NATIONAL CONFERENCE ON MODELING OF COMPLEX SYSTEMS (NCMCS2026)

Call for Papers

Authors are invited to contribute to the conference by submitting articles that illustrate research results, projects, and industrial experiences that describe significant advances in Modeling of Complex Systems. Papers are requested to be submitted to facilitate the oral presentations as well as poster presentations. Authors are requested to send a one-page abstract as well as the full-length paper.

For submission include, but are not limited to:

Topics of interest

Science and Engineering Systems

Complex physical systems: fluid dynamics, thermodynamics, and materials science
Multiscale and Multiphysics modeling in engineering
Control and optimization in cyber-physical systems and IoT
Robustness and fault-tolerance in engineered networks

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Complex Systems in Biology and Pharmacology

Systems biology: modeling cellular and molecular networks
Pharmacokinetics/pharmacodynamics (PK/PD) and drug discovery pipelines
Epidemiological modeling and disease spread dynamics
Personalized medicine and patient-specific modeling

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Social Sciences and Human Values

Agent-based and system dynamics models of social behaviour
Opinion dynamics, collective decision-making, and cultural evolution
Modeling economic complexity and financial markets
Networked societies: information diffusion and misinformation dynamics

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Business, Management, and Organizational Complexity

Modeling supply chains and logistics in uncertain environments
Organizational behaviour and adaptive management systems
Business ecosystems and innovation networks
Risk analysis and resilience in global markets

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Climate, Environment, and Sustainability

Modeling coupled human-environment systems
Climate change impacts and mitigation strategies
Ecosystem dynamics, biodiversity, and resilience metrics
Sustainable resource management and circular economy modeling

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Computational Methods and Emerging Technologies

Machine learning and AI in complex systems modeling
Hybrid models: integrating data-driven and mechanistic approaches
Stochastic processes, uncertainty quantification, and rare events
High-performance computing for large-scale simulations

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On the other hand, We denounce with righteous indignation And Dislike men who are beguiled eos

On the other hand, We denounce with righteous indignation And Dislike men who are beguiled eos

On the other hand, We denounce with righteous indignation And Dislike men who are beguiled eos