Learning Journey on Informatics 2020

Authors

Taisy Silva Weber (ed)
UFRGS
Claudia Aparecida Martins (ed)
UFMT
Thiago Meirelles Ventura (ed)
UFMT

Keywords:

Business Process Modeling, Internet Infrastructure, Geospatial Data, Social Computing

Synopsis

The JAI book comprises didactic texts produced by researchers from the SBC community, exponents in their areas of expertise. JAI offers an unparalleled opportunity for students and IT professionals to update themselves on current topics, knowing the vision of experienced researchers. In 2020, four courses have formed JAI. Eachone corresponds to a chapter in the book. In the first chapter, “Introduction to Business Process Modeling in BPMN 2.0 and Automation in BPMS”, the authors, both from UFRGS, present fundamental concepts of BPM. The elements of the Notation and Business Process Model are described, including quality in process modeling. The automation of models in Business Process Management Systems, and transformation of models and types of existing BPMS are also discussed. In the second chapter, “How Innovative Protocols are Created and Adopted on a World Scale: A View on the Internet Engineering Task Force (IETF) and Internet Infrastructure”, the authors, from Mackenzie, UFRGS and the Federal Institute of Sertão Pernambucano, identify the multidisciplinary opportunities related to the Internet Engineering Task Force in the process of creating or improving standards on the Internet. It addresses the organization of groups, which lead discussions ranging from the Internet Protocol (IP) to Things-to-Things (T2TRG) over Internet of Things (IoT). The third chapter deals with “Geospatial data: Concepts and techniques for collection, storage, treatment and visualization” whose authors, from UFMG and UFV, aim to align theory and practice, presenting the main concepts and techniques associated with the manipulation of geospatial data, which includes the phases of collection, storage, treatment and visualization, using the main tools and libraries available. In the last chapter, "Groupware 4.0: Advances and Challenges of Social Computing", the authors of UNIRIO, UFBA, UFRJ and UFRRJ present concepts and technologies related to Social Computing as well as the advances and research opportunities in the area. The authors also introduce Groupware 4.0 as the evolution of collaboration technologies connected to new demands for work and group learning. The four chapters of this book present fundamentals and tools for the area of Informatics, being a text specially produced for people who want to start research or professional activities in these areas and also for all enthusiastic for technology who want to follow the accelerated advances of Computing.

 

Chapters

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Author Biographies

Lucineia Heloisa Thom, UFRGS
Lucinéia Heloisa Thom is Adjunct Professor at the Institute of Informatics (INF) at UFRGS. From 2018 to 2019 she was at the Vienna University of Economics and Business. Lucinéia is linked to the Graduate Program in Computing at INF-UFRGS in the research area of data and process modeling. From 2013 to 2016 she was an institutional representative at SBC. She holds a bachelor's degree in Computer Science from the University of Santa Cruz do Sul (1999), a master's degree (2002) and a PhD (2006) in Computer Science from UFRGS. From 2004 to 2005 she did an internship at the University of Stuttgart (Germany). She also completed post-doctorates at the University of Ulm (Germany), at the Joseph Fourier University (France), and at INF-UFRGS. Her main research interest is in the area of ​​Business Process Management. Related to this topic, she has more than 65 scientific publications. She coordinated the CAPES-SticAmSud Ontological Modeling of Business Processes project, and is part of the team of several research projects in the area. She was co-chair of LAS-BPM 2015 (Argentina) and LAS-BPM 2017 (Colombia). He was Publicity Latin-American Chair at BPM Conference 2015, Tutorial and Panel co-chair at BPM Conference 2016 and Publicity chair at 14th ICSOC. And also co-chair of AMISE 2020.
Diego Avila, UFRGS
Diego Toralles Avila is Master (2018) and Bachelor (2015) in Computer Science at UFRGS. He is currently a doctoral fellow at INF-UFRGS. He has activities in Software Engineering and Data and Process Modeling. He is interested in the area of Business Process Management and Conceptual Modeling. He is also interested in data mining for process mining. Currently, he conducts research related to good practices in process modeling, updating process models and organizational change.
Juliao Braga, Mackenzie University
Julião Braga is a Founding Associate and former Board Member of the Brazilian Computer Society (SBC). Visiting Professor at Universidade Presbiteriana Mackenzie (UPM), PhD in Electrical and Computer Engineering at UPM and at the Instituto Superior Técnico of the University of Lisbon, Master in Electrical and Computer Engineering at PPGEEC at UPM and Master in Computer Theory at PUC in Rio de Janeiro (1985). He has been working in computing since 1968. Interests in the area of ​​Internet Infrastructure, with an emphasis on Computer Theory, Artificial Intelligence, Semantics, Autonomous Agents and Machine Learning. He is a Quantum Internet Enthusiast.
Jeferson Campos Nobre, UFRGS
Jéferson Campus Nobre is Adjunct Professor at UFRGS. He holds the degrees of Electrical Engineer, Psychologist, Master and Doctor in Computing (UFRGS). Between 2011 and 2012, Jéferson held a sandwich doctorate at Cisco Systems in the USA. In addition, Jéferson was a postdoctoral researcher at UFPA during 2016. Previously, Jéferson was a professor at UNISINOS and ULBRA. Jéferson is currently co-coordinator of the IETF-LAC Task Force and actively participates in the Network Management Research Group (NMRG) of the Internet Research Task Force (IRTF) and the Autonomic Networking Integrated Model and Approach (ANIMA) of the Internet Engineering Task Force (IETF ). Jéferson has been publishing his work in journals and conferences of significant impact, such as IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, Springer Journal of Network and Systems Management, IFIP CNSM, IEEE / IFIP NOMS and IFIP / IEEE IM . Jéferson also served as a telecommunications engineer at Claro, TIM and Oi. His main topics of interest include Autonomic Computing and Distributed Approaches applied to Network Management and Security, Network Measurement Mechanisms and Management and Security in Networks with Resource Restrictions.
Lisandro Zambenedetti Granville, UFRGS
Lisandro Zambenedetti Granville is an Associate of the Brazilian Computer Society (SBC). Lisandro holds a bachelor's, master's and doctorate in Computer Science from the Federal University of Rio Grande do Sul, obtained in 1995, 1997 and 2001, respectively. He is currently Associate Professor at the Federal University of Rio Grande do Sul. He has experience in Computer Science, with an emphasis on Network Management Services and Applications, working mainly on the following topics: Network Virtualization, Software Defined Networks and Peer-to-Peer systems.
Marcelo Santos, Sertão Pernanbucano IFS
Marcelo Anderson Batista dos Santos is currently a professor at the Federal Institute of Education, Science and Technology of Sertão Pernambucano (IF Sertão-PE). He holds a PhD in Computer Science from the Federal University of Pernambuco (UFPE), being part of the doctorate held at Université Evry Val dEssonne - IBISC Lab (France). He has a Master's degree in Information Engineering from the Federal University of ABC (UFABC). He is an Information Systems Technologist from the Federal Institute of Alagoas (IFAL). Areas of interest include: Cloud Computing, Network Functions Virtualization, Software Defined network, resource virtualization, optimization techniques and algorithms.
Augusto Domingues, UFV
Augusto C.S.A. Domingues holds a bachelor's degree (2016) in Computer Science from the Federal University of Viçosa and a master's degree (2018) in Computer Science from the Federal University of Minas Gerais. He is currently a PhD student in Computer Science at UFMG, where he conducts research in the large area of ​​Computer Networks, with an emphasis on Ubiquitous Computing, Urban Computing, Mobile Networks and Human Mobility.
Fabrício Silva, UFV
Fabrício A. Silva is PHD (2015), master (2006) and bachelor (2004) in Computer Science at UFMG. Since 2010 he has been a professor at UFV-Campus Florestal. In 2015, he obtained a doctoral degree in the area of ​​vehicular networks. He served as a visiting researcher at the University of Ottawa, Canada, under the guidance of Azzedine Boukerche. His thesis was chosen as the second best in the SBC Thesis and Dissertation Contest. Currently, he is a Research Productivity Scholar 2 and researches in the areas of distributed systems and ubiquitous computing, mainly in the study and characterization of large volumes of data. Fabrício has been working on projects involving geospatial data since 2012. In recent years, Fabrício has focused on geospatial data, with projects to characterize these types of data, develop tools, and extract knowledge from contacts on mobile networks.
Leonardo Santos, UFV
Leonardo J. A. dos Santos is a master's student and a bachelor (2018) in Computer Science from the Federal University of Viçosa (UFV). In the master's degree, he has worked with the semantic enrichment of geospatial data using the geometries of the census sectors provided by IBGE and Points of Interest collected using the OSM.
Raissa Souza, UFV
Raissa P. P. de M. Souza holds a master's and bachelor's degree (2018) in Computer Science from the Federal University of Viçosa (UFV). Currently, she has been working on surveys to recommend mobile device apps based on user segmentation involving georeferenced information and other installed apps.
Gabriel Coimbra, UFV
Gabriel T. P. Coimbra is a Computer Science student at the Federal University of Viçosa (UFV). Currently, he has been working with research in the area of geographic information systems.
Antonio Alfredo Ferreira Loureiro, UFMG
Antonio A. F. Loureiro has a degree in Computer Science from the Federal University of Minas Gerais (1983), a master's degree in Computer Science from the Federal University of Minas Gerais (1987) and PHD in Computer Science from the University of British Columbia, Canada (1995). He is currently Full Professor at the Department of Computer Science at the Federal University of Minas Gerais. He has experience in Computer Science, with an emphasis on distributed systems, working mainly on distributed algorithms, mobile / ubiquitous computing, wireless communication, network management, computer networks, and wireless sensor networks. He is currently a Research Productivity Scholar 1A.
Ana Cristina Bicharra Garcia, UNIRIO
Cristina é atualmente a vice-coordenadora da Comissão Especial de Sistemas Colaborativos da SBC. Possui graduação em Engenharia Civil pela Universidade Federal do Rio de Janeiro (1983), mestrado em Computer Aided Civil Engineering - Stanford University (1989) e doutorado em Computer Aided Civil Engineering - Stanford University (1992). Fez um pós-doutorado em 2002 também na Universidade de Stanford e em 2013 na Business School do MIT. É atualmente Professora Titular do Departamento de Informática Aplicada da (UNIRIO) e pesquisadora 2 do CNPq desde 1994. Foi até 2017, Professora Titular no Departamento de Ciência da Computação na Universidade Federal Fluminense onde ingressou em 1994. Também é fundadora e foi coordenadora, de 1996 até 2017, do laboratório de documentação ativa e design inteligente (ADDLabs), laboratório da UFF em parceria com a Petrobras que desenvolveu mais de 20 projetos de Pesquisa e Desenvolvimento. Coordena projetos de cooperação com instituições internacionais, desde 2013, um com a Universidad Carlos III de Madrid na área de Inteligência Ambiental e, desde 2014, outro com o MIT na área de Inteligência Coletiva. Possui 8 orientações de doutorado e 32 de mestrado concluídas. As áreas de interesse atuais incluem Inteligência Artificial, Inteligência Coletiva, Inteligência Ambiental e Interação Humano-Computador.
Vaninha Vieira, UFBA
Vaninha é atualmente a coordenadora da Comissão Especial de Sistemas Colaborativos da SBC. É Professora Associada do Departamento de Ciência da Computação da UFBA e líder do grupo CEManTIKA de pesquisa em Sistemas Colaborativos, Ubíquos e Sensíveis ao Contexto. Foi Diretora do Centro de Projetos Fraunhofer para Engenharia de Software e Sistemas da UFBA. Realizou Pós-Doutorado na University of Southern California (USC), Estados Unidos (2015), Doutorado em Ciência da Computação pela UFPE (2008), doutorado sanduíche no LIP6, Paris (2007). Mestrado em Engenharia de Sistemas e Computação pela COPPE-UFRJ (2003) e graduação em Ciência da Computação pela UFBA (1999). Atuou como proponente e coordenadora executiva do consórcio brasileiro do projeto RESCUER, financiado pela Comissão Europeia e CNPq/MCTI, na área de Crowdsourcing. Atua em projetos de pesquisa nas áreas de Sistemas Colaborativos, Computação Ubíqua e Sensível ao Contexto, e Cidades Inteligentes, com ênfase em Gestão de Crises e Emergências.
Adriana Vivacqua, DCC-IM/UFRJ
Adriana possui graduação pela Pontifícia Universidade Católica do Rio de Janeiro (1993), mestrado em Computação pela Universidade Federal Fluminense (1997), mestrado em Media Arts and Sciences pelo Massachusetts Institute of Technology (1999) e doutorado em Engenharia de Sistemas e Computação pela Universidade Federal do Rio de Janeiro (2007) em co-tutela com a Université de Tecnologie de Compiègne, e pós-dourado pela Universidad Politécnica de Valencia. Atualmente é professora do Departamento de Ciência da Computação da Universidade Federal do Rio de Janeiro, e atua no Programa de Pós-Graduação em Informática, do qual é vice-coordenadora. Atua nas áreas de Interação Homem Computador e Trabalho Cooperativo Apoiado por Computador, nos temas: sistemas sensíveis a contexto, recuperação de informação, interfaces inteligentes e gestão de conhecimento. Foi Jovem Cientista do Nosso Estado pela FAPERJ (2012-2015 e 2015-2018).
Juliana França, UFRRJ
Juliana é doutora em Informática pela Universidade Federal do Rio de Janeiro (PPGI/UFRJ - 2018) com ênfase em Gestão de Sistemas Complexos. Concluiu seu Pós doutorado na UFRJ na área de CSCW (PPGI/UFRJ - 2018). Mestre em Informática pelo Programa de Pós-Graduação em Informática (PPGI/UNIRIO - 2012) da Universidade Federal do Estado do Rio de Janeiro, com ênfase na linha de pesquisa Sistemas de Apoio a Negócios. Possui graduação em Sistemas de Informação pela Universidade Federal do Estado do Rio de Janeiro (UNIRIO), e também graduação em Engenharia Cartográfica pela Universidade do Estado do Rio de Janeiro (UERJ). Atualmente é Professora Adjunto na Universidade Federal Rural do Rio de Janeiro (UFRRJ) junto ao Departamento de Computação e atua como colaboradora no programa de pós-graduação em informática da UFRJ com a co-orientação de alunos de mestrado. É membro da ACM/FCA desde 2019. Atuou na organização de eventos científicos nacionais e internacionais como ISCRAM 2016, Summer School em IHC/CSCW 2019, e SBSC 2019. Tem experiência na área de Sistemas de Informação e atua principalmente nos seguintes temas: Colaboração (CSCW), Gestão de Conhecimento, Processos de Negócio, Suporte à Decisão e Modelagem Conceitual e Ontológica.
Angelica Dias, UFRJ
Angélica é doutora em Informática pela Universidade Federal do Rio de Janeiro com ênfase em Gestão de Sistemas Complexos. Mestre em Sistemas de Informação pela UFRJ. Especialista nas áreas de Gestão Executiva e E-Business e Inteligência e Database Marketing pela COPPEAD/NCE/UFRJ. Foi Diretora da Área de Extensão e Coordenadora Acadêmica dos Cursos de pós-graduação lato sensu e extensão do Instituto Tércio Pacitti/UFRJ, na UFRJ. Docente convidada nos programas de graduação e pós-graduação do Departamento de Ciência da Computação, Instituto de Economia, Escola de Engenharia e no Programa de Pós-graduação em Informática da UFRJ. Atua como colaboradora no programa de pós-graduação da UFRJ com a co-orientação de alunos de graduação e mestrado. Atuou na organização de eventos científicos nacionais e internacionais. Tem experiência nas áreas de Administração Pública, Gerência de Projetos, Ciência da Computação e Educação. Temas de interesse: Gestão de Conhecimento, Trabalho e Aprendizagem Cooperativa apoiada por computador (CSCW e CSCL), Tecnologia Assistiva, Economia Circular, Sustentabilidade, Gestão Estratégica da Informação, Inteligência Coletiva, Inteligência Ambiental, Data Literacy, Data Science e Educação a distância.

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Publication date

November 16, 2020

Details about the available publication format: Full Volume

Full Volume

ISBN-13 (15)

978-65-87003-28-3