SIM4FUTURE RESEARCH DIVISION
Advanced research in modeling, simulation & decision support.
We do applied research in simulation, artificial intelligence, synthetic environments and decision support systems , combining scientific rigor with operational development for industrial, institutional and defense stakeholders.
6
Research areas
50+
Scientific contributions
∞
Partnerships
UniGe
University of Genoa Spinoff
Areas of Research
Six interconnected domains driving applied simulation science.
From multi-agent systems to digital twins, our research portfolio spans the methodologies and technologies that define next-generation M&S.
Multi-Agent Simulation
Modeling of complex systems, distributed environments, and human behavior through scalable simulation architectures.
AI for Decision Support
AI-enabled systems for scenario analysis, training, prediction, and decision support in dynamic environments.
Interoperability & Distributed Simulation
Interoperable architectures aligned with international standards for distributed, multi-domain environments.
Human Behavior Modeling
Cognitive and behavioral models applied to training systems, serious games, and operational simulations.
IoT & Intelligent Systems
Distributed systems, smart sensing, and IoT infrastructures for advanced simulation ecosystems.
Digital Twins & Synthetic Environments
Virtual and hybrid environments for training, experimentation, and validation of complex systems.
Strategic Programs
Initiatives applying our research capabilities to real-world challenges.
FLAGSHIP PROGRAM
iSteel-Expert
A research program dedicated to advanced systems for operational support, training and process optimization in Electric Arc Furnaces (EAF). The project integrates simulation-based training, AI, machine vision and digital technologies to enhance management, safety and situational awareness in complex industrial environments.
Sim4Future develops advanced simulation environments for operator training, combining process modeling, realistic scenarios and interactive systems to support learning and operational readiness.
FOCUS AREAS
→ Simulation-based operator training
→ Human-in-the-loop simulation
→ Industrial decision support
→ Digital environments for EAF operations
ACADEMIC & INSTITUTIONAL
Collaborations rooted in the scientific community.
University Of Genoa
Sim4Future operates in close collaboration with UniGe as a university Spin-Off, contributing to research activities and scientific initiatives.
Strategos
We support the MSc Strategos program as an institutional partner, contributing expertise in modeling, simulation and strategic analysis.
Liophant
We are active members of the Liophant Simulation Club, contributing to the promotion and development of modeling and simulation as a scientific and professional community.
PhD Programs
We co-finance and support doctoral activities related to simulation, AI, synthetic environments and advanced decision-support systems.
Conferences & Scientific Community
Active presence in the international M&S Ecosystem
Eurosim 2026
Sim4Future organizes Eurosim 2026, contributing to the international modeling & simulation ecosystem through scientific coordination.
I3M Participation
Our researchers regularly participate in the I3M ecosystem through scientific contributions and collaborative initiatives.
WAMS Workshop
We periodically organize WAMS workshops dedicated to emerging methodologies and applied research.
publications and references
Presented at 14th European Electric Steelmaking conference (EEC 2026) and published in the official proceedings: Massei, M. & Sinelshchikov, K. (2026). Simulation Based Training for Industrial Operations: Interactive Learning for Complex Tasks. In Proceedings of 14th European Electric Steelmaking conference. Milan, Italy. ISBN 9788898990443
Bruzzone, A. G., Sinelshchikov, K., Massei, M., & Schmidt, W. (2020). Artificial intelligence to support retail sales optimization. In Proceedings of the 32nd European Modeling & Simulation Symposium, EMSS. doi: 10.46354/i3m.2020.emss.061
Bruzzone, A. G., Sinelshchikov, K., Massei, M., & Schmidt, W. (2021). Machine Learning and Genetic Algorithms to Improve Strategic Retail Management. In Proceedings of the 20th International Conference on Modelling and Applied Simulation. doi: 10.46354/i3m.2021.mas.023
Bruzzone, A. G., Massei, M., Sinelshchikov, K., Ferrari, R., & Cardelli, M. (2023). New Generation Interoperable Simulators for Port Operations. In proceedings of 35th European Modeling and Simulation Symposium, EMSS 2023. doi: 10.46354/i3m.2023.emss.045