AFTER

Conference Session Tracks

11 Tracks

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 4 — Quality Education

SDG 8 — Decent Work and Economic Growth

SDG 9 — Industry, Innovation and Infrastructure

SDG 12 — Responsible Consumption and Production

SDG 13 — Climate Action

SDG 16 — Peace, Justice and Strong Institutions

Session Tracks

Track 01

Advancements in Numerical Methods

This track focuses on the latest developments in numerical methods for solving complex mathematical problems. Contributions that address both theoretical advancements and practical applications are encouraged.

Track 02

Mathematical Modeling in Scientific Research

This session invites papers that explore innovative mathematical models used in various scientific domains. Emphasis will be placed on the application of these models to real-world problems.

Track 03

Statistical Modeling and Data Analysis

This track aims to gather research on statistical modeling techniques and their applications in data analysis. Topics may include regression models, time series analysis, and Bayesian statistics.

Track 04

Algorithms for High-Performance Computing

This session will highlight the development and implementation of algorithms designed for high-performance computing environments. Papers that demonstrate efficiency and scalability are particularly welcome.

Track 05

Machine Learning and Artificial Intelligence in Mathematics

This track explores the intersection of machine learning, artificial intelligence, and applied mathematics. Contributions should focus on novel algorithms and their applications in scientific computing.

Track 06

Optimization Techniques in Applied Mathematics

This session will cover various optimization techniques and their applications in solving real-world problems. Papers that present new methodologies or case studies are encouraged.

Track 07

Computational Science and Simulation

This track focuses on the role of computational science in simulating complex systems. Contributions that showcase innovative simulation techniques and their applications are welcome.

Track 08

Risk Analysis and Probability in Decision Making

This session invites research on the application of probability and risk analysis in decision-making processes. Papers that integrate quantitative methods with practical applications are encouraged.

Track 09

Forecasting Applications in Science and Industry

This track aims to explore forecasting methodologies and their applications across various fields. Contributions should demonstrate the effectiveness of forecasting techniques in real-world scenarios.

Track 10

Applied Statistics in Research and Industry

This session will focus on the application of statistical methods in both research and industry settings. Papers that highlight case studies or innovative statistical techniques are particularly welcome.

Track 11

Quantitative Methods in Scientific Computing

This track emphasizes the importance of quantitative methods in the realm of scientific computing. Contributions that bridge theoretical and practical aspects of quantitative analysis are encouraged.