International Conference on High-Performance Simulation and Scientific Computing

ICHPSSC

20th Jan – 21st Jan 2027 Tampere, Finland

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Registration Summary

Conference ICHPSSC

Date 20th Jan – 21st Jan 2027

Location Tampere, Finland

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in High-Performance Simulation Techniques +

This track focuses on the latest methodologies and technologies in high-performance simulation. Contributions that demonstrate innovative approaches to enhance simulation efficiency and accuracy are encouraged.

SDG 9 SDG 11

02 Machine Learning Applications in Computational Science +

This session explores the integration of machine learning techniques within computational science frameworks. Papers that showcase novel applications and methodologies that leverage machine learning for scientific discovery are welcome.

SDG 4 SDG 9

03 Optimization Algorithms for Complex Systems +

This track invites research on optimization algorithms tailored for complex computational systems. Emphasis will be placed on novel approaches that improve performance and scalability in real-world applications.

SDG 9 SDG 11

04 Statistical Modeling in Big Data Environments +

This session addresses the challenges and solutions in statistical modeling when dealing with big data. Contributions that highlight innovative statistical techniques and their applications in large datasets are encouraged.

SDG 4 SDG 8

05 Numerical Methods for Scientific Computing +

This track focuses on the development and analysis of numerical methods applicable to scientific computing. Papers that present new algorithms or improvements to existing methods are particularly welcome.

SDG 9

06 Artificial Intelligence in Simulation and Modeling +

This session explores the role of artificial intelligence in enhancing simulation and modeling processes. Contributions that demonstrate the impact of AI on efficiency and accuracy in scientific computations are sought.

SDG 9 SDG 11

07 Data Science Techniques for Computational Research +

This track highlights the intersection of data science and computational research methodologies. Papers that discuss innovative data-driven approaches to solve complex scientific problems are encouraged.

SDG 4 SDG 8

08 Quantitative Methods in Applied Mathematics +

This session focuses on the application of quantitative methods within the realm of applied mathematics. Contributions that illustrate the practical implications of these methods in various scientific fields are welcome.

SDG 4

09 Probability and Stochastic Processes in Simulation +

This track invites research on the application of probability theory and stochastic processes in simulation contexts. Papers that explore theoretical advancements and practical applications are encouraged.

SDG 4 SDG 9

10 Computational Methods for Real-World Applications +

This session emphasizes the development and application of computational methods to address real-world challenges. Contributions that demonstrate the effectiveness of these methods in practical scenarios are particularly welcome.

SDG 3 SDG 9

11 High-Performance Computing for Scientific Discovery +

This track focuses on the role of high-performance computing in advancing scientific discovery across various disciplines. Papers that showcase innovative uses of HPC in research and development are encouraged.

SDG 9 SDG 11