PhD Forum

DESCRIPTION

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) includes a PhD student Forum on machine learning and data mining on the monday, 16.9.2019.

The purpose of this forum is to provide an environment specifically for junior PhD students to exchange ideas and experiences with peers in an interactive atmosphere and to get constructive feedback from senior researchers in machine learning, data mining, and related areas.

The focus of the discussion at the PhD Forum would be the work in progress of junior PhD students, with 1-3 years of research experience towards their dissertation.

During the forum, researchers with experience in supervising and examining doctoral students will participate and provide constructive feedback and advice to the participants.

It is an excellent opportunity for developing person-to-person networks to the benefit of the PhD students in their future careers.

TENTATIVE SCHEDULE

  • Invited “experience sharing” talks by senior researchers
  • Topic-based sessions with lightning talks from the students, and feedback from peers, the forum chairs and an established senior researcher
  • An optional and informal dinner with the forum participants (at own cost)
  • We highly recommend following the tutorial on “The ins and outs of reviewing: the good, the bad, and the ugly” as complementary activity

SUBMISSION INFORMATION

The ECMLPKDD PhD Forum spans various topics of data mining, machine learning, and work in related fields such as databases, artificial intelligence, statistics, information retrieval, multimedia and the Web. Topics in specific domains such as bioinformatics and the more general science informatics are also encouraged. Participants with interdisciplinary work across the areas are particularly welcome.

The PhD Forum is open for two types of submissions:

  • Accepted papers at ECMLPKDD (Research or ADS tracks): the authors of the research or ADS accepted papers (with a PhD student as main author) have the opportunity to summarize their work in the PhD forum.
  • Work-in-progress papers: we welcome submissions from PhD students at early and middle stages of their PhD work. As guideline, we recommend that the submission is structured to explain 1) what the problem is, 2) why it is important, 3) why existing solutions in literature are insufficient, 4) how your approach works, and 5) optionally some preliminary experiments (4 pages, max 6 pages).

The purpose is to obtain feedback regarding future plans, and technical feedback on topic and writing.

Note that:

  • For work in progress papers, the only criterion for acceptance is that the submission is clearly structured and written in English language, and that it is of sufficient maturity to enable the audience of the PhD forum to provide constructive feedback.
  • Papers will not be formally published. However, unless the authors opt-out, they will be made publicly available through the conference website.
  • All accepted papers will be presented in short format (5 minutes) + questions.
  • The first author must be a PhD student who is less than 4 years into his PhD. Co-authors may include the research advisors, committee members, and other collaborators as needed.
  • The PhD student must register for the conference and be present at the PhD Forum.
  • We will ask each PhD student to participate in the review process by reviewing one paper.

SUBMISSION INSTRUCTIONS

The papers must be written in English and formatted according to the Springer LNAI guidelines. For accepted ECMLPKDD papers, you send the PDF as submitted.

Author instructions and style files can be downloaded at: http://www.springer.de/comp/lncs/authors.html.

Papers should be submitted in PDF format using the online easychair submission system.

DEADLINES

Paper Submission Deadline:   14. June 2019 24. June 2019
Author Notification:   19. July 2019

CONTACT

In case you have any question, please do not hesitate to contact the PhD Forum Chairs (Tias Guns and Tassadit Bouadi) at phd_chairs[at]ecmlpkdd2019.org