Hybrid Conference (In Person / Virtual)

International Conference on Data-Driven Numerical Methods (ICDDNM - 27)
2nd - 3rd March 2027 , Vienna, Austria
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Call For Papers

The ICDDNM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Numerical Methods, encouraging participation from emerging researchers and fostering academic growth.

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

01
Data-driven approaches in numerical methods
02
Machine learning applications in numerical analysis
03
Numerical methods for big data problems
04
Adaptive algorithms for data-driven simulations
05
Statistical methods in numerical modeling
06
Data assimilation techniques in numerical methods
07
Numerical optimization using data-driven techniques
08
Uncertainty quantification in data-driven models
09
High-dimensional data and numerical methods
10
Parallel computing for data-driven simulations
11
Real-time data processing in numerical analysis
12
Data-driven error analysis in numerical methods
13
Numerical methods for nonlinear data-driven problems
14
Integration of AI in numerical simulations
15
Data-driven approaches to PDEs
16
Visualization techniques for numerical data
17
Data-driven model reduction techniques
18
Numerical methods for dynamic data sets
19
Applications of data-driven methods in engineering
20
Future trends in data-driven numerical methods

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.