Hybrid Conferencee

International Conference on Control Theory and Optimization in Applied Mathematics (ICTOAM - 27)

29th - 30th January 2027 | Samarkand, 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 Samarkand. 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 Samarkand 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 Samarkand conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Samarkand, 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 Samarkand."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
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.