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International Conference on Pure and Applied Mathematics

📅 11–12 Feb 2027 📍 Mandalay, Burma 👤 Standard / Listener

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$150

virtual · $150 in person

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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 development and application of numerical techniques to solve complex mathematical problems. Topics may include finite element methods, numerical integration, and optimization algorithms.

This session invites contributions on statistical models and their applications in various fields. Emphasis will be placed on innovative methodologies for data analysis and interpretation.

This track explores the intersection of mathematics and biology, emphasizing mathematical modeling in biological systems. Contributions may include population dynamics, epidemiology, and bioinformatics.

This session highlights the application of mathematical techniques in decision-making processes. Topics include optimization, game theory, and simulation methods.

This track covers mathematical models used in finance, including pricing of derivatives and risk assessment. Participants are encouraged to present innovative approaches to financial modeling.

This session focuses on the development of algorithms for solving mathematical problems using computational techniques. Topics may include algorithm efficiency, complexity analysis, and software development.

This track examines the application of differential equations in modeling real-world phenomena. Contributions may include both theoretical advancements and practical applications.

This session invites discussions on the latest methodologies in statistical inference and hypothesis testing. Emphasis will be placed on both theoretical developments and practical applications.

This track explores the role of mathematics in various engineering disciplines. Topics may include mathematical modeling in mechanical, civil, and electrical engineering.

This session focuses on the theory and applications of stochastic processes in various fields. Contributions may include Markov processes, queuing theory, and stochastic modeling.

This track addresses innovative approaches to teaching mathematics and statistics. Participants are encouraged to share research on effective pedagogical strategies and curriculum development.