The 2nd International Conference on Machine Learning and Automation (CONF-MLA 2024) is a platform for the presentation of original research findings under relevant topics. It brings together professionals and encourages collaboration for the development of engineering and machine learning applications. Scientists and practitioners, especially young researchers, are welcome to share and discuss their latest progress, experiences, and inspirations in computing-related fields.

CONF-MLA 2024 looks for high-quality research discoveries, interdisciplinary studies, and state-of-the-art applications in various sectors of engineering and technology. The goal of this conference is to promote international academic discussion and cooperation in both theoretical and practical aspects. The speeches and papers in CONF-MLA 2024 hope to draw inspiration for further research in relevant fields.

Review Process

The submission will first be reviewed for its topic and length, then go through an originality check. The peer-review process will begin soon after the paper is found to be qualified. The paper will be sent to have a double-blind peer review by 2 reviewers. They will judge the paper based on the theme, coverage, innovation, integrity, depth, and language. If the paper is accepted, notification of acceptance and review comments will be sent to the author via email. The actual review time may be different in certain situations.


Conference Proceedings

Papers accepted by CONF-MLA 2024 will be published in conference proceedings and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Google Scholar, CNKI, Inspec, and other databases for indexing.

Important Dates

Conference Date

November 21, 2024

Submission & Payment

Type Early Bird Submission Regular Submission
Paper Submission July 20, 2024 November 14, 2024
Review Process 2 weeks 2 weeks
Revise & Acceptance 2 weeks 1 week
Registration & Payment 2 weeks 1 week
You can visit the following page for more details.
Submission Info or Registration Info

Previous Speakers

Marwan Omar, Ph.D.

Marwan Omar, Ph.D.

Associate Professor, Faculty of Information Technology and Management, Illinois Institute of Technology
Abdullahi Arabo, Ph.D.

Abdullahi Arabo, Ph.D.

Senior Lecturer, Computer Networks and Mobile Technology, University of the West of England
Alan Wang, Ph.D.

Alan Wang, Ph.D.

Associate Professor, Faculty of Medical and Health Sciences and Bioengineering Institute, University of Auckland
Roman Bauer, Ph.D.

Roman Bauer, Ph.D.

Assistant professor, Computer Science Research Centre, University of Surrey
Ali Darejeh, Ph.D.

Ali Darejeh, Ph.D.

Lecturer, School of Computer Science and Engineering, University of New South Wales (UNSW)
Hong Zhu, Ph.D.

Hong Zhu, Ph.D.

Professor, School of Engineering, Computing and Mathematics, Oxford Brookes University
You can get more details on this page

Partner Journals

CONF-MLA cooperates with the following journal and qualified papers have the opportunity to be recommended for publication in this journal.


The Archives of Advanced Engineering Science defines itself as a multidisciplinary journal that aims to provide a platform for scholars and operators to share their research work, perspectives and solutions in the field.

To absorb theoretical and practical outputs in the field, the Archives of Advanced Engineering Science is not limited to a specific aspect of science and engineering, it is devoted to a wide range of subfields in the fundamental and applied of engineering sciences. Articles of interdisciplinary nature are particularly welcomed. Papers for engineering sciences and interdisciplinary nature are particularly welcomed in which high-quality research will benefit from wide readership of academics and practitioners, not only high citation rates but also tangible industrial-related pathways to impact are achieved and so on.

The journal is a Gold Open Access journal, online readers don't have to pay any fee.

All Article Processing Charges (APCs) are waived until the end of 2023.