The 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science – October 5 – 8, 2021 – Grasmere, Lake District, England – UK

LOD 2021


Computer Vision & Pattern Recognition Data Mining & Analysis Artificial Intelligence Evolutionary Computation Game Theory and Decision Science Information Theory Medical Informatics Operations Research Robotics Mathematical Optimization



The 7th  Annual Conference on machine Learning, Optimization and Data science (LOD) is an international conference on machine learning, computational optimization, big data and artificial intelligence. The conference includes invited talks, tutorials talks, specialised sessions, industrial tracks, demonstrations, oral and poster presentations of refereed papers.



The LOD has established itself as a premier interdisciplinary conference in machine learning, computational optimization, data science and AI. It provides an international forum for the presentation of original interdisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences.



We invite submissions of papers, abstracts, posters, talks and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference Post-Proceedings – Springer-Nature Lecture Notes in Computer Science (LNCS).



All papers must be submitted using EasyChair.



Paper Submission deadline: Friday April 9, 2021 (Anywhere on Earth)



Any questions regarding the submission process can be sent to conference organizers: lod@icas.cc.



Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF.



Types of Submissions



When submitting a paper to LOD 2021, authors are required to select one of the following four types of papers:




  • long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);

  • short paper: an extended abstract of novel work (max. 4 pages);

  • work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference;

  • abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference.



Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.

Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.



It is also possible to present the talk virtually (Zoom).