IISE data analytics & Information Systems (dais) Division Best Student Paper Competition

The Data Analytics & Information Systems (DAIS) Division of the Institute of Industrial and Systems Engineering (IISE) 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.

Four finalists for the Best Student Paper Award will be selected to make oral presentations at the 2020 IISE Annual Conference to be held in New Orleans, La. Oct. 31 - Nov. 3, 2020. All finalists will receive an award certificate. The first-place winner will receive a framed certificate. The Best Student Paper Award will be presented at the town hall meeting of the DAIS Track during the 2020 IISE Annual Conference.

Eligibility Requirements

  • The paper topic should fit the DAIS themes. The paper must present original research results and CAN NOT be accepted for publication elsewhere at the time of submission.
  • The first author must be a member of IISE and the DAIS division.
  • The student should be the first author of the submitted paper. Moreover, a formal, signed statement by the student's advisor should be submitted along with the paper affirming that the majority of the original results presented in the paper are due to the student rather than the advisor or other collaborators involved in the work.
  • The paper should be completed during the first author’s undergraduate or graduate studies.
  • Previous finalists who wish to compete again should submit an entirely different paper. However, past winners are not eligible for the competition.
  • The finalists will be announced before the conference and will present their papers in the session of the DAIS Best Student Paper Competition at the 2020 IISE Annual Conference.
  • Paper considered for this competition MAY NOT be simultaneously submitted to other competitions at the 2020 IISE Annual Conference.
  • Finalists must be able to attend the IISE Annual Conference & Expo, Oct. 31 - Nov. 3, 2020, in New Orleans, La.

Evaluation Process

Each eligible paper will be reviewed by two-three external referees, each of whom will assign a numerical score using the following five criteria. For each criterion, an integer score between 1 and 5, with 5 being the highest rating, will be assigned.

  • Originality
  • Depth and completeness of the work
  • Significance
  • Organization and quality of writing
  • Relevance to DAIS (importance of the problem and its impact on the practice of DAIS)

Formatting and Submission Guidelines

  • Paper format: follow the paper guidelines and requirements of IISE conference proceedings.
  • To enter, please submit a blinded and unblinded version of the paper along with a formal signed statement by the student’s advisor, all in electronic format (PDF files ONLY), with subject “DAIS Best Student Paper Competition” to the 2020 contest coordinators Dr. Bing Si and Dr. Ying Lin no later than Feb. 16, 2020. Late or incomplete submissions will not be eligible. IISE Conference and DAIS division do NOT own the copyright of the papers submitted to this competition.
  • Papers submitted to the DAIS track using conference submission system are also qualified for this competition. If you would like to participate, please email the signed statement by the student’s advisor along with the paper ID to the coordinators no later than Feb. 16, 2020.

If you have any questions, please send an email (with subject “DAIS Best Student Paper Competition”) to the coordinators. All submitted papers will be reviewed and ranked by external referees and finalists will be announced on April 5, 2020. The winner of the competition will be decided upon the review evaluation and oral presentation.


Paper submission: Feb. 16, 2020

Finalists notification: April 5, 2020

Submissions should be sent to the committee chairs: Bing Si and Ying Lin

For more information, please contact Bonnie Cameron.

2019 Winner

Jialei Chen
Georgia Institute of Technology
"A Functional-input, Functional-output Emulation Model for Efficient Tissue-mimicking via 3D-printed Metamaterial"

2019 Runners-Up

Dan Li
Georgia Institute of Technology
"Detection and Distinction of Replay Attack and Equipment Faults in SCADA Systems"

Mojitaba Khanzadeh
Mississippi State University
"Fast Prediction of Thermal History for Direct Laser Deposition Processes using Network-based Tensor Regression"

Di Wang
Peking University
"Spatiotemporal Multitask Learning for 3D Dynamic Field Modeling"

Past Winners

DAIS Division Page