Fabricio Murai Ferreira


 Professor  Adjunto


Doutorado, University of Massachusetts Amherst, Estados Unidos, 2016

  murai@dcc.ufmg.br   www
 ICEx/DCC, sala 4329, +55 (31) 3409-1488
Áreas de pesquisa

Informações resumidas do Currículo Lattes


Currículo Lattes atualizado em 11/11/2018

Formação acadêmica

Doutorado em Computer Science na University of Massachusetts Amherst em 2016
Mestrado em Engenharia de Sistemas e Computação na Universidade Federal do Rio de Janeiro em 2011
Mestrado em Computer Science na University of Massachusetts Amherst em 2013
Graduado em Ciência da Computação na Universidade Federal do Rio de Janeiro em 2007

Projetos de pesquisa em andamento

2018 a AtualExperimentos Randomizados em Redes Sociais
A/B tests are randomized experiments frequently used by companies that offer services on the Web for assessing the impact of new features. During an experiment, each user is randomly redirected to one of two versions of the website, called treatments. Several response models were proposed to describe the behavior of a user in a social network website, where the treatment assigned to her neighbors must be taken into account. However, there is no consensus as to which model should be applied to a given dataset. In this project, we propose a new response model, derive theoretical limits for the estimation error of several models, and obtain empirical results for cases where the response model was misspecified.
Integrantes: Fabrício Murai Ferreira (coordenador).
2018 a AtualArtificial Intelligence for Spotting Fake Profiles and Anomalous Users' Behaviors on the Web
The key role of the web in our society requires mechanisms to guarantee its legitimate use. Fake profiles and malicious users threat the well-working of the web. We witness the spread of fake content on social networks, disseminated at large scale to bias users' perceptions, with impacts on reputations, businesses and even on elections. Equally, infected devices are often part of botnets disrupting services and spreading malicious content. Solving these problems requires novel methodologies to cope with complex and multi-dimensional big data, for which ground truth is inherently lacking. Novel machine learning algorithms, such as deep neural networks, have been shown to operate well in problems facing similar challenges and, thus, are good candidates for the detection of abnormal profiles and behaviors. Our goal is to develop new models based on machine learning to describe the expected traffic and the behaviors of both users and devices. We will build models that combine information from multiple sources (e.g., online social networks and network measurements). The models will help to uncover fake profiles and suspicious activities, enhancing the legitimate use of the web.
Integrantes: Ana Paula Couto Silva (coordenador), Fabrício Murai Ferreira, Jussara Marques de Almeida, Flavio Figueiredo, Marco Mellia, Idilio Drago.
2017 a AtualATMOSPHERE - Adaptive, Trustworthy, Manageable, Orchestrated, Secure, Privacy-assuring, Hybrid Ecosystem for REsilient Cloud Computing
ATMOSPHERE aims at the design and development of an ecosystem comprised of a framework and a platform enabling the implementation of next generation trustworthy cloud services on top of an intercontinental hybrid and federated resource pool.
Integrantes: Wagner Meira Jr. (coordenador), Fabrício Murai Ferreira, Gisele L. Pappa, Alberto H. F. Laender, Antonio Luiz Pinho Ribeiro, Jussara Marques de Almeida, Marcos André Gonçalves, Dorgival Guedes, Renato Ferreira, Ana Paula Couto Silva, Italo Cunha, Raquel C. de Melo Minardi, Flavio Figueiredo.
2017 a AtualImproving inference by intelligently pruning the telco graph
Telephone company (telco) data can be used to infer demographic traits of phone users (such as age and gender) as well as personality traits and preferences. These sorts of inferences are of paramount importance when launching targeted campaigns: think of breast cancer and prostate cancer awareness campaigns, for instance. Unfortunately, the raw telco data contains a large volume of call records originating from telemarketing departments or destined to businesses. These calls add substantial noise to the inference process and ultimately hurt the effectiveness of campaigns. The goal of this project is to design a framework for identifying and pruning phone numbers that are unlikely to correspond to individuals. We model the telco data as a dynamic network, where nodes represent phone numbers and directed edges encode calls that took place during a given time interval. This network will also be augmented with timestamped texts, geolocation and information about mobile data usage.
Integrantes: Fabrício Murai Ferreira (coordenador), Ana Paula Couto Silva, Jorge Brea.

Projetos de desenvolvimento em andamento

Veja todos os projetos no Currículo Lattes

Últimas publicações

Artigos em periódicos

Selective harvesting over networks
2017. DATA MINING AND KNOWLEDGE DISCOVERY (DORDRECHT. ONLINE).
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling
2013. IEEE Journal on Selected Areas in Communications (Print).
Heterogeneous download times in a homogeneous BitTorrent swarm
2012. Computer Networks (1999).

Trabalhos completos em congressos

Análise de Comunidades de Suporte a Transtornos de Saúde Mental no Reddit
2018. CSBC 2018 - VII BraSNAM.
Análise de Algoritmos de Clusterização para Experimentos Randomizados em Redes Sociais de Larga Escala
2018. CSBC 2018 - 17º WPerformance.
Modelos de Resposta para Experimentos Randomizados em Redes Sociais de Larga Escala
2018. CSBC 2018 - 17º WPerformance.
Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System
2018. 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Online Social Networks in Health Care: A Study of Mental Disorders on Reddit
2018. IEEE/WIC/ACM International Conference on Web Intelligence.
Análise das Interações Sociais em Comunidades Online de Aprendizado de Idiomas: um estudo de caso no Reddit
2018. CSBC 2018 - VII BraSNAM.
Reddit weight loss communities: do they have what it takes for effective health interventions?
2018. IEEE/WIC/ACM International Conference on Web Intelligence.
Estimation Errors in Network A/B Testing due to Sample Variance and Model Misspecification
2018. IEEE/WIC/ACM International Conference on Web Intelligence.
Automatic Identification of Best Attributes for Indexing in Data Deduplication
2018. AMW-Alberto Mendelzon International Workshop on Foundations of Data Management.
Characterizing Branching Processes from Sampled Data
2013. 5th Annual Workshop on Simplifying Complex Networks for Practitioners (SIMPLEX@WWW).
Sampling directed graphs with random walks
2012. IEEE INFOCOM 2012 IEEE Conference on Computer Communications.

Resumos expandidos em congressos

Targeted Network Recruitment on a Budget
2014. International School and Conference on Network Science (NetSci).
Sobre Dois Fenômenos em Redes P2P do Tipo BitTorrent
2012. Concurso de Teses e Dissertações.
Can identical BitTorrent peers experience different download times?
2010. IFIP WG 7.3 International Symposium on Computer Performance, Modeling, Measurements and Evaluation (PERFORMANCE).
Assortative Mixing in BitTorrent-like Networks
2009. 28th IEEE INFOCOM Student Workshop.

Resumos em congressos

Gerenciamento de Conexões TCP no Ambiente de Trabalho Cooperativo FreeMeeting
2007. XXIX Jornada Giulio Massarani de Iniciação Científica, Artística e Cultural da UFRJ.
FreeMeeting: Um Ambiente de Trabalho Cooperativo Integrado a Web
2006. XXVIII Jornada Giulio Massarani de Iniciação Científica, Artística e Cultural da UFRJ.

Veja todas as publicações no Currículo Lattes

Orientações em andamento

Mestrado

Rafael Sales Medina. Impacto de Comunidades Sociais Online no Aprendizado de Línguas. Início: 2018. Universidade Federal de Minas Gerais (Orientador principal)
Bárbara Silveira Fraga. Análise de Comunidades de Suporte a Transtornos de Saúde Mental do Reddit. Início: 2018. Universidade Federal de Minas Gerais (Co orientador)

Doutorado

Veja todas as orientações no Currículo Lattes