Uncertain Centroid based Partitional Clustering of Uncertain Data
FISLAB – Complex and Uncertain Systems Laboratory
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FISLAB – Complex and Uncertain Systems Laboratory Davide Ciucci and Alberto Dennunzio Laboratory Head
description
Davide Ciucci and Alberto Dennunzio Laboratory Head. FISLAB – Complex and Uncertain Systems Laboratory. FISLAB. Main research areas Complex Systems Simulation Cellular Automata Chaos Many-valued Logics Quantum Computation Parallel and Distributed Computing Issues. FISLAB. - PowerPoint PPT Presentation
Transcript of FISLAB – Complex and Uncertain Systems Laboratory
FISLAB – Complex and Uncertain Systems
Laboratory
Davide Ciucci and Alberto DennunzioLaboratory Head
FISLAB Main research areas
Complex Systems Simulation Cellular Automata Chaos Many-valued Logics Quantum Computation Parallel and Distributed Computing Issues
FISLAB Five research scientists Various external collaborators, 10 to 14
graduated students per year About 200 publications and 1 patent since’99 Research supported by (since 1999) Università
Milano-Bicocca, MIUR, EU, INFN, Eni Tecnologie
Collaborations with other Research Structures
University of Aix-Marseille I,University of Nice-Sophia Antipolis, ENS Lyon, University of Paris-Est, University of Toulouse III (France) – Interlink project
Univerisity of Warsaw (Poland) University of Regina (Canada) University of Chengdu (China) University of Calcutta (India)
INFN (Italy) CERN Geneva (Switzerland)
Cellular Automata - Formal Approach
Dynamical Behaviour and Chaos Decidability Simbolic dynamics and formal languages
Simulations by Cellular Automata
Fractal Percolation in porous media Computational Fluid Dynamics Interaction of Multi-Phase Fluids
Simulations by Cellular Automata
50 iterations 200 iterations
400 iterations >1000 iterations
Simulations by Cellular Automata
Prey-Predator Systems Comparison with Lotka-Volterra Equations
Managing imprecision – rough sets Theoretical approach: algebra, topology, entropy Data mining: rules generation, approximations,
significance of attributes
Managing imprecision – fuzzy sets
Algebraic semantic of many valued logics
Semantic web: fuzzy ontology
Quantum Computing
Realization of the quantum logical gate CNOT by laser optical nano-technology
Parallel and Grid Computing Distributed data analysis for HEP experiments (with INFN
& CERN) Dynamic Load Balancing and P2P methods for Grid
Parallel and Grid ComputingSCILX: HPC cluster beowulf with 40 CPUs and Dolphin
Interconnection cards (bandwith 250Mb/s, latency >5ns )
ADDRESS & LINK
All informations about us and our publications
are available at the Laboratory web site
http://www.fislab.disco.unimib.it/
