Session Tracks

세션 트랙

Conference Session Tracks

학술대회 세션 트랙

This ICMACOSCMA features a diverse range of session tracks designed to cover key research areas, emerging trends, and interdisciplinary innovations within the field of Mathematics,Computational Science,Management.

Each track offers researchers, academicians, industry professionals, and practitioners a platform to present their work, exchange ideas, and explore the advancements shaping the future of the domain.

본 학술대회는 주요 연구 분야, 최신 연구 동향 및 융합 연구 주제를 폭넓게 다루는 다양한 세션 트랙으로 구성되어 있습니다. 각 트랙은 연구자, 교수진, 산업 전문가 및 실무자들이 연구 성과를 발표하고 아이디어를 교류하며 해당 분야의 발전 방향을 함께 모색할 수 있는 기회를 제공합니다.

Aligned with the SDGs

지속가능발전목표(SDGs) 연계

Sustainable Development Goals
UN Sustainable Development Goals
유엔 지속가능발전목표

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals, fostering knowledge exchange, innovation, and collaborative engagement.

본 학술대회는 연구 논의와 학술 세션을 유엔 지속가능발전목표와 연계함으로써 지식 교류, 혁신 및 국제 협력을 촉진하고 글로벌 지속가능성에 기여합니다.
SDG 1
SDG 1 No Poverty
SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production

All Session Tracks

전체 세션 트랙

Browse every track scheduled for this conference.

본 학술대회의 모든 세션 트랙을 확인하실 수 있습니다.
01
Track

Advanced Statistical Methods in Business Analytics

This track focuses on the application of advanced statistical techniques to enhance decision-making in business contexts. Participants will explore methodologies such as predictive modeling, time series analysis, and multivariate statistics.

02
Track

Computational Techniques in Financial Modeling

This session will delve into computational approaches used in financial modeling, including algorithmic trading and risk assessment. Emphasis will be placed on the integration of computational science with financial theory.

03
Track

Mathematical Optimization in Supply Chain Management

This track addresses the role of mathematical optimization techniques in improving supply chain efficiency. Topics will include linear programming, network flows, and inventory management strategies.

04
Track

Data Science Applications in Economic Forecasting

Participants will examine the intersection of data science and economics, focusing on techniques for economic forecasting. The session will cover machine learning models and their implications for policy-making.

05
Track

Statistical Quality Control in Manufacturing

This session will explore statistical quality control methods and their application in manufacturing processes. Key topics include process capability analysis, control charts, and Six Sigma methodologies.

06
Track

Mathematical Modeling in Healthcare Management

This track will investigate the use of mathematical modeling to address challenges in healthcare management. Topics will include patient flow modeling, resource allocation, and epidemiological modeling.

07
Track

Computational Methods for Risk Analysis

This session will focus on computational methods employed in risk analysis across various industries. Participants will learn about simulation techniques, scenario analysis, and decision-making under uncertainty.

08
Track

Statistical Inference in Market Research

This track will cover statistical inference techniques used in market research to derive insights from consumer data. Topics will include hypothesis testing, confidence intervals, and survey design.

09
Track

Mathematics of Game Theory in Business Strategy

This session will explore the application of game theory in formulating business strategies. Participants will analyze competitive behaviors and strategic interactions among firms.

10
Track

Computational Intelligence in Decision Support Systems

This track will examine the role of computational intelligence in enhancing decision support systems. Topics will include artificial intelligence, neural networks, and their applications in business decision-making.

11
Track

Statistical Techniques for Economic Policy Evaluation

This session will focus on statistical techniques used to evaluate the effectiveness of economic policies. Participants will explore causal inference, regression analysis, and impact assessment methodologies.

Take Part in the Conference

학술대회 참가하기

Submit your abstract under the most relevant session track, or complete your registration to join the conference.

가장 적합한 세션 트랙에 초록을 제출하시거나, 등록 절차를 완료하여 학술대회에 참가하실 수 있습니다.
Submit Your Abstract 초록 제출 Register Now 지금 등록하기