About CONF-MLA


The 4th International Conference on Machine Learning and Automation (CONF-MLA 2026) 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, practitioners, researchers, and students are welcome to share and discuss their latest progress, experiences, and inspirations in computing-related fields.

CONF-MLA 2026 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 2026 hope to draw inspiration for further research in relevant fields.

CONF-MLA 2026 is a hybrid conference, establishing an online session and welcoming participants from all countries and regions to join whenever and wherever possible. Meanwhile, to facilitate broader academic exchange and knowledge sharing, CONF-MLA 2026 will host multiple on-site symposium series. Authors are welcome to submit their manuscripts to the symposium series, each of which will independently handle the submission and review process.

Call For Papers

The topics of interest include but are not limited to:

Machine Learning

  • Deep and Reinforcement Learning
  • Theories and Applications
  • Computational Optimization
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Automation

  • Computer Vision
  • Time Series Analysis
  • IoT
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Robotics and Intelligent Systems

  • Autonomous Vehicles
  • Robotic Vision
  • Drones
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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.

Publication

All papers submitted to the conference will be assigned to the respective symposium committees based on factors such as submission date and topic relevance. Each symposium committee will then coordinate the peer review process, ensuring rigorous evaluation and making final decisions on acceptance and publication.

Conference Proceedings

Accepted papers of CONF-MLA 2026 will be published in conference proceedings according to the research field, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Google Scholar, CNKI and other databases for indexing. The indexing result will be determined by the conference proceedings in which the paper is included.

* Accepted manuscripts will be submitted to the publisher on a rolling basis. Early-registered papers are expected to be published and printed earlier.

Important Dates

Venue Final Submission Date Notification of Acceptance
Online Session / November 19, 2026 /
Symposium November 12, 2026 November 19, 2026 7-20 workdays
You may visit the following pages 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