2026 International Conference on Machine Learning on FinTech, Security and Privacy (MLFSP 2026)
Program Committee
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Jui-Hung Kao, Shih Hsin University, Taiwan
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Horng-Twu Liaw, Shih Hsin University, Taiwan
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Chien-Yeh Hsu, National Taipei University of Nursing and Health Sciences, Taiwan
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Yu-Chih Wei, National Taipei University of Technology, Taiwan
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Neil Y Yen, The University of Aizu, Japan
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Wei-Chen Wu, National Taipei University of Business, Taiwan
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Jiann-Fu Lin, Takming University of Science and Technology, Taiwan
The Goal of the Workshop
Dear Colleagues,
We cordially invite you to submit or recommend papers for the MLFSP 2026 Workshop: Machine Learning on FinTech, Security, and Privacy. This workshop will be held in 2026.
The workshop will provide a forum for researchers, educators, and professionals to share their discoveries, practices, and cutting-edge achievements in FinTech, security, and privacy. The workshop also aims to explore future trends, emerging applications, and related research directions in these fields. Your participation in the workshop will be an excellent opportunity to meet other researchers and discuss recent technological advancements.
Areas of interest include, but are not limited to, the following topics:
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Internet of Things & Internet of Everything
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Intelligent Systems for IoT
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Social Implications of IoT
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Healthcare IoT
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FinTech Services and Applications
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Network Effects of FinTech Solutions
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Blockchain Applications
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Machine Learning for FinTech
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Security and Privacy in Intelligent Computing
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Data Analytics for Business and Financial Applications
Publication
All accepted papers will be included in the conference proceedings as one of the Lecture Notes in Electrical Engineering (LNEE) series published by Springer (indexed by EI and SCOPUS). In addition, FC 2023 features a special publication model for authors to extend their conference works to high-quality journals and books after the conference. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, presentation, and clarity of exposition. Selected high-quality and presented papers, with more than 40% extension and revision, will be recommended to one of the top-rank journals.
Authors should submit a paper with 10 pages in length including all figures, tables, and references. Prepare your paper in the exact format as the sample paper for LNEE. Authors should submit their papers in Postscript, PDF, or MS Word format via e-mail to: kjhtw@mail.shu.edu.tw
Important Dates
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Paper Submission Deadline: March 30, 2026
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Acceptance Notification: May 25, 2026
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Camera Ready Due: June 20, 2026
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Registration Due: June 20, 2026