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Researcher's Profile

Fellow

Stefania BANDINI

RCAST Fellow

Biography

1988.02
PhD in Computer Science and Applied Mathematics, Department of Information Science, Faculty of Mathematical, Physical and Natural Sciences, University of Milan
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1988.10
Researcher, Department of Information Science, Faculty of Mathematical, Physical and Natural Sciences, University of Milan
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1993.03
Assistant Professor,Department of Information Science, Faculty of Mathematical, Physical and Natural Sciences, University of Milan
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2001.03
Associate Professor, Department of Computer Science, Systems and Communication, Faculty of Mathematical, Physical and Natural Sciences, University of Milano-Bicocca
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2004.04
Full Professor, Department of Computer Science, Systems and Communication, Faculty of Mathematical, Physical and Natural Sciences, University of Milano-Bicocca
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2015.07
Fellow, RCAST, The University of Tokyo

Research Interests

Artificial Intelligence (Knowledge Representation, Engineering and Management); Complex Discrete Dynamical Systems (Cellular Automata, Multi-agent System. Many research activities concern the study and the application of the dynamical properties of Cellular Automata, and related extensions (Multilayered Automata Networks and Cellular Agents) biology, chemistry, physics, urban planning, design of distributed lighting systems in public spaces. From 2004 she focused her activity in the field of crowds and pedestrians modeling and simulation to support crowd management in public spaces, recently focusing on the simulation of dynamical formation of groups into crowded spaces and the related influence of multicultural issues. From 2009 she extended her research activity in the field of Mobility and Walkability in the Ageing Society, with the creation of innovative agent-based computational models to simulate the complex behavior of heterogeneous agents in crowd conditions. Beside the scientific effort in the research, her concern implies the multidisciplinary approach in facing complex problem to create new models and approaches. As complement of her scientific effort, she is active in the transfer of scientific results towards innovation to impact productivity and social needs.


Keywords

Cellular Automaton, Multi-agent Systems, Crowd Management, Artificial Intelligence

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