The conference includes a PhD student forum on machine learning and knowledge discovery.
The purpose of this forum is to provide an environment for PhD students, at any stage of their doctoral studies, to present their work and get constructive feedback from senior researchers in machine learning, knowledge discovery, and related areas.
The forum will include a keynote or panel on career paths, and a poster session for the students to present their work.
In-person attendance is required for the PhD forum, i.e., no remote attendance is possible. Accepted posters whose authors cannot attend in person will be removed from the final list.
Submission Information and Instructions
The ECML PKDD 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 submission requires a title and an extended abstract (up to 2000 characters), briefly describing the work. The abstract can be either on a single paper (possibly but not necessarily accepted at the main conference), or on the whole doctoral dissertation, including planned work.
In case of acceptance, the work related to the abstract will be presented as a poster at the PhD student forum.
Submission link: https://forms.gle/9xDyH1uXAfxmohcV9
Important dates
- Submission deadline: June 19, 2023
- Author notification: July 7, 2023
- PhD Forum: September 18, 2023
PhD Forum Chairs
Yllka Velaj
University of Vienna