Daniel Sundfeld Lima
Academic and Professional Profile
- Current Position: Associate Professor at the University of Brasília (UnB), engaged in the undergraduate Software Engineering program.
- Fields of Expertise: Parallel computing , high-performance computing , graphics processing units (GPU), distributed systems, and bioinformatics.
Academic Background
- PhD in Computer Science - University of Brasília, with a research stay at the University of Copenhagen (2013-2017).
- Master’s in Computer Science - University of Brasília (2010-2012).
- Bachelor’s in Computer Science - University of Brasília (2003-2007).
Professional Activities and Teaching
- Associate Professor at the University of Brasília: Since 2022, teaching courses such as Fundamentals of Operating Systems and Algorithms and Computer Programming.
Contributions and Acknowledgments
- Honorable Mention in the Thesis and Dissertations Contest in Computer Architectures and High-Performance Computing (WSCAD-CTD), Brazilian Computer Society (2018).
- Best Achievement Awards - PUMPS 2015 Universitat Politècnica de Catalunya.
Research Areas
- High-Performance Computing and Cloud Computing - High-Performance Computing and Cloud Computing is a dynamic and essential field in computer science, focused on the development and application of advanced computing systems capable of processing large amounts of data at extremely high speeds.
Current Projects
- Laguna Project - This project aims to extend the massive processing of a data lake using a cloud architecture, utilizing Amazon Web Services (AWS) as the provider.
- Cloud IoT and Distributed Systems (2020-2022).
- BioCloud - A Framework for the Execution of Biotechnology Applications on Several Platforms of the Amazon AWS Cloud (2020-2022).
Supervisory Experience
Current Supervisions
Former Supervisions
Publications (6)
- NEUBERT, PATRICIA DA SILVA,CANTO, FÁBIOLORENSI DO,PINTO, ADILSON LUIZ,LIMA, Daniel Sundfeld,SILVA, FLÁVIO ROBERTO CRUZ, OpenAlex como fonte de dados para sistemas nacionais de informação científica: a experiência do projeto Laguna , in VII Workshop de Informação, Dados e Tecnologia WIDaT , 2024 . DOI: 10.22477/vii.widat.184 . Tags: High Performance Computing .
- CARVALHO SEGUNDO, WASHINGTON LUÍS RIBEIRO DE,CANTO, FABIO LORENSI DO,PINTO, ADILSON LUIZ,SUNDFELD, Daniel Lima, Atração entre periódicos brasileiros de medicina análise a partir de dados de citação do OpenAlex , in 9º Encontro Brasileiro de Bibliometria e Cientometria EBBC , 2024 . DOI: 10.22477/ix.ebbc.378 . Tags: High Performance Computing .
- FLAUSINO, CAIO GOMES,QUEIROZ, DIEGO CÉSAR FLORÊNCIO DE,Sundfeld, Daniel, LLC: Low Level Contêiner no Linux , 2023 . DOI: 10.5753/eradco.2023.234451 . Tags: High Performance Computing .
- DE OLIVEIRA, ENÉIAS PAULO,Sundfeld, Daniel, PA-Star-Web: web server para obtenção do alinhamento múltiplo ótimo de sequências biológicas , 2022 . DOI: 10.5753/erigo.2022.227676 . Tags: High Performance Computing .
- GOMES, RODRIGO ROCHA,Sundfeld, Daniel, CUDA-Sankoff-Web: Uma ferramenta web para cálculo do alinhamento secundário estrutural ótimo , in Escola Regional de Alto Desempenho de São Paulo , p25-28, 2021 . DOI: 10.5753/eradsp.2021.16697 . Tags: High Performance Computing .
- Sundfeld, Daniel,TEODORO, GEORGE,HAVGAARD, JAKOB H.,GORODKIN, JAN,Melo, Alba C. M. A., Using GPU to accelerate the pairwise structural RNA alignment with base pair probabilities , CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , 32(e5468), 2020 . DOI: 10.1002/CPE.5468 . Tags: High Performance Computing .
Contact
- Professional Address: University of Brasília, UnB Gama Campus, Brasília - DF, Brazil.
- Lattes: CV Lattes
- Orcid iD: Orcid Profile