Welcome to COMOSA 2026!
Conference on Optimization, Modeling, Simulation, and Analytics (COMOSA 2026)
August 7 – 8, 2026 | Foreign Trade University, Hanoi, Vietnam
The International Conference on Optimization, Modeling, Simulation, and Analytics (COMOSA 2026) serves as a premier interdisciplinary platform dedicated to the synergy of its four core pillars: Optimization, Modeling, Simulation, and Analytics. Hosted at Foreign Trade University in Hanoi, Vietnam, and sponsored by VIASM, this conference brings together researchers, practitioners, and students to explore how these specialized fields drive innovation across technologies.
The scope of COMOSA 2026 centers on the rigorous development and practical application of:
- Optimization: Advanced algorithms and mathematical strategies for decision-making.
- Modeling: Theoretical and structural representations of complex systems.
- Simulation: Computational techniques to replicate and predict real-world processes.
- Analytics: Data-driven insights to solve intricate challenges in economics, business, healthcare, and the environment.
By fostering collaboration between theoretical methodology and applied science, COMOSA 2026 aims to share original, unpublished research that addresses the most pressing challenges in modern industry and management. We invite you to join this vibrant academic community in Hanoi to discuss the latest advancements in these critical domains.
Topics of interest include, but are not limited to:
Operations Research and Optimization for Supply Chain & Manufacturing Systems
- Inventory Management and Control
- Transportation and Distribution Optimization
- Risk Management in Supply Chains
- Sustainable Supply Chain Management
- Optimization for e-commerce, sharing economy, healthcare systems
- Multi-objective Optimization and Multi-criteria analysis
- Game Theory and Strategic Decision Making
- Operations Research in Manufacturing
- Smart Manufacturing Systems
- Digital twin applications
- AIs, Gen AIs for optimization
- Machine Learning for Optimization
Business Intelligence and Analytics
- Customer Behavior Analysis
- Marketing Analytics and Consumer Insights
- Pricing Strategies and Revenue Management
- Data-Driven Decision Making in Business
- Algorithmic Trading and Finance
- Human Resources Analytics
- Social Media Analytics in Business
- Algorithmic Fairness in Finance and Economics
- Financial Risk Analysis and Management
Simulation and Modeling for Complex Systems
- Foundations of Modeling Techniques
- Simulation Methodologies in Operations Research
- Discrete Event Simulation
- Continuous System Simulation
- Agent-Based Modeling
- System Dynamics Modeling
- Stochastic Modeling Approaches
- Applications of Simulation in Manufacturing
- Healthcare Simulation Models
- Environmental Modeling and Simulation
- Simulation for Supply Chain Management
- Virtual Prototyping and Testing
- Modeling Complex Systems
- Sensitivity Analysis in Simulation
- Real-Time Simulation Techniques
- Integration of Machine Learning in Simulation
- Validation and Verification of Simulation Models
Digital Twins for Environment and Urban Systems
- Digital Twin Technologies for Urban Planning and Infrastructure
- Real-Time Monitoring of Environmental and Climate Conditions
- Integration of IoT, Remote Sensing, and Sensor Data into Digital Twins
- Multi-Scale Modeling of Urban-Environment Interactions
- Climate-Informed Digital Twin Applications for Disaster Risk Reduction
- Simulation of Climate Impacts on Cities and Natural Ecosystems
- Decision Support Systems for Environmental Management and Resilience Planning
- Cross-Sectoral Digital Twins for Sustainable Development and Smart Governance
Data Science and Artificial Intelligence
- Machine Learning and Artificial Intelligence
- Big Data Analytics
- Sustainable Urban Development through Data-Driven Insights
- Data Analytics for Environmental Impact Assessment
- Predictive and Prescriptive Analytics
- IoT and Sensor Data Analysis for Urban Monitoring
- Cloud and Edge Computing for Urban Data Processing
- Decision Support Systems
- Data-Driven Strategies for Circular Economy and Resource Efficiency
- Emerging Trends in Analytics and Optimization
Accepted papers will be peer-reviewed and, upon acceptance and presentation, will be published in a volume of the Springer book series Optimization and Its Applications (indexed in Scopus, DBLP, and other major databases).
The conference also welcomes submissions from authors who wish to present and exchange research ideas without the requirement of formal publication in the conference proceedings.
Target Audience:
- Researchers and academicians in operations research, analytics, and related fields.
- Industry professionals working in optimization, supply chain, finance, and technology sectors.
- Graduate and postgraduate students with an interest in these areas.
Authors who are interested in the above topics can submit their unpublished work to COMOSA 2026. A clear indication of the motivation and comparison with prior related work should be presented. Simultaneous submission to a journal or another conference with refereed proceedings is not allowed.
Submission Link: https://comosa2026.sciencesconf.org/submission/submit
Author toolkit:
Important Dates
- Paper Submission Deadline: May 15, 2026
- Paper Acceptance Notification: July 1, 2026
- Camera Ready Deadline: July 15, 2026.
- Regular Registration Deadline: July 20, 2026
- Conference Dates: August 7-8, 2026