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EMI Machine Learning in Mechanics Student Paper Competition

Sponsored by: EMI Machine Learning in Mechanics

Purpose

  • To foster active participation of emerging professionals in EMI conferences, specifically in fields at the intersection of Machine Learning and Mechanics.
  • To engage student members with the Machine Learning in Mechanics Committee to promote professional development, community bonds and prepare them to take on future responsibilities within the technical community.
  • To enhance technical writing and presentation skills while encouraging high-quality submissions to the flagship journals of EMI, such as Journal of Engineering Mechanics.
  • To promote code sharing and build best practices for code and data sharing within our community.

Requirements

  • Be the lead author of an abstract submitted to the EMI conference by the designated conference deadline and register to EMI 2025.
  • Be a full-time student at the time of abstract submission and the main contributor to the research.
  • Participate only in the ML in Mechanics student competition. The submission will be disqualified if the same paper is also submitted to another competition organized by a different EMI technical committee at the conference.

Deadlines

  • December 1, 2024 - Abstract submission deadline (EMI abstract deadline).
  • March 1, 2025 - Express interest in participating by emailing Prof. Audrey Olivier, [email protected]
  • April 1, 2025 - Submit full paper to Prof. Audrey Olivier, [email protected]
    • The paper should be submitted in two versions (original with authors and affiliations, and an anonymized version without author details)
    • Both versions should be 4 pages max, excluding references, and follow the appropriate template
  • April 1, 2025 – Students who submit a paper are also encouraged, but not required, to share the code accompanying their paper, with a walk-through video (5 min max). The video should provide the viewer with an overall idea of what the code does, what is the novelty in the research and code, and how one can access and use the code (code sharing).

Prizes

Tentatively three winners will be selected: two winners for best paper and one winner for best code, and will receive a certificate of commendation from the ML in Mechanics committee. The winners will be advertised on the committee’s website, in particular the video of the code winner will be shared (with their permission), providing a platform for dissemination of the student winners’ research.

Student finalists will be invited to submit an extended version of their papers for a by-invitation- only special collection on Journal of Engineering Mechanics (Example from previous years. )

Process

For the paper competition:

  • A committee of expert judges from the ML in Mechanics committee will review anonymized manuscripts. The review process will be double-blinded. The reviewers shall not have conflict of interest with the submissions.
  • The panel will select top papers (approximately 5 finalists) based on the review feedback.
  • The selected papers will be presented by student participants in the conference, date and location TBD.
  • Review committee will rank finalists, with input from ML in Mechanics committee members who are present at the special session and are not co- authors of the selected top papers. 

For the code sharing competition:

  • Expert judges will review the videos and provide feedback. The review process for the videos will be separated from the review process of the papers (either different judges, or judging will happen later in time), to preserve anonymity in the papers review process).
  • A single winner will be chosen directly based on the feedback.

The three final winners will be announced during the EMI conference at a student competition award ceremony.

Contact

Learn More-Machine Learning (.PDF)

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