Hybrid Conferencee

International Conference on Mathematical and Computational Sciences (ICMACOSC - 27)

27th - 28th February 2027 | Bukhara, Uzbekistan
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Bukhara. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Bukhara event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Bukhara conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Bukhara, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Bukhara."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1
SDG 1 No Poverty
SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
Track 01

Advanced Numerical Methods

This track focuses on the development and analysis of numerical methods for solving complex mathematical problems. Topics include finite element methods, spectral methods, and numerical optimization techniques.

Track 02

Statistical Modeling and Inference

This session emphasizes the creation and evaluation of statistical models for data analysis. Participants will explore methodologies for parameter estimation, hypothesis testing, and model selection.

Track 03

Computational Algebra and Geometry

This track covers computational techniques in algebra and geometry, including algorithmic approaches to polynomial equations and geometric constructions. Emphasis will be placed on applications in computer graphics and robotics.

Track 04

Machine Learning and Data Science

This session delves into the intersection of mathematics, statistics, and machine learning. Topics will include algorithm development, data mining techniques, and the mathematical foundations of learning algorithms.

Track 05

Optimization Techniques in Computational Science

This track addresses various optimization strategies applicable to computational science problems. Discussions will include linear programming, nonlinear optimization, and combinatorial optimization.

Track 06

Mathematical Modelling in Real-World Applications

This session highlights the role of mathematical modeling in addressing real-world challenges across various fields. Participants will present case studies that illustrate the application of mathematical theories to practical problems.

Track 07

Stochastic Processes and Applications

This track explores the theory and applications of stochastic processes in various domains. Topics include Markov chains, queuing theory, and stochastic simulations.

Track 08

Computational Statistics and Big Data

This session focuses on the computational aspects of statistics in the context of big data. Emphasis will be placed on scalable algorithms, data visualization techniques, and statistical computing frameworks.

Track 09

Graph Theory and Network Analysis

This track investigates the mathematical foundations of graph theory and its applications in network analysis. Discussions will include algorithms for network optimization, connectivity, and community detection.

Track 10

Mathematics in Finance and Economics

This session examines the application of mathematical models in finance and economics. Topics will include quantitative finance, risk assessment, and economic modeling.

Track 11

Mathematical Education and Pedagogy

This track addresses innovative approaches to teaching mathematics and computational sciences. Participants will share best practices, curriculum development strategies, and the integration of technology in mathematics education.