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<span>Daniel de Oliveira<small>Institute of Computing / UFF</small></span>
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<div class="kicker"><span></span> PUBLICATIONS / EVENTS / RESULTS</div>
<h1>News & Updates</h1>
<p>Here you can find the latest news, interviews, and updates related to my research, teaching, and collaborations. Stay tuned for new insights and developments.</p>
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<div class="kicker">LATEST</div>
<h2>Publications and news</h2>
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<a class="text-link" href="https://uffescience.ic.uff.br/publicacoes/" target="_blank" rel="noreferrer">All UFFeScience publications <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M5 12h14"/><path d="m12 5 7 7-7 7"/></svg></a>
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<article class="publication-preview">
<img class="publication-cover" src="arquivos/luan_inria.jpg" alt="UFFeScience visit to INRIA Bordeaux and the TADaaM Group" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">UFFeScience Visits INRIA Bordeaux as Part of the DECoHPC Équipe Associée</h3>
<div class="expandable">
<div class="expandable-body"><p>🌍 <strong>International collaboration in action!</strong></p>
<p>As part of our internationalization initiatives and the activities of the <strong>DECoHPC Équipe Associée</strong>, members of the <strong>UFFeScience Research Group</strong> had the opportunity to visit <strong>INRIA Bordeaux</strong> and meet with <a href="https://www.linkedin.com/in/luan-teylo-18056b35/" target="_blank" rel="noopener"><strong>Dr. Luan Teylo</strong></a>, a researcher from the <strong>TADaaM Group</strong>.</p>
<p>During the visit, Prof. <a href="https://www.linkedin.com/in/daniel-de-oliveira-b258368/" target="_blank" rel="noopener"><strong>Daniel de Oliveira</strong></a> and <strong>Wesley Ferreira</strong>, a Master's student at <strong>Universidade Federal Fluminense (UFF)</strong>, discussed ongoing research on <strong>containerized workflow scheduling</strong>, particularly in the context of Wesley's Master's dissertation.</p>
<p>The meeting provided an excellent opportunity to exchange ideas, strengthen collaborations, and explore new research directions in <strong>scientific workflows across the computing continuum</strong>.</p>
<p><strong>🎤 Research presentations:</strong></p>
<p>🔹 <strong>Prof. Daniel de Oliveira</strong> presented <strong>"Federated Outlier Detection for LSST-Scale Astronomical Data in Clouds"</strong>, which discussed the challenges of applying Federated Learning to outlier detection in large-scale astronomical surveys, investigating performance, scalability, and cost trade-offs in distributed cloud environments.</p>
<p>🔹 <strong>Wesley Ferreira</strong> presented <strong>"AkôFlow: A Container-based and Provenance-Aware Workflow Engine for Portable Execution Across the Computing Continuum"</strong>, which introduced AkôFlow, an open-source workflow engine designed to support portable, provenance-aware, and resource-efficient execution of containerized workflows across heterogeneous environments, including HPC systems, clusters, and cloud infrastructures.</p>
<p>🙏 We thank the <strong>TADaaM Group</strong> and <strong>INRIA Bordeaux</strong> for the warm welcome and stimulating discussions. Initiatives such as this reinforce the importance of international scientific cooperation in advancing research and fostering innovation.</p></div>
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<p class="directory-note" style="margin:0 0 12px">#UFFeScience #Internationalization #ResearchCollaboration #ScientificWorkflows #HPC #FederatedLearning #INRIA #TADaaM #DECoHPC</p>
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</article>
<article class="publication-preview">
<img class="publication-cover" src="arquivos/debora_bsc.jpg" alt="UFFeScience visit to the Barcelona Supercomputing Center" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">UFFeScience Visits the Barcelona Supercomputing Center (BSC)</h3>
<div class="expandable">
<div class="expandable-body"><p>🇪🇸 <strong>A visit to one of Europe's leading supercomputing centers!</strong></p>
<p>In June, we had the opportunity to visit the <strong>Barcelona Supercomputing Center (BSC)</strong>, where we were warmly hosted by <a href="https://www.linkedin.com/in/deborabpina/" target="_blank" rel="noopener"><strong>Dr. Débora Pina</strong></a>.</p>
<p>The visit provided an excellent opportunity to learn more about the BSC and to visit <strong>MareNostrum 5</strong>, a pre-exascale <strong>EuroHPC</strong> supercomputer hosted at BSC, as well as BSC's <strong>quantum computer</strong>.</p>
<p>🙏 We sincerely thank Dr. Débora Pina for her warm hospitality.</p></div>
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<p class="directory-note" style="margin:0 0 12px">#UFFeScience #UFF #BSC #MareNostrum5 #EuroHPC #HPC #QuantumComputing #Internationalization #ResearchCollaboration</p>
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</article>
<article class="publication-preview">
<img class="publication-cover" src="arquivos/premio_bresci.jpeg" alt="PhyloTreeMiner receives Best Paper Award at BreSci 2026" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">PhyloTreeMiner Receives Best Paper Award at BreSci 2026</h3>
<div class="expandable">
<div class="expandable-body"><p>🏆 <strong>More good news from SBBD!</strong></p>
<p>Our paper received the <strong>Best Paper Award</strong> at the <strong>XX Brazilian e-Science Workshop (BreSci 2026)</strong>, held at the <a href="https://www.linkedin.com/company/sbbd/" target="_blank" rel="noopener"><strong>Brazilian Symposium on Databases (SBBD)</strong></a>!</p>
<p><strong>"Frequent Subtree Mining in Phylogenetic Trees using Maximal Frequent Itemsets"</strong> is the work of <strong>João Vitor Moraes</strong> and <strong>Layse Gomes Castro</strong>, together with <strong>Isabel Rosseti</strong> and <a href="https://www.linkedin.com/in/daniel-de-oliveira-b258368/" target="_blank" rel="noopener"><strong>Daniel de Oliveira</strong></a>, all from <strong>IC/UFF</strong>.</p>
<p>Different methods produce different phylogenetic trees from the same dataset, and <strong>consensus trees</strong>, the usual way out, tend to hide topological conflicts and discard relevant evolutionary signal.</p>
<p><strong>💡 Our approach:</strong></p>
<p><strong>PhyloTreeMiner</strong> offers an alternative to consensus: mining <strong>frequent subtrees</strong> to identify recurring topological patterns based on support values. We model the problem as <strong>maximal frequent itemset mining (FPMax)</strong>, which substantially reduces the computational cost, and store the results in <strong>Neo4j</strong>, enabling queries that combine topology and metadata.</p>
<p>📄 <strong>Paper:</strong> <a href="https://sol.sbc.org.br/index.php/bresci/article/view/44072" target="_blank" rel="noopener">SBC OpenLib (SOL)</a></p>
<p>👏 Congratulations, João Vitor and Layse — this award is yours!</p></div>
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<p class="directory-note" style="margin:0 0 12px">#BreSci2026 #eScience #Phylogenetics #Bioinformatics #DataMining #Neo4j #UFF</p>
</div>
</article>
<article class="publication-preview">
<img class="publication-cover" src="arquivos/defesa_marcello.jpeg" alt="Marcello Ribeiro Ph.D. thesis defense at IC/UFF" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">Marcello Ribeiro Defends Ph.D. Thesis on Scheduling Scientific Workflows in Hybrid VM–Serverless Clouds</h3>
<div class="expandable">
<div class="expandable-body"><p>🎓 <strong>We have a new Doctor!</strong></p>
<p>We are proud to announce that <a href="https://www.linkedin.com/in/marcello-ribeiro-54b35534/" target="_blank" rel="noopener"><strong>Marcello Ribeiro</strong></a> successfully defended his Ph.D. thesis, <strong>"An Approach for Scheduling Scientific Workflows in Hybrid VM–Serverless Cloud Environments,"</strong> on October 6 and is now the newest Doctor at the <a href="https://www.linkedin.com/in/instituto-de-computa%C3%A7%C3%A3o-uff/" target="_blank" rel="noopener"><strong>Instituto de Computação</strong></a> at <a href="https://www.linkedin.com/school/universidade-federal-fluminense/" target="_blank" rel="noopener"><strong>Universidade Federal Fluminense</strong></a> (IC/UFF).</p>
<p>Workflows increasingly execute on elastic cloud infrastructures, where <strong>serverless functions</strong> now coexist with traditional <strong>Virtual Machines</strong>. Each model has its own performance, pricing, and operational constraints, so a scheduler must decide not only <em>when</em> each activation runs, but also <em>where</em>.</p>
<p><strong>💡 Contributions:</strong></p>
<p>Marcello's thesis tackles this underexplored heterogeneous scheduling problem with three complementary contributions:</p>
<p>🔹 <strong>Denethor</strong>, a provenance capture system for workflows running on serverless platforms, providing empirical execution time and cost data;<br>
🔹 <strong>FLEXE+IP</strong>, an integer programming model that formulates the scheduling problem;<br>
🔹 <strong>FLEXE+</strong>, a GRASP-based heuristic with VND local search that jointly chooses the execution environment and the execution order, balancing makespan and financial cost.</p>
<p>Experiments with synthetic workflows and a large-scale real bioinformatics workflow show that FLEXE+ reduces makespan or cost depending on the prioritized objective, while reaching near-optimal solutions on instances where the exact model is tractable.</p>
<p>Marcello was advised by Profs. <a href="https://www.linkedin.com/in/daniel-de-oliveira-b258368/" target="_blank" rel="noopener"><strong>Daniel de Oliveira</strong></a> (UFF) and <strong>Isabel Rosseti</strong> (UFF).</p>
<p>Our thanks to the examiners for the insightful discussion: <strong>Simone Martins</strong> (UFF), <strong>Yuri Frota</strong> (UFF), <a href="https://www.linkedin.com/in/marta-mattoso-12016a24/" target="_blank" rel="noopener"><strong>Marta Mattoso</strong></a> (COPPE/UFRJ), <a href="https://www.linkedin.com/in/luan-teylo-18056b35/" target="_blank" rel="noopener"><strong>Luan Teylo</strong></a> (INRIA), <a href="https://www.linkedin.com/in/rafaelli-coutinho-3a7735140/" target="_blank" rel="noopener"><strong>Rafaelli Coutinho</strong></a> (Cefet/RJ), and <a href="https://www.linkedin.com/in/ubiratam-carvalho-de-paula-junior-512a9a77/" target="_blank" rel="noopener"><strong>Ubiratam Carvalho de Paula Junior</strong></a> (UFRRJ).</p>
<p>🎉 Marcello, thank you for your dedication and for all the contributions you brought to our group over these years. Well deserved!</p></div>
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<p class="directory-note" style="margin:0 0 12px">#PhD #CloudComputing #Serverless #ScientificWorkflows #Scheduling #Metaheuristics #UFF #eScience</p>
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</article>
<article class="publication-preview">
<img class="publication-cover" src="arquivos/premio_valesca1.jpeg" alt="ANCHOR paper receives Honorable Mention at SBBD 2026" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">ANCHOR Receives Honorable Mention at SBBD 2026</h3>
<div class="expandable">
<div class="expandable-body"><p>🏆 <strong>Proud to share this one!</strong></p>
<p><a href="https://www.linkedin.com/in/valesca-moura/" target="_blank" rel="noopener"><strong>Valesca Moura</strong></a>'s master's research, advised by <strong>Sandro Fiorini</strong> and <a href="https://www.linkedin.com/in/daniel-de-oliveira-b258368/" target="_blank" rel="noopener"><strong>Daniel de Oliveira</strong></a>, received an <strong>Honorable Mention at SBBD 2026</strong>!</p>
<p>The paper <strong>"A Provenance Data-Oriented Approach for Agentic Workflow Traceability"</strong> tackles a problem that grows with every new AI agent deployment: when an LLM decides tasks and data dependencies, how do we know <em>why</em> a workflow ended up the way it did?</p>
<p><strong>💡 Our approach:</strong></p>
<p><strong>ANCHOR</strong> captures provenance from agentic workflows by instrumenting the agent framework itself and representing the data according to the <strong>W3C PROV</strong> standard. This makes it possible to analyze agents' decisions and their impact on the generated workflow, at a finer granularity than existing approaches offer.</p>
<p>📄 <strong>Paper:</strong> <a href="https://sol.sbc.org.br/index.php/sbbd/article/view/43963/43726" target="_blank" rel="noopener">SBC OpenLib (SOL)</a><br>
💻 <strong>Code:</strong> <a href="https://github.com/UFFeScience/anchor" target="_blank" rel="noopener">github.com/UFFeScience/anchor</a></p>
<p>👏 Congratulations, Valesca!</p></div>
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<p class="directory-note" style="margin:0 0 12px">#UFF #UFFeScience #SBBD2026 #AgenticAI #AgenticWorkflows #Provenance #W3CPROV #Research</p>
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</article>
<article class="publication-preview">
<img class="publication-cover" src="arquivos/ornl_internship.jpeg" alt="UFF student internship at ORNL" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">UFFeScience Student Begins Internship at Oak Ridge National Laboratory (ORNL)</h3>
<div class="expandable">
<div class="expandable-body"><p>🚀 <strong>International research collaboration in action!</strong></p>
<p>We are excited to share that <strong>Valesca Moura</strong>, a Master's student at the Institute of Computing at <strong>Universidade Federal Fluminense (UFF)</strong>, advised by me and member of the <strong>UFFeScience Research Group</strong>, has started an internship at the <strong>Oak Ridge National Laboratory (ORNL)</strong>.</p>
<p>During her internship, Valesca will work on her Master's dissertation topic, <strong>"Provenance Management for Agentic Workflows"</strong>, collaborating closely with the ORNL research team to advance this important area of study.</p>
<p>Her work will be supervised by <strong>Renan Souza</strong>, strengthening the collaboration between <strong>IC/UFF</strong>, <strong>UFFeScience</strong>, and <strong>ORNL</strong>.</p>
<p><strong>💡 Why this matters:</strong></p>
<p>This internship represents an important step in advancing research on <strong>agentic systems</strong> and <strong>provenance management</strong>, while also fostering international scientific collaboration.</p>
<p>It provides a valuable opportunity to connect academic research with real-world challenges in high-performance and distributed computing environments.</p>
<p>🎉 Congratulations to Valesca on this achievement! We wish her a successful and rewarding experience at ORNL.</p></div>
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<p class="directory-note" style="margin:0 0 12px">#UFF #UFFeScience #ORNL #Research #Internship #AgenticAI #ProvenanceManagement #ScientificCollaboration</p>
</div>
</article>
<article class="publication-preview">
<img class="publication-cover" src="arquivos/general.png" alt="Concurrency and Computation" loading="lazy">
<div class="publication-preview-content">
<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://link.springer.com/article/10.1007/s42979-025-04582-1" target="_blank" rel="noreferrer">New Paper in Concurrency and Computation: MemoirGRASP</a></h3>
<div class="expandable">
<div class="expandable-body"><p>🔬 <strong>Do we really need to recompute everything?</strong></p>
<p>In many scientific workflows, the same pipelines are executed repeatedly with only small changes in parameters or datasets. Yet, most systems still <strong>recompute everything from scratch</strong>.</p>
<p>This inefficiency motivated a question that led to our recent research.</p>
<p>I’m happy to share that our paper <strong>“Have We Seen these Data Before? A GRASP-based Execution Strategy for Cloud-based Workflows with Memoization”</strong> has been <strong>accepted for publication in <em>Concurrency and Computation: Practice and Experience</em></strong> 🎉</p>
<p><strong>💡 Key idea:</strong></p>
<p>Instead of recomputing intermediate results, why not <strong>reuse computations that were already performed before</strong>?</p>
<p>In this work we propose <strong>MemoirGRASP</strong>, a workflow execution strategy based on the <strong>GRASP metaheuristic</strong> that leverages <strong>memoization</strong> to detect and reuse previously computed intermediate data across workflow executions.</p>
<p><strong>📊 What we found:</strong></p>
<p>Experiments with synthetic workflows and real-world applications such as <strong>Montage</strong> and <strong>Phenomenal</strong> show that reusing intermediate results can significantly <strong>reduce redundant computation and improve execution efficiency in multisite cloud environments</strong>.</p>
<p>🤝 This work is the result of a great international collaboration between researchers from <strong>Universidade Federal Fluminense (UFF)</strong>, <strong>University of Göttingen</strong>, <strong>Inria / University of Montpellier</strong>, <strong>CNRS</strong>, and <strong>LNCC</strong>.</p>
<p>Grateful to all co-authors for this collaboration and excited to see how these ideas can help make <strong>scientific computing more efficient and sustainable</strong>.</p></div>
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<p class="directory-note" style="margin:0 0 12px">#ScientificWorkflows #CloudComputing #DistributedSystems #HighPerformanceComputing #Research</p>
<a class="publication-read" href="https://link.springer.com/article/10.1007/s42979-025-04582-1" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/SN.jpeg" alt="SN Computer Science Paper" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://link.springer.com/article/10.1007/s42979-025-04582-1" target="_blank" rel="noreferrer">New Paper in SN Computer Science: CYCLOPS</a></h3>
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<div class="expandable-body"><p>A new paper has been published in <strong>SN Computer Science</strong> introducing <em>CYCLOPS</em>, a novel approach for executing cloud-based scientific workflows with strong <strong>data confidentiality guarantees</strong>, without compromising performance or cost efficiency.</p>
<p>This work was led by <strong>Rodrigo A. P. Silva</strong> during his PhD, in collaboration with <strong>Wesley Ferreira</strong>, <strong>Esther Pacitti</strong>, <strong>Yuri Frota</strong>, and <strong>Daniel de Oliveira</strong>.</p>
<p>CYCLOPS addresses a fundamental challenge in cloud computing: <em>how to efficiently execute complex, data-intensive scientific workflows in public clouds while protecting sensitive data and preventing unintended information leakage</em>. To tackle this, the approach jointly optimizes <strong>workflow scheduling</strong> and <strong>data placement</strong>, instead of treating them as independent problems.</p>
<p>Importantly, <strong>CYCLOPS</strong> does not rely on private or on-premise infrastructure. It is designed specifically for <strong>public cloud environments</strong>, enforcing confidentiality through intelligent scheduling decisions, data dispersion strategies, and awareness of heterogeneous security capabilities.</p>
<p>Congratulations to the entire team on this exciting contribution! <span aria-label="rocket" role="img">🚀</span></p></div>
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<p class="directory-note" style="margin:0 0 12px">#SNComputerScience #ScientificWorkflows #CloudComputing #DataConfidentiality #CYCLOPS</p>
<a class="publication-read" href="https://link.springer.com/article/10.1007/s42979-025-04582-1" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/premioWesley.jpeg" alt="SBBD 2025 Conference" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://sol.sbc.org.br/index.php/bresci/article/view/36911" target="_blank" rel="noreferrer">SBBD 2025 Best Demo Award</a></h3>
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<div class="expandable-body"><p><strong>Wesley Ferreira</strong> won the <em>Best Demo Award</em> at <strong>SBBD 2025</strong> with the paper “<em>Plug and Flow: Executing Scientific Workflows in Containers with the AkôFlow Middleware</em>,” co-authored with Liliane Kunstmann, Raphael Reis Garcia, Marcos Bedo, Aline Paes, and Daniel de Oliveira.</p>
<p>The demo showcased <strong>AkôFlow</strong>, a middleware built on top of Kubernetes to support the parallel execution of scientific workflows in containerized environments. AkôFlow enables automatic scaling of workflow activities, each running in distinct Docker images, while also providing native provenance data capture. The paper demonstrated its use in the astronomy workflow <em>Montage</em>, exploring different resource allocation strategies. Beyond the technical contribution, this work highlights how innovative middleware solutions can foster scalable and reproducible scientific data processing.</p>
<p>Congratulations, <strong>Wesley Ferreira</strong>, and the entire team, for this achievement at SBBD 2025! <span aria-label="trophy" role="img">🏆</span></p></div>
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<p class="directory-note" style="margin:0 0 12px">#BestDemo2025 #SBBD2025 #BRACIS2025 #Containers #Workflows #BigData</p>
<a class="publication-read" href="https://sol.sbc.org.br/index.php/bresci/article/view/36911" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/certificado.jpeg" alt="SBBD 2025 Conference" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://sol.sbc.org.br/index.php/bresci/article/view/36911" target="_blank" rel="noreferrer">BreSci 2025 Best Paper Award</a></h3>
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<div class="expandable-body"><p><strong>Paula Woyames</strong>, winner of the <em>Best Paper Award</em> at <strong>BreSci 2025</strong> with the work “<em>Evaluating the Capability of LLMs to Specify Workflows</em>,” co-authored with Débora Pina, Liliane Kunstmann, Marta Mattoso, and Daniel de Oliveira. <span aria-label="trophy" role="img">🏆</span></p>
<p>The paper evaluated the use of Large Language Models (LLMs) to specify workflows from natural language descriptions. It compared three models (GPT-4o, DeepSeek V3, and Command-A), two prompt strategies, and four workflow systems (Nextflow, Parsl, Dask, and Airflow), applied to workflows of varying complexity.</p>
<p>Congratulations to Paula Woyames and the entire team for this achievement at BreSci 2025!</p></div>
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<p class="directory-note" style="margin:0 0 12px">#BreSci2025 #SBBD2025 #BRACIS2025 #LLMs #UFFeScience #BigData</p>
<a class="publication-read" href="https://sol.sbc.org.br/index.php/bresci/article/view/36911" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/outlier.png" alt="SBBD 2025 Conference" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://sscad.sbc.org.br/2025/" target="_blank" rel="noreferrer">Paper accepted at SSCAD 2025!!</a></h3>
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<div class="expandable-body"><p>We are pleased to announce that our paper <strong>“Federated Outlier Detection for Astronomical Data: Performance Analysis on Commercial Clouds”</strong> has been accepted at <strong>SSCAD 2025</strong>, to be held in Bonito, MS, Brazil! ✨</p>
<p>This work is part of <strong>Camila Lopes’</strong> PhD thesis, supervised by <strong>Prof. Daniel de Oliveira</strong> and <strong>Prof. Aline Paes</strong>, and developed in collaboration with:</p>
<p>🔭 The paper investigates how <strong>Federated Learning (FL)</strong> can be applied to <strong>outlier detection in large astronomical catalogs</strong>, addressing scalability challenges from surveys such as the <em>Dark Energy Survey (DES)</em> and the upcoming <em>Legacy Survey of Space and Time (LSST)</em>. We emulate FL deployments on <strong>Amazon Web Services (AWS)</strong>, evaluating different compute configurations. The results show the trade-offs between training time and financial cost, providing valuable insights for configuring FL workflows at LSST scale.</p>
<p><strong>Congratulations to all authors!</strong> 🙌</p></div>
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<p class="directory-note" style="margin:0 0 12px">#Astronomy #FederatedLearning #MachineLearning #CloudComputing #SSCAD2025 #BigData</p>
<a class="publication-read" href="https://sscad.sbc.org.br/2025/" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/heatmatrix-continua-case01.png" alt="SBBD 2025 Conference" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://sibgrapi.sbc.org.br/2025/" target="_blank" rel="noreferrer">Paper accepted at SIBGRAPI 2025</a></h3>
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<div class="expandable-body"><p>Excited to share that our paper <strong>“Real-time monitoring and historical analysis of rainfall and its impacts on urban areas”</strong> has been accepted for <strong>SIBGRAPI 2025</strong> in Salvador! 🎉</p>
<p>This paper is the result of <strong>Fabio Victorino da Cruz</strong>’s master’s thesis, supervised by <strong>Prof. Marcos Lage</strong> and <strong>Prof. Daniel de Oliveira</strong>, with the collaboration of <strong>Prof. Aline Paes</strong> and <strong>Prof. Fabio Miranda</strong>.</p>
<p>Our work presents the <strong>PluvWeb system</strong>, which integrates data from multiple sources, modalities, granularities, and formats to analyze the impact of rainfall in urban areas.</p>
<p>We look forward to presenting our findings and engaging with the community at <strong>SIBGRAPI 2025</strong>.</p></div>
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<p class="directory-note" style="margin:0 0 12px">#SIBGRAPI2025 #UrbanFlooding #RainfallMonitoring #SmartCities #Research</p>
<a class="publication-read" href="https://sibgrapi.sbc.org.br/2025/" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/defesaAnnie.jpeg" alt="SBBD 2025 Conference" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px">PhD Qualification Exam Announcement</h3>
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<div class="expandable-body"><p>We congratulate <strong>Annie Amorim</strong> on successfully passing her PhD Qualification Exam with the research:</p>
<p>Annie is advised by <strong>Prof. Aline Paes</strong> and <strong>Prof. Daniel de Oliveira</strong>, with <strong>Prof. Artur Jordão (USP)</strong> and <strong>Flavia Bernardini (IC/UFF)</strong> serving as examiners.</p>
<p>A well-deserved recognition for her outstanding work.</p></div>
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<img class="publication-cover" src="arquivos/cropped-cropped-logos.png" alt="SBBD 2025 Conference" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://sbbd.org.br" target="_blank" rel="noreferrer">Research Group Achievements at SBBD 2025</a></h3>
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<div class="expandable-body"><p>Our research group is proud to announce its strong presence at the <strong>Brazilian Symposium on Databases (SBBD 2025)</strong>, which will take place in Fortaleza from September 29 to October 2. We had <strong>six full papers</strong> and <strong>two short papers</strong> accepted, showcasing the quality and diversity of our ongoing work. Notably, the short paper derived from <strong>Lyncoln Oliveira’s PhD thesis</strong>, entitled <em>“Towards Enabling the Analysis of Visual Exploration Processes through Interaction Provenance”</em>, has been nominated for the <strong>Best Short Paper Award</strong>.</p>
<p>In addition to these publications, we will also present a <strong>demo</strong>, two contributions at the <strong>Brazilian eScience Workshop</strong>, and our postdoctoral researcher <strong>Débora Pina</strong> will deliver a keynote at the <strong>DSW</strong>. This collective achievement reflects the dedication, creativity, and collaborative spirit of the entire team led by Professor <strong>Daniel de Oliveira</strong>.</p></div>
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<a class="publication-read" href="https://sbbd.org.br" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="arquivos/cancer-de-pulmao.webp" alt="AI for Lung Cancer Diagnosis" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://www.cnnbrasil.com.br/saude/ia-desenvolvida-no-brasil-pode-facilitar-o-diagnostico-de-cancer-de-pulmao/#goog_rewarded" target="_blank" rel="noreferrer">Brazilian AI may facilitate lung cancer diagnosis</a></h3>
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<div class="expandable-body"><p>Researchers in Brazil have developed an artificial intelligence system capable of assisting in the early detection of lung cancer, one of the leading causes of cancer-related deaths worldwide. The technology aims to improve diagnostic accuracy, reduce waiting times, and support healthcare professionals. Daniel de Oliveira, professor at the Institute of Computing at Fluminense Federal University (UFF), highlights the role of advanced computing and collaborative research in making this innovation possible.</p></div>
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<a class="publication-read" href="https://www.cnnbrasil.com.br/saude/ia-desenvolvida-no-brasil-pode-facilitar-o-diagnostico-de-cancer-de-pulmao/#goog_rewarded" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<div style="position:relative;aspect-ratio:16/9;background:#061a2f"><iframe src="https://www.youtube.com/embed/uEAy256MvNk" title="Interview for the 'Boletim Ciência' program at FioCruz to talk about research in the context of the LSST project (in Portuguese)" loading="lazy" style="position:absolute;inset:0;width:100%;height:100%;border:0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe></div>
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://www.youtube.com/live/uEAy256MvNk" target="_blank" rel="noreferrer">Interview for the 'Boletim Ciência' program at FioCruz to talk about research in the context of the LSST project (in Portuguese)</a></h3>
<div class="expandable">
<div class="expandable-body"><p>In this interview, the host Neide Diniz talks with Luiz Nicolaci, director of LIneA – Interinstitutional Laboratory for e-Astronomy and coordinator at the National Institute of Technology (INCT), and Daniel de Oliveira, professor at the Institute of Computing, Fluminense Federal University (UFF)</p></div>
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<a class="publication-read" href="https://www.youtube.com/live/uEAy256MvNk" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<img class="publication-cover" src="https://olhardigital.com.br/wp-content/uploads/2025/06/vera-c-rubin-observatory-brasil-1920x1080.jpg" alt="Vera C. Rubin Observatory" loading="lazy">
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<div class="kicker"><span></span> UFFESCIENCE</div>
<h3 style="margin-top:12px"><a href="https://olhardigital.com.br/2025/06/23/ciencia-e-espaco/observatorio-vera-c-rubin-conta-com-a-participacao-de-mais-de-200-brasileiros/" target="_blank" rel="noreferrer">Vera C. Rubin Observatory counts on the participation of over 200 Brazilians</a></h3>
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<div class="expandable-body"><p>Brazilian scientists are directly involved in processing data for the international LSST project, which aims to map around 37 billion stars and galaxies over ten years. Brazil participates with more than 170 researchers, including students and professionals working in Chile and the USA.</p></div>
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<a class="publication-read" href="https://olhardigital.com.br/2025/06/23/ciencia-e-espaco/observatorio-vera-c-rubin-conta-com-a-participacao-de-mais-de-200-brasileiros/" target="_blank" rel="noreferrer">Read publication <svg class="icon" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><path d="M7 7h10v10"/><path d="M7 17 17 7"/></svg></a>
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<p>Daniel de Oliveira
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