Conference Information

FMLDS 2026: IEEE International Conference on Future Machine Learning and Data Science

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Submission Date:
2026-04-30
Notification Date:
2026-07-07
Conference Date:
2026-11-20
Location:
Kobe, Japan
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Call For Papers

FMLDS 2026 (IEEE International Conference on Future Machine Learning and Data Science) is an academic conference held in Kobe, Japan on 2026-11-20. The paper submission deadline is 2026-04-30. Acceptance notifications are sent on 2026-07-07.

2026 IEEE International Conference on Future Machine Learning and Data Science (FMLDS2026) -------------------------------------------------------------------------------- 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 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 are expected to be published on IEEE Xplore 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
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