CALL FOR PAPERS

Special Session on

Dynamics, Differential Equations, and AI: Emerging Mathematical Frameworks

Under the International Conference on Mathematical Sciences and Computational Intelligence  (ICMSCI-2026)

February 20–22, 2026

The Department of Mathematics, P.G.D.A.V. College, University of Delhi, in collaboration with Faculty of Mathematical Sciences, University of Delhi, IIT Mandi and NIT Uttarakhand, cordially invites researchers, academicians, scientists, industry experts, and research scholars to submit their original and unpublished research papers for a Special Session on "Dynamics, Differential Equations, and AI: Emerging Mathematical Frameworks" under the International Conference on Mathematical Sciences and Computational Intelligence (ICMSCI-2026).

This special session explores the interplay between dynamical systems, differential equations, and artificial intelligence, highlighting emerging mathematical frameworks that bridge theory and data-driven methods. Topics include neural differential equations, operator learning, stability and bifurcation analysis in learning systems, and AI-informed modeling of complex dynamical phenomena. The session aims to foster dialogue between mathematicians and AI researchers on rigorous analysis, interpretability, and computational advances, emphasizing how modern AI both leverages and enriches classical tools from dynamics and differential equations.

Given the conference's emphasis on mathematics, scientific computing, and computational intelligence, the theme "Dynamics, Differential Equations, and AI: Emerging Mathematical Frameworks" is quite pertinent to ICMSCI-2026. An area of mathematical modelling and algorithm creation that is quickly developing is the integration of dynamical systems and differential equations with AI-driven techniques. Data-driven scientific computing is supported by these frameworks, which provide effective simulation, prediction, and control of intricate real-world systems. This topic is well suited to the goals of ICMSCI-2026 because it fosters interdisciplinary collaboration and tackles current issues in applied mathematics, computational methodologies, and AI-based solutions by bridging rigorous mathematical theory with contemporary computational intelligence techniques.

Topics of Interest

• Neural Differential Equations

• Stability and Lyapunov Methods

• Bifurcation and Nonlinear Dynamics

• Fractional Differential Equations

• Variational Methods & PINNs

• Geometric & Symplectic Methods

• Error Analysis in AI Numerics

• Inverse Problems & Identifiability

• Probabilistic & Measure-Theoretic Methods

Submission Guidelines

• Manuscript must follow the conference template. All submissions will undergo peer review.

• Maximum length: 9–16 pages including references.

• Accepted papers will be presented and included in the proceedings/special issue (details to follow).

Presentation Mode

Hybrid (Offline + Online). Selected papers will be presented through oral or poster sessions.

Important Dates

• Last date for abstract submission: January 15, 2026  , 👍Extended till: January 31, 2026

• Abstract acceptance notification: January 20, 2026, 👍 Extended till: February 05, 2026

• Last date of Registration: February 10, 2026

• Full-Paper Submission: March 10, 2026

Who Should Submit?

Faculty members, researchers, post-doctoral fellows, PhD scholars, postgraduate students, statisticians, engineers, data scientists, and industry professionals.

Submission Email : Authors must submit their abstracts/papers through the following link:

👉Click Here for Abstract Template

👉 Click Here For Abstract Submission

Kindly visit the registration page to register for the conference.

👉 Click Here to Visit Registration Page