Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session 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.
Why it matters
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
Explore
All Session Tracks
Track 01
Advancements in Control Theory
This track focuses on the latest developments in control theory, emphasizing innovative techniques and methodologies. Researchers are encouraged to present their findings on both theoretical and practical aspects of control systems.
Track 02
Optimization Techniques in Applied Mathematics
This session will explore various optimization techniques utilized in applied mathematics, including linear, nonlinear, and combinatorial optimization. Contributions that highlight novel algorithms and their applications in real-world scenarios are particularly welcome.
Track 03
Mathematical Modeling of Complex Systems
Participants in this track will discuss mathematical models that describe complex dynamical systems across various fields. Emphasis will be placed on the formulation, analysis, and validation of these models.
Track 04
Simulation and Numerical Methods
This session aims to showcase advancements in simulation techniques and numerical methods for solving applied mathematical problems. Papers that demonstrate the effectiveness of these methods in practical applications are encouraged.
Track 05
Algorithms for Control and Optimization
This track will highlight the development and application of algorithms in control theory and optimization. Contributions that address computational efficiency and robustness in algorithm design are sought.
Track 06
Systems Theory and Feedback Control
This session will delve into systems theory and its applications in feedback control mechanisms. Researchers are invited to present their insights on system stability, robustness, and performance.
Track 07
Predictive Analytics in Applied Mathematics
This track focuses on the role of predictive analytics in applied mathematics, particularly in decision-making processes. Papers that illustrate the integration of statistical methods and machine learning techniques are encouraged.
Track 08
Computational Methods in Risk Analysis
This session will explore computational methods used in risk analysis, emphasizing quantitative approaches to assess and mitigate risks. Contributions that apply these methods in various domains are welcome.
Track 09
Data Science Applications in Control Theory
This track will examine the intersection of data science and control theory, focusing on how data-driven approaches can enhance control strategies. Researchers are invited to share their experiences and findings in this evolving field.
Track 10
Machine Learning for Optimization Problems
This session will explore the application of machine learning techniques to solve optimization problems in applied mathematics. Contributions that demonstrate innovative approaches and case studies are particularly encouraged.
Track 11
Operations Research and Decision Analysis
This track will focus on operations research methodologies and their application in decision analysis. Papers that present novel frameworks or case studies illustrating the impact of these methodologies in practice are welcome.