The 5th International Conference on Machine Learning and Data Engineering
Call for Workshops
ICMLDE 2026
November 27–28, 2026 · India
The ICMLDE 2026 Organizing Committee invites proposals for half-day workshops on established and emerging topics in the areas of Machine Learning and Data Engineering. The goal of ICMLDE 2026 workshops is to provide a forum for researchers and practitioners from academia and industry in related domains to share novel ideas, research challenges and issues, and innovative next-generation applications — with the intent of stimulating interesting research in this area.
Proposals can be in any established or emerging domain related to Machine Learning and Data Engineering. Proposals are welcome in interdisciplinary areas overlapping with the main conference themes, as well as emerging areas such as Generative AI, Agentic AI, Edge AI, and Responsible AI.
In addition to half-day workshops, we also invite proposals for special sessions of 1.5-hour duration, aimed at bringing together people interested in specific themes to discuss and plan next steps (collaboration, funding opportunities, etc.).
Paper presentations and invited talks on a focused theme.
Discussion-focused — not for paper presentations or invited talks.
Special sessions are not for paper presentations and invited talks. Toward the end of the session, organizers (or subgroups) should summarize the discussion and present next steps (plan of action) to participants. We encourage submissions on niche topics such as Agentic AI, Responsible AI, and Generative AI.
The conference will provide all the necessary facilities for organizing the workshops. Workshop chairs will autonomously organize their workshops, including the workshop program committee. Subject to the quality of accepted papers and reviewers' comments, the organizing committee aims to append a few of the good, accepted papers to the main proceedings.
Workshop proposals should be a maximum of three pages and contain the following information:
Accepted workshop papers will be published by Elsevier in the open-access Procedia Computer Science journal — indexed in Scopus, Web of Science, INSPEC, Engineering Village, and the ACM Digital Library, and made freely available on ScienceDirect.
