ICDDMM · Registering as Listener

International Conference on Data-Driven Mathematical Modeling

📅 13–14 Jan 2027 📍 Skopje, Macedonia 👤 Standard / Listener

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest methodologies and techniques in data-driven mathematical modeling. Researchers are invited to present innovative approaches that enhance the accuracy and efficiency of mathematical models.

This session explores the application of statistical modeling techniques to understand and analyze complex systems. Contributions that demonstrate the integration of statistical methods with real-world data are particularly welcome.

This track highlights the intersection of machine learning and predictive analytics within mathematical modeling. Papers that showcase novel algorithms and their applications in various domains will be featured.

This session emphasizes computational techniques that facilitate the application of mathematical theories to practical problems. Submissions should demonstrate the use of computational methods in solving real-world challenges.

This track is dedicated to optimization methods that enhance the performance of data-driven models. Researchers are encouraged to present their findings on novel optimization algorithms and their applications.

This session focuses on simulation methodologies that support the development and validation of mathematical models. Contributions that illustrate the role of simulation in understanding complex phenomena are encouraged.

This track explores the integration of big data analytics with mathematical modeling techniques. Papers that address challenges and solutions in handling large datasets for modeling purposes are particularly sought after.

This session examines the application of quantitative methods in the design and analysis of intelligent systems. Contributions that highlight innovative mathematical approaches to enhance system intelligence are welcome.

This track focuses on methodologies for integrating diverse data sources to improve mathematical modeling. Papers that demonstrate successful data integration strategies in various applications are encouraged.

This session highlights the role of scientific computing in advancing mathematical research and applications. Contributions that showcase computational experiments and their implications for theoretical developments are invited.

This track explores mathematical representations of complex systems and their dynamics. Researchers are invited to present models that capture the intricacies of complex interactions in various fields.