Embedded Files
To further strengthen the scientific impact of YAMC and to support its continued evolution towards high-quality research standards, the Organising and Program Committees are pleased to announce a peer-reviewed proceedings volume associated with YAMC 2026.
Accepted contributions will be published in a dedicated volume of the Springer Nature series Proceedings in Mathematics & Statistics (PROMS). This internationally recognised series provides a well-established venue for the dissemination of conference-based research in applied mathematics and related fields, and is indexed in major databases including Scopus, Mathematical Reviews, zbMATH Open, and EI Compendex.
The proceedings aim to collect original and high-quality contributions presented at YAMC, offering participants the opportunity to disseminate both well-developed research results and ongoing, promising investigations within a rigorous and internationally visible publication framework.
To allow participants to identify the most suitable format for disseminating their research, the proceedings will accommodate two types of submissions:
Full papers (up to 15 pages + references), for complete and mature contributions
Short papers (up to 8 pages + references), for focused, emerging, or exploratory work
Page limits include all content (main text, figures, tables, and appendices). References are the only permitted addition beyond the page limit.
This dual-format structure is designed to support a broad spectrum of contributions while ensuring an appropriate evaluation standard for each type of submission.
The proceedings aim to strike a balance between accessibility and scientific rigour, providing an opportunity for early-career researchers to present their work in a structured, peer-reviewed environment while benefiting from direct interaction within the conference setting.
Submission must be prepared according to Springer Guidelines for contributed volumes, using the SNmult template (available also on Overleaf), and submitted throgh the Springer Meteor Submission System.
Authors are also required to comply with Springer Nature's policies on research integrity, including ethical standards and guidelines on the use of AI tools.
Important Dates
Important Dates
(all times are Anywhere On Earth, UTC-12)
(all times are Anywhere On Earth, UTC-12)
Paper Submission:
Early Reject:
First Decision Notification:
Paper Rebuttal / Revised submission:
Final Notification:
Camera Ready Submission (Accepted Papers):
Preliminary Proceedings Available:
📌 Conference dates:
Final Minor Correction Notification:
Final Camera Ready Deadline:
May 31th, 2026 ‼️
June 7th, 2026
July 19th, 2026
August 2nd, 2026
August 30th, 2026
September 6th, 2026
September 13th, 2026
September 14-18, 2026
September 27, 2026
October 4th, 2026
Review Process
Review Process
All submissions will undergo a rigorous multi-stage single-blind peer-review process, designed to ensure high scientific quality and fairness. Review will be divided between Initial Screening, Main Review Phase, Rebuttal, Evaluation, and a Final Stage. For more details, we refer to the full CFP.
Scope & Topics
Scope & Topics
The proceedings will reflect the interdisciplinary nature of YAMC, bringing together applied mathematics, statistics, and computer science. To ensure both coherence and breadth, the proceedings are organised into four main thematic tracks.
Each submitted manuscript is required to indicate one primary thematic track, which will be used to assign the paper to the corresponding Area Editor and to ensure an appropriate and expert review process.
The thematic tracks and representative topics include, but are not limited to, the following.
Track 1 — Artificial Intelligence and Machine Learning
Supervised, unsupervised, self-supervised learning
Deep learning architectures and training methodologies
Reinforcement learning for sequential decision-making
Learning theory and generalisation analysis
Explainable and trustworthy AI
Physics-informed and hybrid learning models
AI for scientific computing and engineering applications
Quantum Machine Learning
Track 2 — Numerical Analysis and Numerical Modelling
Numerical methods for differential and integral equations
Discretisation techniques
Stability, convergence, and error analysis
Multiscale and multiphysics modelling
Scientific and high-performance computing
Computational methods for inverse problems
Numerical linear algebra and preconditioning techniques
Surrogate modelling
Track 3 — Statistics and Optimisation
Bayesian methods and probabilistic modelling
Stochastic processes and stochastic optimisation
High-dimensional statistics
Optimisation algorithms (convex, non-convex, constrained optimisation)
Optimal control and variational methods
Statistical learning theory and uncertainty quantification
Optimisation for machine learning and data analysis
Game Theory and Nash Equilibrium
Track 4 — Cryptography, Security, and Privacy
Cryptographic primitives and protocols
Symmetric and asymmetric cryptography
Post-quantum and quantum-resistant cryptography
Secure computation and privacy-preserving techniques
Authentication, key management, and access control
Security of machine learning and data-driven systems
Applied cryptography and real-world deployments
Blockchain technology
DeFi
General Submission Philosophy
General Submission Philosophy
Contributions that combine theoretical soundness with practical relevance, experimental validation, or reproducible computational results are particularly encouraged.Interdisciplinary submissions bridging multiple tracks are welcome, provided that a primary track is clearly identified.Authors are encouraged to provide code, datasets, or supplementary material to support reproducibility.
Requirements
Requirements
The proceedings are primarily intended for early-career researchers participating in the conference.
As a consequence, at least one author (preferably the corresponding author) must be a registered participant of YAMC 2026 by the camera-ready submission deadline.
In general, every registration covers up to a long and a short paper.
Authors of accepted papers are expected to present their work at the conference during the contributed talk sessions.
Senior researchers may be included through invited contributions or joint work, provided that the spirit and objectives of YAMC are respected.
Program Committee
Program Committee
Program Committee Chairs
Program Committee Chairs
Artificial Intelligence and Machine Learning
Numerical Analysis and Numerical Modelling
Statisics and Optimisation
Cryptography, Security, and Privacy
Alessandro Marchetti (University of Florence, Italy)
Caterina Millevoi (University of Padua, Italy)
Gennaro Auricchio (University of Padua, Italy)
Elia Onofri (KAUST, Saudi Arabia)
Program Committee
Program Committee
Valerio Ardizio (KU Leuven, Belgium)
Elena Bachini (University of Padua, Italy)
Alessandro Corbetta (Eindhoven University of Technology, Netherlands)
Giuseppe Alessio D'Inverno (Université Paris Saclay, France & SISSA, Italy)
Nathaneel Denis (KAUST, Saudi Arabia)
Luca Ferrarini (Université Sorbonne Paris Nord)
Alen Kushova (University of Freiburg, Germany)
Gabriele Loli (Università degli Studi di Pavia, Italy)
Marta Menci (Università Campus Bio-Medico di Roma, Italy)
Lorenzo Neva (Politecnico di Torino, Italy)
Konstantin Riedl (Oxford University, United Kingdom)
Alessandro Scagliotti (Technical University of Munich, Germany)
Page updated
Google Sites
Report abuse