Cosy Group - The Complex Systems Group
A group of researchers studying and exploring the power of Formal Methods during
the Modelling, Analysis and Simulation of Physical, Biological, Bioengineering and Social,
multiscale and multi-level, complex systems
University of Camerino
The Aim of Cosy Group
The Complex Systems Gruop (COSY) aims at involving researchers, students, professionists and organizations, such as universities, public admnistrations and enterprises, in different research and development projects running into the Modelling and Simulation Loboratory. The main mission of the Laboratory is to apply the formal methods, i.e. mathematically-based techniques for the specification, verification, development and validation of software, to the modelling and simulation of real case studies mainly in the biological, bioengineering and social domains. The laboratory is the place where students can study in-depth, apply and practice new technologies and paradigms. By being involved in real projects and interacting both with enterprises and academic staff, students are stimulated to improve and practically exploiting their knowledge. We believe that this kind of approach is particularly useful for bridging Business and Academic and for introducing students to both professional work and research.
Main Topics under Discussion
Methodological Bridges for Complex Systems Modelling and Analysis in collaboration with University of Cambridge (Computer Lab.)
The idea: Nowadays the mathematical and computational modelling of natural phenomena is usually accomplished by a single researcher, or a group, mastering a single method often under strong assumptions on parameters validity range. Natural processes, which encompass several spatial and time scales (milti-level), currently represent a methodological challenge because they may require the knowledge of different methodologies.
The aim In collaboration with reserachers of the Computer Laboratory of University of Cambridge we aim at finding the best composition of methodologies valid to the full-length scale of the parameter ranges of the modelled phenomenon. One fact behind the tremendous development of relatively new interdisciplinary research fields, such as Systems Biology, Social Networks, Econophysics, is their great potential of attracting researchers with remarkably different scientific education. This attractiveness is producing far more reaching and penetrating results than expected: the convergence of disciplines and technologies and a richer relationship between basic research and the industrial world. Together with a wider acceptance of interdisciplinarity (which is celebrated even by high impact scientific journals such as the Royal Society Interface), the most interesting new aspect is the growing mixing of modelling techniques, ranging from Hybrid Automata and Control Theory, Stochastic Simulations (implemented as Gillespie algorithm or Agent-based model) and Model Checking, Bayesian Theory and Model Checking, ODE (Ordinary Differential Equation) and Bayesian Theory, Machine Learning and Optimization. We believe that a better understanding of the compositional framework of different modelling will bring easiness in robust parameter estimation and reverse engineering properties of various types of networks and parameters relationship.
Shape Calculus for ModellingThe idea: Since models should be as faithful as possible to the real systems, we are working on a bio-inspired calculus for describing 3D shapes moving in a space. A shape forms a 3D process when combined with a behaviour. Behaviours are specified with a timed CCS-like process algebra using a notion of channel to naturally model binding sites on the surface of shapes. The calculus embeds collision detection and response, binding of compatible 3D processes and split of composed 3D processes.
Virtual Environments for Analysis and Simulation in collaboration with Reykjavik University (CADIA)The idea: The simulation and visualization of system models are becoming more and more important both in basic and applied research. Since many systems are characterized by movement and interactions involving different scales at the same time, several approaches have been defined to handle such complex systems at different spatial and temporal scale.
Other Research Topics
Current Postdoctoral Fellows
Current PhD Students
Catuscia Palamidessi, INRIA and LIX,
Marco Viceconti, Istituti Ortopedici Rizzoli, Bologna
Walter Vogler, Augsburg University
Ambient Assisted Living, funded by FP7 JADE project
Bone Remodelling, funded by Istituti Ortopedici Rizzoli and Sheffield University
UbioLab, funded by Region Marche
HeartBeat, funded by University of Camerino