Aims and Scope
The research directions of MaSeSoS (Modelling and Simulation Support for Systems of Systems Engineering and Biological Applications) research group approach the domain of Systems Engineering from a modelling and simulation perspective.
Systems engineering is a multidisciplinary approach trying to guide solution development of complex engineering problems based on formalized best practices. It relies on processes, tools, and methods, expressed as methodologies to manage complexity by improving design practices and fostering knowledge coding through model capture in all system design phases.
Modelling and simulation based systems engineering (M&SBSE) supports an effective systems engineering process in which the model is still central, but it reinforces that this model should be executable. Therefore, besides centralising experiences and successful best practices in the systems engineering endeavour, an M&SBSE process should naturally integrate design options to validate design using an executable representation of requirements.
The INCOSE systems engineering vision for 2020 describes the evolution of the systems engineering endeavours in a model-based or model driven context. Following a Model Driven Development (MDD) line of thought, the M&SBSE processes eventually support a high level visual modelling approach assisted by model execution with simulation tools.
Recent literature has proposed the extension of the systems engineering body of knowledge for systems of systems engineering (SoSE), to develop new processes, methods and tools to design complex systems of the future.
The need for such research is thoroughly motivated, considering that SoS development raises specific challenges for research, in terms of managerial and operation independence of constituent subsystems, evolutionary development and engineering emergence.
MaSeSoS research group proposes the following topics of a research agenda to improve SoSE:
- Design and analysis of artefact-centric real-time and embedded systems
- Application of Modelling and Simulation Based Systems Engineering (M&SBSE) for Software-intensive Systems of Systems (SiSoS)
- Computational modeling and simulation
- Agent-based Systems Engineering
- Application of Modelling and Simulation Based Systems Engineering (M&SBSE) and Agent-Based Modelling (ABM) for systematically and quantifiable design, development, operation, and maintenance of technology enabled service systems
- Exploratory research on platform and tools integration to support activity modelling and service networking modelling in service systems engineering
- Modelling and control of collective robotic systems using membrane systems
- Molecular modelling and simulation
- Quantitative Structure-Activity Relationship (QSAR) models – prediction of biological activity from chemical structure
- Monica Drăgoicea, co-Founder
- Cătălin Buiu, co-Founder
- Virginia Ecaterina Oltean
- Ioana Ruxandra Mihu
- Irina Andra Tache