Scholar
Carlos Baquero
Google Scholar ID: NAUDTpMAAAAJ
Professor at DEI, FEUP, University of Porto. Researcher at HASLab, INESC TEC.
Citations & Impact
Citations
2,336
H-index
20
i10-index
37
Publications
20
Co-authors
78
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published numerous papers, such as 'Distributed Generalized Linear Models: A Privacy-Preserving Approach' (2025), 'Using survey data to estimate the impact of the omicron variant on vaccine efficacy against COVID-19 infection' (2023), etc.; involved in projects like CoronaSurveys (measuring the magnitude and evolution of the Covid-19 Pandemic), LightKone (lightweight computation for networks at the edge), etc.
Research Experience
- In recent years, he has collaborated with co-authors on developing data summary mechanisms such as Scalable Bloom Filters, Interval Tree Clocks, Dotted Version Vectors, and in predictable eventual consistency with Conflict-Free Replicated Data Types (CRDTs). His work has been applied in several systems including Riak distributed database, Redis CRDBs, Akka distributed data, and Microsoft Azure Cosmos DB.
Education
- From 1994 until mid-2021, he was affiliated with the Informatics Department at Universidade do Minho, where he completed his PhD (2000) and Habilitation/Agregação (2018).
Background
- Currently a Professor in the Department of Informatics Engineering at FEUP, and area coordinator at the High Assurance Laboratory (HASLab) within INESC TEC. Research interests include data management in eventual consistent settings, distributed data aggregation, and causality tracking.
Miscellany
- Writes blog posts, such as 'The Last Solo Programmers' (April 2025), 'The Rise of BlueSky' (November 2024), etc.
