The IEEE BigData 2024 PhD Forum is an enriching platform designed for PhD students at all stages of their doctoral journey to showcase their dissertation plans and preliminary results to a diverse audience. This initiative fosters an environment where students can receive valuable feedback from senior researchers, engage in discussions with peers, and explore opportunities for potential collaborations.

Submission to the IEEE BigData PhD Forum is exclusively open to actively enrolled PhD students. Submissions encompass a wide spectrum of topics within big data research, reflecting the broad scope of the IEEE BigData 2024 Conference. This includes topics such as big data science and foundations, infrastructure, management, search and mining, learning and analytics, data ecosystems, foundation models, and applications across various domains like science, engineering, medicine, finance, business, and more.

Accepted papers will be published in the conference proceedings. A selected group will be invited to present their work orally during the Forum, while others will have the opportunity to present through poster sessions.

Moreover, attendees can apply for the IEEE BigData travel award. Registration fees will be waived for all travel awardees, and travel expenses may be partially covered depending on available funds and the number of recipients.

The Forum will also feature a panel discussion focusing on diverse career pathways and research trajectories spanning academia and industry. This session offers an avenue for Ph.D. students to pose questions and seek advice on various aspects of doctoral studies and future career prospects.

Please note that physical presence is mandatory for participation in the PhD Forum; remote attendance is not allowed.

Important Dates

  • Submission deadline: TBD
  • Notification of acceptance: TBD
  • Forum date: TBD

Application Submission

Applications must be submitted using the following submission portal: https://wi-lab.com/cyberchair/2024/bigdata24/index.php

Application Material

Papers

Submitted papers should be 2 pages long plus a possible 1 page only for references, and adhere to the IEEE Conference Proceeding templates in a two-column format. Detailed guidelines for the templates can be accessed via this link: IEEE Templates. The submission should contain the complete list of authors and their affiliations (i.e., not be anonymous). The student must be the first author.

Once a paper has been submitted, no changes to the list of authors will be permitted. Additionally, each Ph.D. student is restricted to a single submission. Furthermore, we only consider submissions that present some preliminary results and on topics relevant to big data research.

CV

Please include a CV limited to 1 page. List your background, research publications, and other experiences (education, employment, open-source projects, etc.). The list of publications must include venue, year, and author list.

Personal Statement

Please submit a 1-page personal statement. The personal statement should contain information about your research direction, potential thesis topics, your past achievements (publications, internships, teaching, etc.), and what advice/insights/ideas you hope to gain from the Ph.D. Forum. It is recommended to mention some of the questions that you might be interested in asking during the panel session at the Ph.D. Forum.

Review Criteria

Applications will be reviewed according to the following criteria:

  • Clarity and completeness of the submission packet;
  • Significance of the student’s research contribution in the submitted research paper;
  • Utility of the Ph.D. Forum participation and mentorship in support of the student’s continuing studies related to big data;
  • Assessment of how the student can contribute to others participating in the PhD Forum.

Additional Information

Please refer to this page for more updates regarding the PhD Forum at IEEE BigData 2024. For additional questions, please email PhD Forum co-chairs

  • Feng Chen (Feng.Chen@UTDallas.edu)
  • Shuhan yuan (shuhan.yuan@usu.edu)