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Dr. Andreu Moreno Vendrell got the BS degree in Telecommunications Engineering in 1995 and the PhD in Telecommunications Engineering in 2000, both from Universitat Politècnica de Catalunya (Spain). Since 2005 his research is related to parallel and distributed computing. His main interests are focused on high performance parallel applications, automatic performance analysis and dynamic tuning, and agent based simulation systems. He has been involved in the definition of performance models for automatic and dynamic performance tuning and in the development of a new benchmark for agent based frameworks. He is lecturer at the Escola Universitària Salesiana de Sarrià, associated college of Universitat Autònoma de Barcelona. He is IEEE member.
Agent-based systems
Agent Based Modeling And Simulation
I hold a MA in Prehistory and a master degree in International Relations, both obtained at the Sapienza University of Rome. After this I obtained a PhD in Pre- and Protohistory and Aegean Archaeology from the University of Heidelberg in cotutelle de thèse with the University of Paris 1 Sorbonne Panthéon. Since 2018 I hold a permanent position as senior researcher at the Italian National Research Council. Prior to this I had worked as postdoctoral researcher at the Ruhr University of Bochum, University of Heidelberg, University of Amsterdam and University of Mainz.
I specialize in prehistoric archaeology (6 to 2 mill BC) with a focus on the Balkans and Central Mediterranean. My interest stretches from the relationship between past identities and material culture, large mobility patterns and cultural transmission to development of archaeological theory, network analysis and Agent-based Modelling, archaeological discourses in present day identity building and political uses of archaeology.
My broad research interests are in human-environmental interactions and land-use change. Specifically, I am interested in how people make land-use decisions, how those decisions modify the functioning of natural systems, and how those modifications feedback on human well-being, livelihoods, and subsequent land-use decisions. All of my research begins with a complex systems background with the aim of understanding the dynamics of human-environment interactions and their consequences for environmental and economic sustainability. Agent-based modeling is my primary tool of choice to understand human-environment interactions, but I also frequently use other land change modeling approaches (e.g., cellular automata, system dynamics, econometrics), spatial statistics, and GIS. I also have expertise in synthesis methods (e.g., meta-analysis) for bringing together leveraging disparate forms of social and environmental data to understand how specific cases (i.e., local) of land-use change contribute to and/or differ from broader-scale (i.e. regional or global) patterns of human-environment interactions and land change outcomes.
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Modelling natural resource production and use for assessment of sustainability.
Currently working on Agent Based Demography.
Dr. Dawn Parker is a professor at the University of Waterloo in the School of Planning. Her research focuses on the development of integrated socio-economic and biophysical models of land-use change. Dr. Parker works with agent-based modeling, complexity theory, geographic information systems, and environmental and resource economics. Her current ongoing projects include Waterloo Area Regional Model (WARM) Urban intensification vs. suburban flight, a SSHRC funded development grant that explores the causal relationships between light rail transit and core-area intensification, and the Digging into Data MIRACLE (Mining relationships among variables in large datasets from complex systems) project.
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