/web app, and 3) the target market segment(s) of the mobile/web app.
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Call for Participants: 2024 DAIS Data Analytics Competition! |
The Data Analytics Competition is an annual student competition held by the Data Analytics and Information Systems (DAIS) division. The main objective of the competition is to provide the students with the opportunity to learn and improve their data analysis and visualization skills through working with real-world-sized data sets. The detailed information and competition timeline will be announced soon. If you have questions, please contact the competition organizers Dr. Yinan Wang at wangy88@rpi.edu and Dr. Xiaoyu Chen at xchen325@buffalo.edu. |
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Call for Nominations: DAIS Professional Achievement Award! |
The IISE DAIS Division is now accepting the nomination for the DAIS Professional Achievement Award. The purpose of this award is to recognize an exceptional individual working in a field other than academia who has made significant contributions to the field of data analytics and information systems over a period of at least 15 years of professional experience after the highest degree, with the cumulative impact of those contributions on data analytics and information systems being the deciding factor.
Individuals may make contributions to any or all of the following categories: (1) Efforts and contribution to data analytics and information systems education; (2) Dissemination of knowledge; (3) Contributions to advance research; (4) Commitment to mentoring; (5) Improvement of the field's position or visibility; and (6) Contributions to practice.
The nominations deadline is Feb. 12, 2024, and the winner will be notified: March 8, 2024. Please email your nomination/application to Dr. Na Zou at nzou1@tamu.edu. More details about the nomination process and evaluation process are available in the IISE’s webpage
If you have questions, please contact the committee chair Dr. Na Zou.
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Call for Nominations: DAIS Teaching Award! |
The division now invites nominations for the “Data Analytics Teaching Award.” The award will be presented at the IISE Annual Conference & Expo, May 18-21, 2024, in Montreal, Canada. The award recognizes individual faculty for sustained performance of excellence in teaching DAIS-related courses. To be eligible for this award, the candidate should meet:
- The candidate should have offered one DAIS-related course at either undergraduate or graduate level within industrial engineering or other closely related programs.
- The candidate should be a full-time tenured or tenure-track faculty and a member of DAIS of IISE. Course materials for which they are being recognized should have been developed and taught by the candidate at least twice over the past 5 years (from Fall 2019 to Fall 2023).
The nomination package must be submitted in a single PDF format. The deadline for nominations is Feb. 9, 2024. Please email the application to Dr. Chenang Liu at chenang.liu@okstate.edu. The winner will be notified by Mar. 8, 2024. The detailed announcement is also available in the IISE’s webpage (https://www.iise.org/Details.aspx?id=52582).
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Call for Participants: DAIS & QCRE Mentoring Program! |
The Data Analytics & Information Systems (DAIS) Division and Quality Control & Reliability Engineering (QCRE) Division of the Institute of Industrial and Systems Engineers (IISE) are pleased to announce the launch of our mentorship program, specifically tailored for professionals in the fields of Data Science, Information Systems, Quality Science and Reliability Engineering. This program has been established with the vision to bridge knowledge gaps, foster collaboration, and drive personal and professional growth. The program's specific goals are to connect those who may need mentoring (such as students or early-career engineers) with those who are willing to mentor and facilitate those interactions. . For more questions about participating in this program as mentor or a mentee, please contact Dr. Xiaowei Yue (yuex@tsinghua.edu.cn).
How to Apply? If you are interested in serving as a mentor or being a mentee, please fill out the application form linked. The deadline for application is December 20th, 2023.
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Join us for the DAIS and QCRE Upcoming Research Webinar |
Title: Advancing and Accelerating Qualification and Characterization through Stochastic Inverse Modeling
Time and Date: 1 p.m. ET Nov. 28
Presenter: Dr. Ashif Iquebal, Assistant Professor, Arizona State University
Abstract: In this talk, we will explore the existing research on inverse problems and how they are limited in accurately estimating the QoIs and their variabilities. Subsequently, we will present our research on stochastic inverse problems that reformulates the classical inverse problem by considering the variability in the QoIs. This new approach leads to accurately estimating not just the QoIs but also the variabilities therein.
Presented jointly by the Data Analytics and Information Systems (DAIS) Division and the Quality Control and Reliability Engineering (QCRE) Division
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Title: Assessing the Calibration and Performance of Attention-based Spatiotemporal Neural Networks for Lightning Prediction
Presenter: Dr. Nathan Gaw, Air Force Institute of Technology
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Title: Digital Twin for Quality Innovations: Manufacturing and Health Applications
Presenter: Dr. Hui Yang, Penn State University
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Have you considered a corporate membership? If not, why? Companies large and small enjoy the benefits. Include your entire team and receive all the benefits of individual membership, plus lowest rates to attend the Conferences and much more.
Contact Doug Long IISE Global Director for Strategic Alliances for more details.
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