To further strengthen the scientific impact of YAMC – Young Applied Mathematicians Conference and to continue its evolution towards high-quality research standards, the Organising Committee is pleased to announce that YAMC 2026 is planning a peer-reviewed proceedings volume associated with the conference.
The proceedings are intended to collect original, high-quality contributions presented at YAMC, offering participants the opportunity to disseminate complete and well-founded research results within an internationally visible publication venue.
To allow participants to identify the most suitable format for disseminating their research, the proceedings will accommodate two types of submissions: full papers and short papers. This dual-format structure is intended to support a broad range of contributions, spanning from mature and comprehensive studies to more focused or exploratory works.
The details of the proceedings are currently under development and this page should be regarded as work in progress.
Concrete updates will be published as soon as they become available.
At present, the Organising Committee is actively working towards a collaboration with an internationally indexed proceedings or journal venue, with the goal of ensuring international visibility and recognition within major bibliographic databases (Scopus, WoS, ...)
No final publication venue has been confirmed yet.
Paper Submission:
Paper Notification:
Paper Rebuttal:
Final Notification:
Final Pre-Proceedings Papers:
📌 Conference dates:
12th April 2026 ‼️
14th June 2026
29th June 2026
16th August 2026
30th August 2026
14-18 September 2026
All submitted papers will undergo a full peer-review process with at least three evaluations by independent reviewers.
A rebuttal period is scheduled prior to the final response.
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
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 techniquesÂ
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
Bayesian 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
Contributions that combine theoretical soundness with practical relevance, experimental validation, or reproducible computational results are particularly encouraged. Interdisciplinary submissions that bridge multiple thematic tracks are welcome, provided that a primary track is clearly identified.
The proceedings are primarily intended for early-career researchers participating in the conference.
As a consequence, the corresponding author of each submitted contribution is required to be a participant of the conference.
Senior researchers may be included through invited contributions or joint work, provided that the spirit and objectives of YAMC are respected.
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)
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 (UniversitĂ degli Studi di Pavia, Italy)
Marta Menci (UniversitĂ 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)