Displaying 10 of 161 results for "Nuno R Barros De Oliveira" clear search
Paul Hart BSc (Liverpool), BA (Open University), PhD (Liverpool), MAE, FLS, FMBA. From 1973-1976 I worked on the Continuous Plankton Recorder (CPR) survey at the Oceanographic Laboratory, Edinburgh. From 1973 – 1976 I was employed by Nordreco AB (a Nestlé R & D company) in Sweden as a fishery biologist where he advised the Findus group on fish raw material supplies and assessed the future potential of aquaculture. In 1976 I moved to the University of Leicester as a lecturer in aquatic biology. My research focused on the foraging behaviour of fish with a side interest in marine commercial fisheries. I retired as Professor and Head of the Department of Biology and am now an Emeritus Professor. I was a Trustee of the Sir Alister Hardy Foundation for Ocean Science, which ran the Continuous Plankton Recorder Survey until it was merged with the Marine Biological Association: I then became a Trustee of the MBA. From 2010 – 2016 I was a member of the Science Advisory Board of Marine Scotland. I am co-author of Fisheries Ecology (1982) and co-editor of the two-volume Handbook of Fish Biology and Fisheries (2002). I was a co-editor of the journal Fish and Fisheries (Wiley) between 2000 and 2021.
IBMs of fisheries exploring management options and consequences of social behaviour.
I am an environmental economist at UFZ - Helmholtz Centre for Environmental Research in Leipzig, Germany. I did my PhD (Dr. rer. pol.) in environmental economics at the Martin Luther University Halle-Wittenberg in 2017. Before that, I received my master’s (2013; economics) and bachelor’s degrees (2010; cultural studies) from the same university.
My research focus is on the economic analysis of agri-environmental policy instruments as means to navigate ecosystem service trade-offs in multifunctional landscapes. In this context, I am particularly interested in identifying policy instruments and instrument mixes allowing to align societal preferences with biophysical potential of landscapes to provide multiple ecosystem services. Here, the mutual relationship between regulatory and incentive-based instruments is of much interest. Using agent-based modelling, but also more qualitative approaches, I look at the emerging landscape-level patterns that result from various policy mixes given realistic descriptions of farmers’ behaviour and institutional settings.
Cristina Montañola Sales is an assistant professor at Institut Químic de Sarrià in Ramon Llull University, where she teaches subjects in ICT and statistics. She holds a PhD in Statistics and Operations Research and specializes in the investigation of novel quantitative methods for studying human behavior, such as agent-based models and spatio-temporal analysis. Her interdisciplinary research combines mathematics with social sciences, biomedicine and High-Performance Computing. She has studied various contexts, such as the dynamics of mobility of Gambian emigrants, demographic forecasting in South Korea, and ecological resilience of hunter-gatherers in India. Her research on tuberculosis transmissions and COVID-19 has advanced knowledge in epidemics, demographic dynamics and computational statistics. She has published articles and participated in international projects on simulation, parallel computing and global health.
validation, computer performace, epidemics, demography
Doctor and Magister in Informatics by the Girona University (Spain), Telematics Engineer and Systems Technologist by the Francisco José de Caldas University (Bogotá, Colombia), Specialist in Databases Management, and Specialist in Higher Education. Currently, associate professor and researcher at the Fundación Universitaria Konrad Lorenz (Bogotá, Colombia). Academic leader of the Konrad IA project (IA - Artificial Intelligence). Associated researcher by the science and technology Colombian ministry.
CoMSES.Net is a good community space to share knowledge regarding agent based and computational models that are built based upon a wide variety of contexts (social, political, educational, scientific, biological, etc.). Thus, the CoMSES.Net should be known in all regions around the world. Moreover, as I belong to the Spanish-speaking community, it would be very interesting to publicize what the network does in Spanish-speaking countries.
Research topics: Inmersive Technologies, Educational Technologies, Web Accessibility and Usability, Sematic Web, Artificial Intelligence.
Anna Sikora is an Associate Professor in the Computer Architecture and Operating System Department at Autonomous University of Barcelona (UAB).
She got the BS degree in computer science in 1999 from Technical University of Wroclaw (Poland). She got the MSc in computer science in 2001 and in 2004 the PhD in computer science, both from Autonomous University of Barcelona (Spain).
Since 1999 her investigation is related to parallel and distributed computing. Her current main interests are focused on high performance parallel applications, performance models, automatic performance analysis and dynamic tuning. She has been involved in programming tools for automatic and dynamic performance tuning on cluster and Grid environments, as well as in exa-scale systems.
High performance parallel computing, parallel applications, performance models, automatic performance analysis, dynamic tuning. Performance tools for automatic and dynamic performance tuning on HPC systems. Agent-based modelling systems.
My initial training was in cadastre and geodesy (B.Eng from the Distrital University, UD, Colombia). After earning my Master’s degree in Geography (UPTC, Colombia) in 2003, I worked for the “José Benito Vives de Andreis” marine and coastal research institute (INVEMAR) and for the International Center for Tropical Agriculture (CIAT). Three years later, in 2006, I left Colombia to come to Canada, where I began a PhD in Geography with a specialization in modelling complex systems at Simon Fraser University (SFU), under the direction of Dr. Suzana Dragicevic (SAMLab). In my dissertation I examined the topic of spatial and temporal modelling of insect epidemics and their complex behaviours. After obtaining my PhD in 2011, I began postdoctoral studies at the University of British Columbia (2011) and the University of Victoria (2011-2013), where I worked on issues concerning the spatial and temporal relationships between changes in indirect indicators of biodiversity and climate change.
I am an Associate Professor in the Department of Geography at the University of Montreal. My research interests center around the incorporation of artificial intelligence and machine learning techniques into the development Agent-Based Models to solve complex socio-ecological problems in different kind of systems, such as urban, forest and wetland ecosystems.
The core of my research projects aim to learn more about spatial and temporal interactions and relationships driving changes in our world, by focusing on the multidisciplinary nature of geographical information science (GIScience) to investigate the relationships between ecological processes and resulting spatial patterns. I integrate spatial analysis and modeling approaches from geographic information science (GIScience) together with computational intelligence methods and complex systems approaches to provide insights into complex problems such as climate change, landscape ecology and forestry by explicitly representing phenomena in their geographic context.
Specialties: Agent-based modeling, GIScience, Complex socio-environmental systems, Forestry, Ecology
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.
Professor, School of Human Evolution & Social Change
Professor, School of Complex Adaptive Systems
Affiliate Professor, School of Earth and Space Exploration
Arizona State University
My interests center around long-term human ecology and landscape dynamics with ongoing projects in the Mediterranean (late Pleistocene through mid-Holocene) and recent work in the American Southwest (Holocene-Archaic). I’ve done fieldwork in Spain, Bosnia, and various locales in North America and have expertise in hunter/gatherer and early farming societies, geoarchaeology, lithic technology, and evolutionary theory, with an emphasis on human/environmental interaction, landscape dynamics, and techno-economic change.
Quantitative methods are critical to archaeological research, and socioecological sciences in general. They are an important focus of my research, especially emphasizing dynamic modeling, spatial technologies (including GIS and remote sensing), statistical analysis, and visualization. I am a member of the open source GRASS GIS international development team that is making cutting edge spatial technologies available to researchers and students around the world.
As of my incorporation into the Department of Computer Architecture and Operating Systems of the UAB as a postgraduate student, it is possible to divide my scientific-technical career into the following stages:
Simulation of Parallel Applications (1992-99): Focused on the design and development of simulators of parallel applications. This research main objective was the definition of abstractions for parallel programs, based on characterizing tasks and their dependences. Two main abstractions were developed, at first a simpler one, which was easier to parametrize, and, next, a more complex an accurate one. Using these characterizations, several simulation tools were programmed and used in the context of national and European projects. As part of my Master’s thesis, I was involved in the design and development of some of these simulation applications.
National projects: 4, European: 2
International conferences: 3, National: 1, Journal papers: 3
Security in Distributed Systems (2007-12): Focused on the design and development of the FPVA (First Principles Vulnerability Assessment) methodology for the evaluation of vulnerabilities in Grid applications. This methodology clearly defined a set of steps for the assessment of Grid applications vulnerabilities, most of these steps could be automatized or at least supported by specific tools. Jointly with other professors of our group and from the University of Wisconsin, I was involved in the original definition and application of this methodology.
International projects: 2
Master Thesis: 1, Ph.D. Thesis: 1
International conferences: 2, National: 1, Journal papers: 2
Parallel Application Modeling (1999-present): This is my main line of research, aimed at defining high-level performance models for parallel applications. Initially, models were defined for MPI applications with a master-worker and pipeline structure, but later this line has been expanded with the definition of models for memory-intensive OpenMP applications, composed (mix of several structures) applications, applications based on mathematical libraries, distributed data-intensive applications and, finally, applications based on the simulation of agents (ABS) with SPMD structure.
As a result of the work on modeling the performance of ABS parallel systems, we have opened a new line for the definition and implementation of a benchmark for assessing the performance of the parallel simulators generated by well-known platforms, such as FLAME, Repast-HPC or D-Mason. In addition, the knowledge we have gained on this topic has opened new ways of collaboration for optimizing real parallel ABS in the health sciences area (tumor growth and infection spread).
National projects: 12, European: 1
International conferences: 17, National: 4, Journal papers: 11
International Presentations: 4
Parallel Applications Tuning Tools (2010-present): Focused on the design and development of tools for automatic tuning and, in some cases, also dynamic tuning of parallel applications. These tools allow the integration of performance models in the form of external components provided by the analyst. For this reason, this research line is tightly coupled with the Parallel Application Modeling one. The two main tools developed totally or partially by our group are Monitoring Analysis and Tuning Environment-MATE (and its highly scalable evolution ELASTIC) and Periscope Tuning Framework-PTF.
National projects: 2, European: 1
International conferences: 11, Journal papers: 2
Tools: MATE, ELASTIC, PTF
International Presentations: 5
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