IEEE ICDM 2025: Undergraduate and High School Symposium
Time: Nov 11-15, 2025
Location: Washington D.C., USA
Introduction
We are delighted to announce the 2nd Undergraduate and High School Symposium, to be held as part of the IEEE ICDM 2025 Conference. This symposium aims to provide a platform for young researchers to showcase their innovative work in the field of data mining and related disciplines.
Scope of Topics
We invite submissions of original research papers from undergraduate and high school students on topics related to data mining, including but not limited to:
- Foundations, algorithms, models, and theory of data mining, including big data mining
- Machine learning, deep learning, and statistical methods for big data
- Mining heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data
- Data mining systems and platforms for analyzing big data, including methods for parallel and distributed data mining, federated learning, and their efficiency, scalability, security, and privacy
- Data mining for modeling, visualization, personalization, and recommendation
- Data mining for cyber-physical systems and complex, time-evolving networks
- Data mining with large language models
- Novel applications of data mining in data science, including big data analysis in social sciences, physical sciences, engineering, life sciences, climate science, web, marketing, finance, precision medicine, health informatics, and other domains
Submitted papers should present novel ideas, methodologies, algorithms, or applications in the realm of data mining. Papers will be evaluated based on their technical quality, novelty, relevance, and clarity of presentation.
Eligibility
- Undergraduate students and high school students pursuing an academic degree at the time of submission are eligible to submit papers as first authors.
- Each submission must have at least one student author, who should be the presenter if the paper is accepted.
- Co-authorship with faculty members or researchers is allowed, but the student must be the primary contributor to the work.
Submission Format Requirements
- Submissions must adhere to the IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to “formatting instructions” below: https://www.ieee.org/conferences/publishing/templates.html).
- Undergraduate student research papers should not exceed 6 pages, including all figures, tables, and references.
- High school student research papers should not exceed 5 pages, including all figures, tables, and references.
- Please highlight whether the first author is a high school or an undergraduate student in the author affiliation of your submitted paper.
Important Dates
- Paper Submission Deadline: Sep 1, 2025 11:59 PM AoE
- Notification of Acceptance: Oct 1, 2025
- Camera-Ready Paper Submission: Oct 15, 2025
- Symposium Date: TBD
How to Submit
- Please submit your papers electronically through the symposium’s submission portal: TBD.
- The review process is single-blind, meaning that reviewers remain anonymous, but authors are not.
- All papers accepted by this symposium will be included in the ICDM Workshop Proceedings published by the IEEE Computer Society Press, and made available at the Conference.
- Each accepted paper must have at least one author to register the conference and present the paper in person during the symposium day at the conference. ICDM offers a one-day registration rate for undergraduate and high school symposium attendees.
Program Committee Members
TBD
Program Agenda
TBD
Program Co-Chairs
Join us in shaping the future of data mining research by sharing your insights and discoveries at the Undergraduate and High School Symposium. We look forward to receiving your submissions and to an engaging and enriching event at IEEE ICDM 2025 Conference. For further information or any questions regarding submissions, please contact the Undergraduate and High School Symposium Co-Chairs, Dr. Xuan Wang and Dr. Yanjie Fu at ieee-icdm-2025-undergraduate-and-high-school-symposium-g@vt.edu.