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structure of scientific revolutions, dynamics of innovation, exploration-exploitation dynamics
Distributed computing modeling, multi-agent computing models, economic and financial models, healthcare chronic disease models
Innovation Networks, University-Industry Links, Management and Policy for Technologies in Emerging Economies (Brazil), Agent-based Simulation.
My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.
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
publons.com/researcher/2900535/juan-moises-de-la-serna | orcid.org/0000-0002-8401-8018 |PhD in Psychology US.es and Master in Neuroscience and Behavioral Biology UPO.es |Part Time Online Adjunct Faculty UNIR.net |The most read author in Spain in 2020|Expert in Quality Agency for Higher Education of Latvia AIKA.LV |Nowadays, my research focuses on Potential Factors Influencing COVID-19 and Short- & Long-Term Psychological and Neurological complications after SARS-CoV-2 infection in humans
Social change with COVID-19
Main Research Topics :
1) Agent-based Modeling (Communication between agents)
2) Economic and Econometric Algorithms and Software Development
3) Optimal International Trade Configuration
Mainly interested in studying social networks of learners, teachers, and innovators. Uses Social Network Analysis, but also sentiment analysis, data mining, and recommender system techniques.
Displaying 10 of 149 results for "K De Boo" clear search