International Conference on

Computational Approaches in Numerical Modeling (ICCANM-26)

19th – 20th Oct 2026 | Kisumu, Kenya | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
SDG 13
SDG 13 Climate Action
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Advancements in Finite Element Methods

This track focuses on the latest developments in finite element methodologies, emphasizing innovative techniques and applications. Researchers are invited to present studies that enhance the accuracy and efficiency of finite element analyses in various fields.

Track 02

Finite Difference Methods: Theory and Applications

This session aims to explore theoretical advancements and practical applications of finite difference methods in solving differential equations. Contributions that address stability, convergence, and error analysis are particularly welcome.

Track 03

Spectral Methods in Computational Mathematics

This track highlights the use of spectral methods in numerical modeling, showcasing their effectiveness in achieving high accuracy for differential equations. Papers discussing new algorithms and applications in engineering and physics are encouraged.

Track 04

Discretization Techniques for Complex Systems

This session covers innovative discretization techniques that address the challenges posed by complex systems in numerical modeling. Contributions that explore adaptive methods and their applications in real-world scenarios are sought.

Track 05

Iterative Methods for Large-Scale Problems

This track focuses on the development and analysis of iterative methods for solving large-scale numerical problems. Researchers are invited to present novel algorithms that improve convergence rates and computational efficiency.

Track 06

Convergence and Stability Analysis in Numerical Methods

This session emphasizes the importance of convergence and stability in numerical methods, inviting contributions that provide theoretical insights and practical implications. Papers that propose new criteria or frameworks for analysis are particularly encouraged.

Track 07

Error Analysis in Numerical Simulations

This track addresses the critical aspect of error analysis in numerical simulations, focusing on methodologies to quantify and minimize errors. Contributions that propose new error estimation techniques or case studies are welcome.

Track 08

Applied Mathematics in Engineering Solutions

This session explores the application of mathematical theories and numerical methods in engineering challenges. Researchers are encouraged to present case studies that demonstrate the impact of computational approaches on engineering design and analysis.

Track 09

Computational Mechanics: Methods and Applications

This track focuses on the intersection of computational mechanics and numerical methods, highlighting innovative approaches to modeling physical phenomena. Contributions that showcase applications in structural, fluid, and thermal analysis are invited.

Track 10

Optimization Methods in Numerical Modeling

This session explores various optimization techniques used in conjunction with numerical modeling to enhance performance and outcomes. Papers that discuss algorithmic advancements and their applications in diverse fields are encouraged.

Track 11

High-Performance Computing in Numerical Methods

This track highlights the role of high-performance computing in advancing numerical methods and simulations. Contributions that demonstrate the use of parallel computing and optimization for large-scale problems are particularly welcome.

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