Daniel Sundfeld Lima

Academic and Professional Profile

• Current Position: Adjunct Professor at the University of Brasília (UnB), engaged in the undergraduate Software Engineering program since 2022.
• Fields of Expertise: Parallel computing , high-performance computing , graphics processing units (GPU), cloud computing, distributed systems, and bioinformatics.
• Institutional Role: Participates in research and development projects with IBICT focused on open informational infrastructure, data lakes, and scientific information retrieval.

Academic Background

• PhD in Computer Science - University of Brasília, with a research stay at the University of Copenhagen (2013-2017).
• PhD thesis: “Primary and secondary alignment of biological sequences on high-performance architectures” (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

• Higher education professor at the University of Brasília since 2022, working in the Software Engineering program.
• He has taught courses such as Fundamentals of Operating Systems and Algorithms and Computer Programming.
• He was also a professor at the Federal Institute of Brasília (2018-2022), including serving as coordinator of the Internet Systems Technology program.
• He has previous industry experience as a senior developer and project manager at Aker Security Solutions, working with security software, Linux, networking, OpenSSL, and product maintenance.
• He develops research in high-performance computing, cloud computing, distributed systems, and bioinformatics, applying these areas to solve complex problems.

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.
• Reviewer for journals such as Concurrency and Computation: Practice & Experience, Journal of the ACM, and Parallel Computing.
• Development of tools and software such as CUDA-Sankoff, Foldalign 2.5, and PA-Star for bioinformatics and high-performance processing.

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.

• Informational management support system for the Ministry of Science, Technology and Innovation - MCTI (2026-Present).
• Serviços PI: innovation and efficiency in the retrieval of intellectual property information at INPI (2025-Present).
• Laguna - Open Informational Infrastructure and Data Lake (2022-2025).
• Nimbus: a serverless cloud architecture for automatic code grading (2023-2024).
• Cloud, IoT and Distributed Systems (2020-2022).
• BioCloud - A Framework for the Execution of Biotechnology Applications on Several Platforms of the Amazon AWS Cloud (2020-2025).

Supervisory Experience

Current Supervisions

Contact

• Professional Address: University of Brasília, Gama Campus, Area Especial de Industria Projecao A - UnB, Setor Leste (Gama), Brasília - DF, Brazil.
• Phone: (61) 3107-8901
• Homepage: FGA/UnB
• Lattes iD: CV Lattes
• Orcid iD: Orcid Profile