Sebastián Ferrada

Sebastián Ferrada is an Assistant Professor at the Data & Artificial Intelligence Initiative of Universidad de Chile. He also serves as Young Researcher at the Institute for Foundational Research on Data (IMFD) and Collaborating Researcher at the National Center for Artificial Intelligence Research (CENIA). His research focuses on Knowledge Graphs, with special emphasis on extraction, management, and applications for querying, browsing, and AI systems.

His academic background includes:

• PhD in Computer Science (2021), Universidad de Chile
• MSc in Computer Science (2017), Universidad de Chile
• BEng in Computer Science (2017), Universidad de Chile

Sebastián's research explores several key areas:

• Multimedia Databases with applications to Wikimedia Commons images
• Graph Databases and Knowledge Graphs construction
• Federated Data Management across heterogeneous RDF sources
• SPARQL query extensions for similarity-based operations
• Graph data management and compression techniques

His recent publications demonstrate strong trends in knowledge graph construction, similarity-based querying, and efficient graph data management. These works combine theoretical advancements with practical implementations in real-world systems like IMGpedia and MillenniumDB.

Scientific achievements include:

• Best Paper Award at CoopIS 2023
• Best Demonstration Award runner-up at SIGMOD/PODS 2024
• Best Student Paper (Resources Track) and Best Poster at ISWC 2017
• First prize in CLEI 2017 for his Master's thesis

Sebastián currently leads the Fondecyt project on graph data management and contributes to the U-Inicia project on AI processes in graph databases. He serves on the editorial board of Transactions on Graph Data and Knowledge.