Publications
Submitted papers
Does orchestration pay off? Multi-agent vs single-agent LLMs for football data analytics. ICCART 2027.
Typed probabilistic decisions in dependent financial news flows: evidence constraints and equity price adjustment. ICAIF 2026.
Structuring the sourcing funnel: uncertainty-routed dual-process screening in private markets. ICAIF 2026.
Blogs & Social media
Generative AI in education: reshaping the future of learning. LSE Management with Impact Blog (May 2025).
To improve their courses, educators should respond to how students actually use AI. LSE Impact Blog (May 2024).
A fundamental problem at the heart of data science teaching. LSE Essays in Education (June 2023).
Journal papers
Early detection of dengue outbreaks from routine primary health care records: evaluation by an extended version of the Mixed Model of Artificial Intelligence and Next-Generation (MMAING). (August 2026) BMC Medical Research Methodology.
A gamification proposal to support crowdsourcing and collaborative mapping in Covid-19 spatialization and signaling. (March 2026) Journal on Interactive Systems.
Artificial intelligence in health and medical research involving people who have contact with the criminal justice system (February 2026) Journal of Health Equity (Special Issue: Data Science and Health Equity).
Mapping student-GenAI interactions onto experiential learning: the GENIAL framework. (October 2025) SSRN.
An integrated framework for modelling respiratory disease transmission and designing surveillance networks using a sentinel index. (September 2025) Royal Society Open Science Journal.
Combining machine learning and dynamic system techniques to early detection of respiratory outbreaks in routinely
collected primary healthcare records. (April 2025) BMC Medical Research Methodology.
Exploring the use of machine learning algorithms on sickle cell disease patient data: a systematic review. (November 2024) PLOS ONE.
Approach generative AI tools proactively or risk bypassing the learning process in higher education. (June 2024)
LSE Public Policy Review.
Data for international health emergencies: lessons learned from ten international COVID-19 driver projects. (May 2024) The Lancet Digital Health.
K-means DTW Barycenter Averaging: a clustering analysis of COVID-19 cases and deaths on the Brazilian federal units.
(April 2024) International Journal of Data Science and Analytics.
Measuring social inequalities in health in the COVID-19 pandemic in a middle-income country: the IDS-COVID-19 Index.
(October 2023) The Lancet.
Syndromic detection of upper respiratory infections in primary healthcare as a candidate for COVID-19 early warning in Brazil: a retrospective ecological study.
(February 2023) The Lancet.
Malaria-VisAnalytics: a tool for visual exploratory analysis of Brazilian public malaria data.
(August 2022) Malaria Journal.
The moderation of multimorbidity and depressive symptoms on cognition.
(July 2022) Brazilian Journal of Psychiatry.
Prioritizing nurturing care at the municipal and district level with the Brazilian Early Childhood Friendly Municipal Index (IMAPI).
(March 2022) Maternal & Child Nutrition.
Cohort profile: the 100 Million Brazilian Cohort. (December 2021) International Journal of Epidemiology.
Birthweight, gestational age and familial confounding in sex differences in infant mortality: a matched
co-twin control study of Brazilian male-female twin pairs identified by population data-linkage.
(November 2021) International Journal of Epidemiology.
Gamification frameworks and models for health contexts: an integrative review.
(September 2021) International Journal for Innovation Education and Research.
Sociodemographic inequities in nurturing care for early childhood development across Brazilian municipalities.
(July 2021) Maternal & Child Nutrition.
Nurturing care indicators for the Brazilian Early Childhood Friendly Municipal Index (IMAPI).
(January 2021) Maternal & Child Nutrition.
Convolutional support vector models: prediction of Coronavirus disease using chest X-rays.
(November 2020) Information (MDPI).
CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability.
(November 2020) BMC Medical Informatics and Decision Making.
Local processing of massive databases with R: a national analysis of a Brazilian social programme.
(October 2020) Stats (MDPI).
Ontological concepts for information sharing in cloud robotics.
(June 2020) Journal of Ambient Intelligence and Humanized Computing.
BioMeT and algorithm measures: a proposed standardized evaluation framework.
(May 2020) IEEE Journal of Translational Engineering in Health & Medicine.
Wearables beyond boarders: A case study of barriers to gait assessment in low-resource settings.
(April 2020) Maturitas.
A review and comparison of ontology-based approaches to robot autonomy.
(December 2019) The Knowledge Engineering Review.
The Center for Data and Knowledge Integration for Health (CIDACS) - an experience of linking health and social data in Brazil.
(November 2019) International Journal of Population Data Science (IJPDS).
Administrative data linkage in Brazil: potentials for health technology assessment.
(September 2019) Frontiers in Pharmacology.
Exploring hybrid parallel systems for probabilistic record linkage.
(March 2019) Journal of Supercomputing.
On the accuracy and scalability of probabilistic data linkage over the Brazilian 114 million cohort.
(March 2018) Journal of Biomedical and Health Informatics.
Treating heterogeneity and uncertainty in data integration: study on Brazilian healthcare databases.
(April 2017) International Journal of Population Data Science (IJPDS).
Design and evaluation of probabilistic record linkage methods supporting the Brazilian 100-million cohort initiative.
(April 2017) International Journal of Population Data Science (IJPDS).
Assessing the accuracy of probabilistic record linkage of huge Brazilian healthcare databases.
(April 2017) International Journal of Population Data Science (IJPDS).
Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems.
(March 2014) Journal of Supercomputing.
Applied ontologies and standards for service robots.
(November 2013) Robotics and Autonomous Systems.
Towards a core ontology for Robotics and Automation.
(November 2013) Robotics and Autonomous Systems.
Ubiquitous robotics: recent challenges and future trends.
(November 2013) Robotics and Autonomous Systems.
Conference full papers
Rethinking programming education in the age of AI agents.
Cambridge AI in Education Summit 2026. Cambridge, UK, 2026.
Navigating human-AI skill transitions: an evidence based approach.
LSE-Fudan Annual Conference. London, UK, 2025.
Gamification to support crowdsourcing and participatory mapping for signaling and spatialization of Covid-19 transmission predictors.
Brazilian Symposium on Collaborative Systems (SBSC). Salvador, Brazil, 2024. Best paper award runner-up – “Research track”.
Crowdsourcing for the spatialization and signaling of Covid-19 transmission predictors: an approach based on risk perception.
Brazilian Symposium on Collaborative Systems (SBSC). Rio de Janeiro, Brazil, 2022. Best paper award – “Innovative ideas and emerging results”.
Sex differences in infant mortality: a population data linkage study of Brazilian male-female twin pairs.
International Population Data Linkage Network Conference (IPDLN 2020). Adelaide, Australia, 2020.
Matched-pair analysis using machine learning to predict 1-year mortality in newborn twins.
20th Brazilian Symposium on Computing Applied to Health (SBCAS 2020). Salvador, Brazil, 2020.
Prototyping and validating the CORA ontology: case study on a simulated reconnaissance mission.
16th Latin American Robotics Symposium (LARS 2019). Rio Grande, Brazil, 2019.
K-fact: using the frequency factor for clustering categorical data.
Brazilian Conference on Intelligent Systems (BRACIS 2019). Salvador, Brazil, 2019.
Providing malaria analytics as a service.
9th International Conference on Cloud Computing and Services Science (CLOSER 2019). Heraklion, Greece, 2019.
Early childhood development friendly index: assessing the enabling environment for Nurturing Care in Brazilian municipalities.
Nutrition and Nurture in Infancy and Childhood (MAINN 2019). Grange-over-Sands, UK, 2019.
Applying term frequency-based indexing to improve scalability and accuracy of probabilistic data linkage.
1st Latin America Data Science Workshop (LADaS 2018), Rio de Janeiro, 2018.
uStorage: a storage architecture to provide block-level storage through object-based storage.
6th European Conference on Service-Oriented and Cloud Computing (ESOCC 2017), Oslo, 2017.
Ontology for autonomous robotics.
26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2017), Lisbon, 2017.
A trainable model to assess the accuracy of probabilistic record linkage.
19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2017), Lyon, 2017.
Accelerating docking simulation using multicore and GPU systems.
17th International Conference on Computational Science and Applications (ICCSA 2017), Trieste, 2017.
Scaling probabilistic record linkage on multicore and multi-GPU system.
17th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2017), Cadiz, 2017.
Probabilistic integration of large Brazilian socioeconomic and clinical databases.
30th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2017), Thessaloniki, 2017.
Towards a robot task ontology standard.
Manufacturing Science and Engineering Conference (MSEC 2017), Los Angeles, 2017.
Auto-tuning TRSM with an asynchronous task assignment model on multicore, multi-GPU and co-processor systems.
13th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2016), Agadir, 2016.
Correlação probabilística de bases de dados governamentais.
30th Brazilian Symposium on Databases (SBBD 2015), Petrópolis, 2015.
A Spark-based workflow for probabilistic record linkage of healthcare data.
Workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR - EDBT/ICDT 2015), Brussels, 2015.
Support for bioinformatics applications through volunteer and scalable computing frameworks.
IEEE International Conference on Cluster Computing (CLUSTER 2014), pp. 364-370, Madri. 2014.
Auto-tuning methodology to represent landform attributes on multicore and multi-GPU systems.
International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM - PPoPP 2013), Shenzhen. 2013.
Defining position in a core ontology for robotics.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), Tokyo, 2013.
Providing volunteer computing at the infrastructure level to support e-Science applications.
VII e-Science Workshop (BreSci - CSBC 2013), Maceió, 2013.
Robot ontologies for sensor- and image-guided robotic surgery systems.
IEEE International Symposium on Robotic and Sensors Environments (ROSE 2013), Washington, 2013.
Just-in-time clouds: uma abordagem para federação de clouds privadas.
31th Brazilian Symposium on Computer Networks and Distributed Systems (Salão de Ferramentas - SBRC 2013), Brasília, 2013.
Auto-tuning methodology to represent landform attributes on multicore and multi-GPU systems.
II Workshop de Sistemas Distribuídos Autonômicos (WoSiDA - SBRC 2012), Ouro Preto, 2012.
Heterogeneous computational model for landform attributes representation on multicore and multi-GPU systems.
20th International Conference on Computational Science (ICCS 2012), Omaha, 2012.
Nesting the context for pervasive robotics.
Smart Gadgets Meet Ubiquitous and Social Robots on the Web (UbiRobots - UBICOMP 2012), Pittsburgh, 2012.
Towards an upper ontology and methodology for robotics and automation.
Smart Gadgets Meet Ubiquitous and Social Robots on the Web (UbiRobots - UBICOMP 2012), Pittsburgh, 2012.
Parallel algorithm for landform attributes representation on multicore and multi-GPU systems.
12th International Conference on Computational Science and its Applications (ICCSA 2012), Salvador, 2012.
A P2P-based model for high-performance grid computing.
Congreso Internacional de Telemática y Telecomunicaciones (CITTEL 2006), Havana, 2006.
Tolerância a falhas no modelo MultiCluster.
Escola Regional de Redes de Computadores (ERRC 2005), Santa Cruz do Sul, 2005.
Collective communication in DECK parallel programming environment.
International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2003), Montreal, 2003.
Performance analysis of DECK collective communication service.
Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2003), São Paulo, 2003.
DECK-SCI: High-performance communication and multithreading for SCI clusters.
International Conference on Cluster Computing (CLUSTER 2001), New Port Beach, 2001.
Low latency and zero copy message passing protocols for SCI-based clusters.
Symposium on Computer Architecture and High Performance Processing (SBAC-PAD 2001), Pirenópolis, 2001.
The Scalable Coherent Interface (SCI) as an alternative for cluster interconnection.
Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2001), Pirenópolis, 2001.
Performance evaluation of DECK combining multithreading and communication on Myrinet and SCI clusters.
International Conference on Parallel and Distributed Processing, Techniques and Applications (PDPTA 2001), Las Vegas, 2001.
A comparative study on low-level APIs for Myrinet and SCI-based clusters.
4th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2000), Orlando, 2000.
DECK: an environment for parallel programming on clusters of multiprocessors.
Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2000), São Pedro, 2000.
OptiSCI: a visual environment to optimize the placement of shared memory segments on a SCI cluster.
Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2000), São Pedro, 2000.
DPC++: object-oriented programming applied to cluster computing.
Parallel and Distributed Processing, Techniques and Applications (PDPTA 2000), Las Vegas, 2000.
Group communication service for DECK - a communication kernel.
Conferencia Latinoamericana de InformÁtica (CLEI 2000), AtizapÁn de Zaragoza, 2000.
Implementation of the DECK environment with BIP.
First Myrinet Users Group Conference (MUG 2000), Lyon, 2000.
The MultiCluster model to the integrated use of multiple workstation clusters.
15th International Parallel and Distributed Processing Symposium (IPDPS 2000), Cancún, 2000.
DECK: a new model for a distributed executive kernel integrating communication and multithreading for support of distributed object-oriented applications with fault tolerance support.
Congreso Argentino de Ciencias de la ComputÁcion (CACiC 1998), Neuquén, 1998.
Suporte a tolerância a falhas no ambiente de programação DPC++. I Workshop de Tolerância a Falhas (WTF 1998), Porto Alegre, 1998.
Implementação de um algoritmo de criação de checkpoints para a linguagem distribuída DPC++.
Congresso Argentino de Ciencia de la Computación (CACiC 1997), La Plata, 1997.
Mecanismo de tolerância a falhas para a linguagem distribuída DPC++.
Simpósio Brasileiro de Arquiteturas de Computadores e Processamento de Alto Desempenho (SBAC-PAD 1997), Campos do Jordão, 1997.
Conference short papers/posters
One capability or many? Structural and predictive tests of benchmark validity disagree about economic benchmarks for frontier AI.
Author: Louis Yiven Zhu; Draft paper reviewer: Marcos Barrreto.
arXiv. (accepted as poster at NeurIPS 2026 workshop on AI for Meta-Science)
Large-scale geocoding via iterative deduplication: Building a unified address database in Brazil with CIDACS-RL.
IPDLN 2026. Rotterdam, the Netherlands, 2026.
Enhancing geocoding in Brazil through language model-based preprocessing.
IPDLN 2026. Rotterdam, the Netherlands, 2026.
The pedagogical equity challenge: how GenAI amplifies learning inequalities and what we can do about it.
Cambridge Generative AI in Education Conference. Cambridge, UK, 2025.
Brazilian governmental database linkage to correct the municipalities underreported cases in a time-dependent cluster analysis on COVID-19.
IPDLN 2022. Edinburgh, Scotland, 2022.
Using linked administrative data to build a Social Disparities Index for Covid-19 to evaluate the effects of inequalities on pandemic in Brazil.
IPDLN 2022. Edinburgh, Scotland, 2022.
Novel approach to estimating sex differences unconfounded by familial factors from studying male-female twin pairs.
WCE 2021. Melbourne, Australia, 2021.
Early Childhood Development Friendly Index (IMAPI): assessing the enabling environment for nurturing care in Brazilian municipalities.
Nutrition 2020. Seatle, USA, 2020.
Linked administrative data governance: potentials and challenges for public health research purposes.
Second Latin American and the Caribbean Scientific Data Management Workshop (LAC SDM 2020). São Paulo, Brazil, 2020.
Enabling the health research on huge administrative data: The CIDACS' 100 Million Brazilian Cohort platform study case.
Second Latin American and the Caribbean Scientific Data Management Workshop (LAC SDM 2020). São Paulo, Brazil, 2020.
Integração e mineração visual de dados para estudo da malária no Brasil.
54o Congresso da Sociedade Brasileira de Medicina Tropical (MEDTROP 2018), Recife, 2018.
Linking surveillance and climate data to combat malaria.
International Population Data Linkage Conference (IPDLN 2018), Alberta, 2018.
Interactive data visualization of malaria using R Shiny.
Simpósio Nacional de Probabilidade e Estatística (SINAPE 2018), São Pedro, 2018.
Aprendizado por Reforço em Arquiteturas big.LITTLE.
4a Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2017), Salvador, 2017.
Large-scale data fusion of Brazilian socioeconomic and public health databases.
The Royal Society Research Fellows' Conference 2017, London, 2017.
Applying machine learning to improve the accuracy of probabilistic linkage.
Annual Conference of the Administrative Data Research Network (ADRN 2017), Edinburgh, 2017.
Assessing the accuracy of probabilistic record linkage applied to the Brazilian 100 million cohort project.
International Conference on Biomedical and Health Informatics (BHI 2017), Orlando, 2017. Best Poster and
Rapid Fire Presentation Award
A Estatística na pesquisa em big data. Congresso UFBA 70 Anos, Salvador, 2016.
Avaliação de acurácia em procedimentos de linkage probabilístico em grandes bases de dados.
61a Reunião Anual da Região Brasileira da Sociedade Internacional de Biometria (RBras 2016), Salvador, 2016.
Assessing the impact of social policies on health in Brazil: the 100 million cohort project.
2nd UCL Workshop on the Theory of Big Data, London, 2016.
BAMBU: A metropolitan innovation testbed for promoting future internet research.
SwitchOn Workshop, São Paulo, 2015.
Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems.
13th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2013), Almeria, 2013.
Análise comparativa de ambientes e linguagens para computação intensiva de dados na nuvem.
Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2013), Salvador, 2013.
Análise comparativa de propostas de dependabilidade aplicadas à computação intensiva de dados.
Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2013), Salvador, 2013.
GT-MC2: minha cloud científica.
XIII Workshop da Rede Nacional de Ensino e Pesquisa (WRNP - SBRC 2012), Ouro Preto, 2012.
Computação em nuvem com o Google App Engine.
Escola Regional de Alto Desempenho (ERAD-RS 2010), Passo Fundo, 2010.
Desenvolvimento de um serviço de notificação de eventos em redes par-a-par.
Escola Regional de Alto Desempenho (ERAD-RS 2006), Ijuí, 2006.
Book chapters & organisation
Inteligência artificial e COVID-19.
In: Construção de conhecimento no curso da pandemia de COVID-19: aspectos biomédicos, clínico-assistenciais,
epidemiológicos e sociais. Salvador: Edufba, 2020. v.2.
Anais do XX Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2020).
Porto Alegre: SBC, 2020, vi. 511p. (SBC OpenLib)
Livro de Minicursos do SBCAS 2020. Coordenação geral: Paulo Eduardo Ambrósio (UESC),
Marcos Ennes Barreto (UFBA), Porto Alegre: SBC, 2020, vi. 193p.
Anais da IV Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2017). Salvador: UFBA, 2017
(Website)
Anais da III Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2015). Maceió: UFAL, 2015
Computação paralela e distribuída utilizando sistemas multicore e multi-GPU.
Sistemas computacionais. 1 ed. Porto Alegre: Sociedade Brasileira de Computação, 2013, v. 1, p. 30-60.
Anais da II Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2013). Salvador: IFBA, 2013
(Website)
Modelagem computacional da espacialização do relevo na região agrícola do Vale do Rio São Francisco.
Pesquisas Aplicadas em Modelagem Matemática. 1 ed. Ijuí: Unijuí, 2012, v.1, p. 10-20.
Modelagem computacional da espacialização de variáveis meteorológicas na região agrícola do Vale do Rio São Francisco.
Pesquisas Aplicadas em Modelagem Matemática. 1 ed. Ijuí: Unijuí, 2012, v.1, p. 30-40.
Anais da I Escola Regional de Alto Desempenho - Região Nordeste (ERAD-NE 2011). Ilhés: UESC, 2011
(Website)
Anais da V Escola Regional de Alto Desempenho (ERAD-RS 2005). Porto Alegre: SBC, 2005, vi 204p
(Website)
Gerência de recursos em ambientes de grade.
Anais da V Escola Regional de Alto Desempenho (ERAD-RS 2005). Porto Alegre: SBC, 2005, v.1, p. 123-152.
Standards and technical work
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IEEE Standard for Autonomous Robotics (AuR) Ontology.
This standard extends IEEE Std 1872-2015 (IEEE Standard for Ontologies for Robotics and Automation), to represent additional domain-specific concepts, definitions, and axioms commonly used in Autonomous Robotics (AuR). This standard is general and can be used in many ways--for example, to specify the domain knowledge needed to unambiguously describe the design patterns of AuR systems; to represent AuR system architectures in a unified way; or as a guideline to build autonomous systems consisting of robots operating in various environments. |
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See our technical reports and publication on the analysis of Covid-19 in Brazil. |
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Longitudinal Studies Strategic Review Report 2017. Economic and Social Research Council (ESRC). I have contributed to this report as an Associate Researcher at UCL and CIDACS. |
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IEEE Standard Ontologies for Robotics and Automation.
Recipient of the IEEE-SA Emerging Technology Award. In 2016, the standard was mentioned by President Barack Obama during the White House Frontiers Conference, which highlighted five science and technology frontiers. One of them, the National Frontier, focuses on the role of AI, machine learning, automation and robotics in addressing complex national problems. The standard was included in The National AI Research and Development Strategic Plan (page 32), authored by the National Science and Technology Council from the Executive Office of the USA Presidency. |