IISE Data Analytics and Information Systems (DAIS) Division Teaching Award
The Data Analytics & Information Systems (DAIS) Division Teaching Award recognizes excellence in teaching in the area of Data Analytics. The award will be presented at the DAIS Town Hall Meeting at the IISE Annual Conference & Expo.
Eligibility Criteria
- The candidate must be a member of IISE and the DAIS division at the time of the submission.
- The course for which the candidate is being recognized must be a DAIS-related undergraduate or graduate course within an industrial engineering or related program.
- Course materials for which they are being recognized must have been developed and taught by the candidate at least twice over the past 5 years.
- Candidate must have significantly contributed to the course design and development of the course materials. These contributions must be specified in the cover letter.
Application/Nomination Process
The candidate must be nominated by the candidate’s department chair, program director, faculty colleague, student who has taken the course from the candidate, or themselves. The nomination package must include:
- A cover letter.
- Curriculum Vitae of the candidate. (max. 5 pages)
- A one-page statement of teaching philosophy.
- Course syllabus, sample lecture notes, and other supporting items such as samples of different instructional materials used or course-related publications.
- Most recent course description in the institution’s course catalog with citation to the course catalog. This may be a hyperlink to the course description or a document that includes the catalog cover page & the page(s) containing the course description.
- At least two copies of teaching evaluations over the past 5 years for the course they are being recognized.
- At least two support letters from academic or industrial peers highlighting the impacts of the course. (max. 2 pages per each)
All supporting documents in the nomination package must be submitted in a single PDF format. The deadline for nominations is February 9, 2025. Please email the application package to
Nathan Gaw. The winner will be notified by March 15, 2025 Previous candidates who wish to compete again can submit the same package in the following years.
Evaluation Process
The nominee will be evaluated by a panel with five senior judges based on the following criteria:
- Innovation in teaching content and delivery methods (40%).
- Broader impacts on data analytics teaching, including but are not limited to publications, presentations, industrial collaborations, etc. (30%).
- Evaluations from students and peers (30%).
Important Dates (Deadlines)
Nominations are due February 9, 2025
Winners/Finalists will be notified by March 15, 2025
Speaker registration deadline: March 23, 2025
Recognition
- The winner will receive a certificate provided by IISE and will be recognized at the DAIS division Town Hall meeting.
- The winner will be acknowledged in the DAIS Division newsletter.
Committee Chair
Nathan Gaw.
Conflict of Interest Policy
Societies and divisions must follow standard conflict of interest guidelines. Those guidelines include, but are not limited to:
- Officers and Board members of the S/D should be ineligible for awards during the period of their service, without approval by the Senior VP for Technical Operations (SVP). Exceptions may only be made by the SVP when awards are time sensitive (i.e., a Student Best Paper Award for a Student Board Member, when the student is graduating),
and the impacted board member(s) or officer(s) must recuse themselves from the award process. For awards that are not time-sensitive, the nominee should wait until their Officer or Board service is complete to be nominated.
- The awards committee (or judging committee) should not include members who have either a personal or professional relationship with the nominees. For example, a faculty member should not be judging a paper competition where a student from the same university is a nominee for best student paper award.
- The awards committee (or judging committee) should actively change its membership on a rotating basis from year to year to ensure fairness, equity, and diversity. That is, some members of the judging committee should roll off the committee and new members should roll on.
2024 Winner
Anahita Khojandi
University of Tennessee
2023 Winner
Shuai Huang
University of Washington
2022 Winners
Ahmed Aziz Ezzat
Rutgers University
Hao Yan
Arizona State University