Hybrid Conferencee

International Conference on Computational Methods for Industrial Applications (ICCMIA - 26)

19th - 20th August 2026 | Miami, USA

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Miami conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Miami, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Miami."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advanced Algorithms for Industrial Optimization

This track focuses on the development and application of advanced algorithms aimed at optimizing industrial processes. Contributions that demonstrate the practical implementation of these algorithms in real-world scenarios are particularly encouraged.

Track 02

Machine Learning Techniques in Industrial Applications

This session will explore the integration of machine learning techniques within various industrial contexts. Papers that showcase innovative applications and case studies are welcome.

Track 03

High-Performance Computing for Simulation and Modeling

This track emphasizes the role of high-performance computing in enhancing simulation and modeling capabilities. Participants are invited to present research that leverages computational power to solve complex industrial problems.

Track 04

Statistical Modeling in Industrial Decision Support

This session aims to highlight the use of statistical modeling techniques in supporting decision-making processes in industry. Contributions that illustrate the impact of these models on operational efficiency are encouraged.

Track 05

Numerical Methods for Engineering Applications

This track is dedicated to the exploration of numerical methods and their applications in engineering disciplines. Papers that address novel numerical techniques and their effectiveness in solving engineering problems are sought.

Track 06

Data Science Innovations for Industrial Efficiency

This session will focus on innovative data science approaches that enhance efficiency in industrial applications. Submissions that demonstrate the transformative power of data analytics in industry are particularly welcome.

Track 07

Risk Analysis and Management in Computational Contexts

This track addresses the methodologies for risk analysis and management using computational techniques. Papers that provide insights into quantitative risk assessment and mitigation strategies are encouraged.

Track 08

Computational Engineering: Bridging Theory and Practice

This session aims to bridge the gap between theoretical computational methods and their practical engineering applications. Contributions that showcase successful case studies or innovative methodologies are invited.

Track 09

Optimization Techniques in Supply Chain Management

This track focuses on optimization techniques specifically tailored for supply chain management. Researchers are encouraged to submit papers that present novel approaches to enhance supply chain efficiency.

Track 10

Artificial Intelligence in Industrial Automation

This session explores the application of artificial intelligence in automating industrial processes. Contributions that demonstrate the effectiveness of AI solutions in improving automation outcomes are welcome.

Track 11

Quantitative Methods for Performance Improvement

This track highlights the use of quantitative methods to drive performance improvement in various industrial sectors. Papers that provide empirical evidence of performance enhancements through quantitative analysis are encouraged.