International Conference on Data-Driven Numerical Methods ICDDNM

Call For Papers

The ICDDNM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Numerical Methods , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Data-driven approaches in numerical methods

Machine learning applications in numerical analysis

Numerical methods for big data problems

Adaptive algorithms for data-driven simulations

Statistical methods in numerical modeling

Data assimilation techniques in numerical methods

Numerical optimization using data-driven techniques

Uncertainty quantification in data-driven models

High-dimensional data and numerical methods

Parallel computing for data-driven simulations

Real-time data processing in numerical analysis

Data-driven error analysis in numerical methods

Numerical methods for nonlinear data-driven problems

Integration of AI in numerical simulations

Data-driven approaches to PDEs

Visualization techniques for numerical data

Data-driven model reduction techniques

Numerical methods for dynamic data sets

Applications of data-driven methods in engineering

Future trends in data-driven numerical methods

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

👉 Confirm Your Participation Today

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

👉 Submit Your Paper Now

Hybrid Event