Hybrid Conferencee

International Conference on Computational Optimization and Simulation Techniques (ICCOST - 26)

10th - 11th October 2026 | Berlin, Germany

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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 Berlin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Berlin, 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 Berlin."
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 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Computational Optimization

This track focuses on the latest methodologies and techniques in computational optimization. Researchers are invited to present their findings on novel algorithms and their applications across various domains.

Track 02

Simulation Techniques in Applied Mathematics

This session will explore innovative simulation techniques employed in applied mathematics. Contributions that demonstrate the effectiveness of these techniques in solving real-world problems are particularly encouraged.

Track 03

Algorithms for Data Science Applications

This track aims to highlight cutting-edge algorithms that enhance data science methodologies. Papers discussing the integration of these algorithms in practical applications are welcome.

Track 04

Machine Learning and Artificial Intelligence in Computational Science

This session will delve into the intersection of machine learning, artificial intelligence, and computational science. Contributions that showcase the application of these technologies in solving complex computational problems are sought.

Track 05

Probability and Statistical Modeling Techniques

This track invites discussions on advanced probability theories and statistical modeling techniques. Papers that illustrate their application in various fields, including finance and healthcare, are encouraged.

Track 06

High-Performance Computing for Optimization Problems

This session will focus on the role of high-performance computing in addressing optimization challenges. Researchers are invited to share their experiences and results from utilizing HPC resources.

Track 07

Numerical Methods in Computational Science

This track will cover the development and application of numerical methods in computational science. Contributions that address the challenges and solutions in numerical analysis are highly encouraged.

Track 08

Quantitative Analysis in Risk Management

This session will explore quantitative analysis techniques used in risk management. Papers that present innovative approaches to risk assessment and mitigation strategies are welcome.

Track 09

Predictive Analytics in Decision Making

This track focuses on the role of predictive analytics in enhancing decision-making processes. Contributions that demonstrate the impact of predictive models in various sectors are encouraged.

Track 10

Operations Research and Optimization Strategies

This session will delve into operations research methodologies and their optimization strategies. Researchers are invited to present their work on practical applications and theoretical advancements.

Track 11

Computational Methods for Research Applications

This track invites papers that discuss computational methods and their applications in diverse research fields. Contributions that bridge theory and practice are particularly welcome.