ANSS 2024 : Annual Simulation Symposium

Annual Simulation Symposium (ANSS)
This is the main track in the Annual Modeling and Simulation Conference (ANNSIM)

Chairs: Joachim Denil, University of Antwerp, Belgium & Deniz Cetinkaya, Bournemouth University, UK

Modeling and Simulation (M&S) is currently the core of many industrial processes. It is a vital ingredient, since it can support early evaluation and optimization of designs, as well as ongoing verification while changes occur to make sure that the right product is developed with the required quality. However, there are still businesses that must understand that embracing M&S in project development and management is good practice,
and this can be done by showing real-world examples of success.

Real-world applications have always been the driving force for the development of M&S theories. For over 50 years, the Annual Simulation Symposium has been a forum to exchange ideas, results, and methods related to real-world theories and applications of M&S for simulation experts in industry, government, and academia.

The purpose of this track is to highlight and advance rigorous experimental and computational practices of M&S devoted to the study of real-world problems. Research on all topics concerning the practice of M&S theories are welcome. Authors are invited to submit original research papers, including case studies and applications.

Recommended topics in the track include, but are not limited to, the following:
- Advances in the field of M&S for implementation purposes
- Application of modeling formalisms into real world applications
- Rigorous comparisons across M&S techniques
- Model checking, formalism-based model debugging, model transformation
- Model-driven and model-based approaches in M&S
- New applications of M&S
- Novel uses of M&S in real world applications
- Application of M&S to co-design, hardware-in-the-loop, co-simulation
- M&S tools: performance analysis, scalability
- M&S of quantum information and quantum algorithms
- Quantum simulators and quantum simulation of physical systems