2026 IEEE International Conference on Future Machine Learning and Data Science (FMLDS2026)
Location: Kobe, Japan
Dates: November 20-23, 2026
Website: https://fmlds.org/2026/
E-mail: info@fmlds.org
Conference Format: Online and In-person

2026 IEEE International Conference on Future Machine Learning and Data Science (FMLDS2026)
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FMLDS2026 will bring international experts in Future Machine Learning Technologies, Artificial Intelligence, Computer Vision, Machine Learning Applications in Engineering and Data Science. It will feature keynote addresses from prominent world industry and academic leaders in Machine Learning and Data Science. It will span a wide spectrum of areas within Machine Learning and Data Science research, providing a platform for established and emerging researchers as well as industry practitioners to exchange insights and innovative ideas. The conference will be conducted in a hybrid format, accommodating both in-person and virtual participation.

FMLDS2026 will be hosted at the University of Hyogo in Japan’s Hyogo Prefecture. Kobe, the capital of Hyogo, is the country’s seventh-largest city and the third-largest port after Tokyo and Yokohama. Located in the Kansai region on the northern shore of Osaka Bay, Kobe is renowned for its Kobe beef.

CONFERENCE TRACK:
Future Machine Learning
Advancements of Machine Learning
Data Science and Big Data
Data Classification and Regression
Pattern Recognition
Computer Graphics
Motion and Tracking
Bioinformatics and Biomedical Image Analysis
Cyber Security and Privacy for Big Data
Knowledge Discovery, Integration and Transformation
Social Media, Social Network and Social Data
Financial Machine Learning and Data Mining
Internet of Things (IoT)
Machine Learning in Language Models

SPECIAL SESSIONS:
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

PRESENTATION MODE:
Face to Face
Virtual (Zoom)
Poster

WHO CAN JOIN:
As Presenter: If you want to share you latest research results by giving presentation without publishing papers, please submit your abstract (300-400 words) to info@fmlds.org
As Listener: You are also warmly welcomed to take part in ACAI 2026 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and to guarantee the quality of ACAI 2026, we cordially invite experts and scholars join us as a reviewer.

GRANT:
Limited Travel and Registration.

KEY DATES:
Submission Due: 30 April, 2026
Notification: 07 July, 2026
Early Birds Registration opens: 07 July, 2026
Camera ready due date: 15 October, 2026

REGISTRATION:
Non IEEE Author: JPY ¥77,500
IEEE Author: JPY ¥70,000
Student Non IEEE: JPY ¥65,000
IEEE Student: JPY ¥55,000
Participants: JPY ¥65,000
Virtual Presentation: JPY ¥30,000
Conference Dinner: JPY ¥15,000

PUBLICATIONS:
The conference proceedings will be published to IEEE Xplore with Scopus Indexing


SPEAKERS:
Professor Toshio Fukuda, Nagoya University, Japan
Professor Yulan Guo, Sun Yat-sen University, China
Professor Kaoru Ota, Tohoku University, Japan
Professor Mohammed Nazim Uddin, Vice Chancellor, East Delta University, Bangladesh

ORGANIZING CHAIRS:
Professor Essam Rashed, University of Hyogo, Japan
Professor Mohamed Mabrok, Qatar University, Qatar

TECHNICAL CHAIRS:
Professor Adel Ali Al Jumaily, Melbourne Institute of Technology, Australia
Professor Rafiqul Islam, Charles Stuart University, Australia
Dr Syed Shamsul Islam, Edith Cowan University, Australia

INDUSTRY CHAIRS:
Professor Tesuya Saito, Globiz Professional University, Japan
Professor Jerry Yu, George Washington University, USA

Contact: info@fmlds.org