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Hybrid Event

1st - 2nd September 2026 | Munich, Germany

International Conference on Applied Mathematical Modeling in Industrial Processes (ICAMMIP - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 12 — Responsible Consumption and Production
Explore All Session Tracks
Track 01
Innovative Approaches in Applied Mathematics

This track focuses on novel methodologies and techniques in applied mathematics that enhance problem-solving in industrial contexts. Contributions may include theoretical advancements and practical applications across various sectors.

Track 02
Mathematical Modeling in Engineering Systems

Participants will explore the development and application of mathematical models in engineering systems to optimize performance and efficiency. Emphasis will be placed on case studies that demonstrate the impact of modeling on real-world engineering challenges.

Track 03
Statistical Methods for Industrial Process Optimization

This session invites papers that discuss the integration of statistical methods in the optimization of industrial processes. Topics may include quality control, process improvement, and data-driven decision-making.

Track 04
Computational Techniques in Applied Mathematics

This track highlights advancements in computational techniques that facilitate the application of mathematical models in industrial processes. Contributions should focus on algorithm development and numerical methods that enhance computational efficiency.

Track 05
Risk Analysis and Management in Industrial Applications

This session addresses the role of mathematical modeling in assessing and managing risks within industrial processes. Papers should explore quantitative methods for risk evaluation and mitigation strategies.

Track 06
Optimization Strategies in Operations Research

This track invites discussions on optimization strategies derived from operations research principles to improve industrial processes. Submissions may include theoretical developments and empirical studies demonstrating successful applications.

Track 07
Control Algorithms for Dynamic Systems

This session focuses on the design and implementation of control algorithms for managing dynamic industrial systems. Papers should present innovative approaches that enhance system stability and performance.

Track 08
Applied Mechanics and Mathematical Modeling

Participants will examine the intersection of applied mechanics and mathematical modeling in solving complex industrial problems. Contributions may include theoretical insights and practical applications in mechanical systems.

Track 09
Numerical Methods for Industrial Applications

This track emphasizes the development and application of numerical methods tailored for industrial processes. Papers should demonstrate how these methods can solve real-world problems effectively.

Track 10
Systems Theory in Industrial Process Design

This session explores the application of systems theory in the design and analysis of industrial processes. Contributions should focus on holistic approaches that consider interdependencies within complex systems.

Track 11
Innovative Applications of Probability and Statistics

This track invites papers that showcase innovative applications of probability and statistics in various industrial contexts. Emphasis will be placed on how these applications contribute to improved decision-making and operational efficiency.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.