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

Contact

• Professional Address: University of Brasília, UnB Gama Campus, Brasília - DF, Brazil.
• Lattes: CV Lattes
• Orcid iD: Orcid Profile