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<!DOCTYPE html>
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<head>
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<title>News - Daniel de Oliveira</title>
<meta name="description" content="News and updates about Daniel de Oliveira">
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<li><a href="https://danielcmo.github.io">Home</a></li>
<li><a href="https://danielcmo.github.io/cv.html">Publications</a></li>
<li><a href="https://danielcmo.github.io/books.html">Books</a></li>
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<a href="http://www.ic.uff.br"><img src="arquivos/logo-ic.png" alt="IC-UFF Logo"></a>
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<main>
<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>
<div class="news-grid">
<div class="news-item">
<img src="arquivos/SN.jpeg" alt="SN Computer Science Paper">
<div class="news-content">
<a href="https://link.springer.com/article/10.1007/s42979-025-04582-1" target="_blank">
New Paper in SN Computer Science: CYCLOPS
</a>
<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 role="img" aria-label="rocket">🚀</span>
</p>
<p>#SNComputerScience #ScientificWorkflows #CloudComputing #DataConfidentiality #CYCLOPS</p>
</div>
</div>
<div class="news-item">
<img src="arquivos/premioWesley.jpeg" alt="SBBD 2025 Conference">
<div class="news-content">
<a href="https://sol.sbc.org.br/index.php/bresci/article/view/36911" target="_blank">
SBBD 2025 Best Demo Award
</a>
<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 role="img" aria-label="trophy">🏆</span>
</p>
<p>#BestDemo2025 #SBBD2025 #BRACIS2025 #Containers #Workflows #BigData</p>
</div>
</div>
<div class="news-item">
<img src="arquivos/certificado.jpeg" alt="SBBD 2025 Conference">
<div class="news-content">
<a href="https://sol.sbc.org.br/index.php/bresci/article/view/36911" target="_blank">
BreSci 2025 Best Paper Award
</a>
<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 role="img" aria-label="trophy">🏆</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>
<p>#BreSci2025 #SBBD2025 #BRACIS2025 #LLMs #UFFeScience #BigData</p>
</div>
</div>
<div class="news-item">
<img src="arquivos/outlier.png" alt="SBBD 2025 Conference">
<div class="news-content">
<a href="https://sscad.sbc.org.br/2025/" target="_blank">
Paper accepted at SSCAD 2025!!
</a>
<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>
<ul>
<li>Wesley Ferreira (IC/UFF)</li>
<li>Marta Mattoso (COPPE/UFRJ)</li>
<li>Rafael Ferreira da Silva (ORNL)</li>
<li>Julia Gschwend (LIneA)</li>
<li>Luiz Nicolaci (LIneA)</li>
</ul>
<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>
<p>#Astronomy #FederatedLearning #MachineLearning #CloudComputing #SSCAD2025 #BigData</p>
</div>
</div>
<div class="news-item">
<img src="arquivos/heatmatrix-continua-case01.png" alt="SBBD 2025 Conference">
<div class="news-content">
<a href="https://sibgrapi.sbc.org.br/2025/" target="_blank">
Paper accepted at SIBGRAPI 2025
</a>
<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>
<p>#SIBGRAPI2025 #UrbanFlooding #RainfallMonitoring #SmartCities #Research</p>
</div>
</div>
<div class="news-item">
<img src="arquivos/defesaAnnie.jpeg" alt="SBBD 2025 Conference">
<div class="news-content">
<a href="" target="_blank">
PhD Qualification Exam Announcement
</a>
<p>We congratulate <strong>Annie Amorim</strong> on successfully passing her PhD Qualification Exam with the research:</p>
<blockquote>
<em>"Merging Transformer Models to Improve Generalization in Text Classification in Portuguese"</em>
</blockquote>
<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>
</div>
<div class="news-item">
<img src="arquivos/cropped-cropped-logos.png" alt="SBBD 2025 Conference">
<div class="news-content">
<a href="https://sbbd.org.br" target="_blank">
Research Group Achievements at SBBD 2025
</a>
<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>
</div>
<div class="news-item">
<img src="arquivos/cancer-de-pulmao.webp" alt="AI for Lung Cancer Diagnosis">
<div class="news-content">
<a href="https://www.cnnbrasil.com.br/saude/ia-desenvolvida-no-brasil-pode-facilitar-o-diagnostico-de-cancer-de-pulmao/#goog_rewarded" target="_blank">
Brazilian AI may facilitate lung cancer diagnosis
</a>
<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>
</div>
<div class="news-item">
<!-- Embedding a YouTube video -->
<div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; background: #000; margin-bottom: 10px;">
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src="https://www.youtube.com/embed/uEAy256MvNk"
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allowfullscreen
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<div class="news-content">
<a href="https://www.youtube.com/live/uEAy256MvNk" target="_blank">
Interview for the 'Boletim Ciência' program at FioCruz to talk about research in the context of the LSST project (in Portuguese)
</a>
<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>
</div>
<!-- Add more news items below following the same structure -->
<div class="news-item">
<img src="https://olhardigital.com.br/wp-content/uploads/2025/06/vera-c-rubin-observatory-brasil-1920x1080.jpg" alt="Vera C. Rubin Observatory">
<div class="news-content">
<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">
Vera C. Rubin Observatory counts on the participation of over 200 Brazilians
</a>
<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>
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