International Conference

MAIA 2025 Conference

Welcome to MAIA 2025 Conference

This conference explores the intersection of mathematics, artificial intelligence, and their wide-ranging applications in designing intelligent systems for science, engineering, education, and digital innovation. It emphasizes the pivotal role of mathematical foundations in developing AI technologies that are explainable, efficient, and socially relevant.

The theme of this first edition is to unite researchers and practitioners around both theoretical and applied perspectives, rethinking the connections between advanced mathematics, AI, e-learning, and pedagogical innovation through an interdisciplinary and sustainable approach.

Important Dates
Extended Abstract Submission
Oct 29, 2025
Nov 06, 2025
Nov 10, 2025
Notification of Acceptance
Nov 11, 2025
Full Paper Submission
Nov 10, 2025
Nov 30, 2025
Dec 05, 2025
Final Payment Deadline
Dec 05, 2025
Speakers
ADLY Samir
ADLY Samir
University of Limoges, France
El Afia Abdellatif
El Afia Abdellatif
Mohammed V University, Morocco
Hachimi Hanaa
Hachimi Hanaa
Ibn Tofail University, Morocco
Luciano Sanchez Ramos
Luciano Sanchez Ramos
University of Oviedo, Spain
Enrique Zuazua
Enrique Zuazua
University of Deusto, Spain
Mudasir Younis
Mudasir Younis
Sakarya University, Türkiye

Publication with Springer – LNNS Series

Springer LNNS Series

The Lecture Notes in Networks and Systems (LNNS) series publishes the latest developments in the fields of networks and systems, with a strong emphasis on rapid, high-quality dissemination. Original research contributions presented in conference proceedings and post-proceedings volumes form the core of the LNNS series.

LNNS covers all aspects, subfields, and emerging challenges in Networks and Systems, providing a recognized platform for cutting-edge research in engineering, mathematics, artificial intelligence, complex systems, data science, and applied computational sciences. All accepted and presented papers of MAIA 2025 will be included in a dedicated LNNS volume, ensuring strong international visibility through major indexing databases.

Explore the Springer LNNS Series
Partners