Flex Conference (Physical / Digital)

International Conference on Variational Methods and Optimization in Applied Mathematics (ICVMOAM - 26)

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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.

SDG 4 SDG 4 — Quality Education
SDG 8 SDG 8 — Decent Work and Economic Growth
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 11 SDG 11 — Sustainable Cities and Communities
SDG 12 SDG 12 — Responsible Consumption and Production
SDG 16 SDG 16 — Peace, Justice and Strong Institutions
SDG 17 SDG 17 — Partnerships for the Goals
Track 01

Variational Methods in Optimization

This track focuses on the application of variational methods to solve complex optimization problems. Participants will explore theoretical advancements and practical implementations in various fields.

Track 02

Mathematical Modeling and Simulation Techniques

This session emphasizes the development and application of mathematical models to simulate real-world phenomena. Attendees will discuss innovative modeling approaches and their implications in applied mathematics.

Track 03

Numerical Methods for Optimization Problems

This track delves into the latest numerical techniques for solving optimization problems across diverse applications. Researchers will present their findings on efficiency, accuracy, and convergence of these methods.

Track 04

Algorithms in Applied Mathematics

This session highlights cutting-edge algorithms that address challenges in applied mathematics. Discussions will include algorithm design, analysis, and their practical applications in various domains.

Track 05

Probability and Risk Analysis in Decision Making

This track explores the integration of probability theory and risk analysis in decision-making processes. Participants will examine case studies and methodologies that enhance quantitative decision-making.

Track 06

Control Theory and Its Applications

This session focuses on the principles of control theory and its application in engineering and technology. Researchers will share insights on system dynamics, stability, and optimization techniques.

Track 07

Data Science and Predictive Analytics

This track investigates the intersection of data science and predictive analytics in applied mathematics. Participants will discuss methodologies for data-driven decision-making and forecasting.

Track 08

Machine Learning Techniques in Applied Mathematics

This session examines the role of machine learning in solving mathematical problems and enhancing predictive models. Attendees will explore novel algorithms and their applications in various fields.

Track 09

Computational Methods in Mathematical Research

This track highlights the use of computational methods in advancing mathematical research. Presentations will cover software tools, simulations, and computational techniques that facilitate complex analyses.

Track 10

Statistical Modeling and Applied Statistics

This session focuses on the development and application of statistical models in real-world scenarios. Researchers will share their experiences and methodologies in applied statistics.

Track 11

Quantitative Analysis in Industry Applications

This track explores quantitative analysis techniques applied in various industries, including finance, healthcare, and engineering. Participants will discuss case studies and innovative approaches to quantitative problem-solving.

Important Dates

Early Bird Registration :6th July 2026

Paper Submission Deadline :11th July 2026

Last Date of Registration : 21st July 2026

Date of Conference : 5th - 6th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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