IEEE FMLDS 2026: International Conference on Future Machine Learning and Data Science
Researchers, academicians, industry professionals, and students are invited to submit their research papers to the 2026 IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2026). The conference will take place 20–23 November 2026 at the University of Hyogo, Kobe, Japan.
FMLDS 2026 aims to bring together international experts working in machine learning, artificial intelligence, computer vision, robotics, and data science. The conference will feature keynote speeches from globally recognized scholars and industry leaders and will provide a platform for exchanging innovative ideas and research findings in the rapidly evolving fields of AI and data-driven technologies.
Conference Website
https://fmlds.org/2026/
About FMLDS 2026
The IEEE International Conference on Future Machine Learning and Data Science focuses on emerging trends and future directions in machine learning technologies and data science applications.
The conference aims to foster collaboration among researchers and practitioners from academia and industry who are working on advanced machine learning algorithms, intelligent systems, and real-world data science applications.
FMLDS 2026 will include keynote sessions, technical paper presentations, industry exhibitions, and special sessions addressing interdisciplinary challenges in AI and data-driven innovation.
Conference Topics
FMLDS 2026 invites original research papers in the following areas, including but not limited to:
- Future Machine Learning Technologies
- Advancements in Machine Learning
- Machine Learning in Engineering Applications
- Pattern Recognition
- Computer Vision and Graphics
- Robotics and Automation
- Bioinformatics and Biomedical Applications
- Data Classification and Regression
- Big Data Analytics and Data Science
- Cybersecurity and Privacy for Big Data
- Knowledge Discovery and Data Integration
- Machine Learning in Social Media Networks
- Machine Learning in Finance and Data Mining
- Machine Learning in Internet of Things
- Machine Learning in Language Models
These topics cover both theoretical advances and practical applications of machine learning across different domains.
Special Sessions
FMLDS 2026 will also host several specialized sessions focusing on emerging application areas.
- Application of Machine Learning and Artificial Intelligence in Transportation Systems and Safety
- Application of Machine Learning in Engineering
- Machine Learning Applications in Biomedical and Bioinformatics
- Machine Learning for Empathic Computing
Important Dates
Researchers planning to submit papers should note the following deadlines.
- Paper Submission Deadline: 30 April 2026
- Notification of Acceptance: 7 July 2026
- Early Bird Registration Opens: 7 July 2026
- Camera Ready Paper Submission: 15 October 2026
- Conference Dates: 20–23 November 2026
Paper Submission
Authors are invited to submit original and unpublished research papers with a length of 4–6 pages.
Papers should be submitted through the Microsoft CMT conference management system.
Accepted papers will be presented in one of the following formats.
- Oral Presentation
- Poster Presentation
- Virtual Presentation (Zoom)
Publication and Indexing
All accepted papers that are registered and presented at the conference will be submitted for inclusion in the IEEE Xplore Digital Library, subject to IEEE quality requirements.
Papers included in IEEE Xplore are typically indexed in major academic databases including:
Scopus
Other leading international research indexing platforms
Awards and Grants
FMLDS 2026 will recognize outstanding research contributions through several awards and grants.
- Limited Travel Grants (Partial or Full)
- Limited Registration Grants (Partial or Full)
- Best Paper Award
- Best Student Paper Award
- Best Women in Engineering Paper Award
These awards encourage participation from students, early-career researchers, and researchers from developing regions.
Contact Information
For further information about the conference, submission guidelines, or sponsorship opportunities, contact:
Dr Rezaul Bashar
Email
M.Bashar@westernsydney.edu.au
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