
Riccardo Tommasini
دانشیار · Stream Processing
Schloss Dagstuhl - Leibniz Center for InformaticsGermany
معرفی
Riccardo Tommasini is an Associate Professor at INSA Lyon, a leading engineering institution in France. He leads the Stream Processing and Knowledge Graphs research within the DB Team at LIRIS laboratory under Professor Angela Bonifati. His academic journey began with a PhD in Computer Science from Politecnico di Milano under Emanuele Della Valle, with a dissertation titled Velocity on the Web to be published as a Springer book.
Research Interests:
- Advancing stream processing for real-time data systems
- Extending knowledge graphs with dynamic data
- Designing graph databases for big data applications
- Creating query languages for heterogeneous data environments
- Building data engineering pipelines with Apache Airflow
- Enabling big graph processing in distributed settings
Key Contributions:
- Developed Zodiac framework for Datalog reasoning under rule amendments (ICDE 2025)
- Co-authored foundational Streaming Linked Data book with Springer (2023)
- Created RSP4J API for RDF stream processing (ESWC 2021)
- Designed challenge-based learning curriculum for Data Engineering courses
Scientific Recognition:
- Received ANR JCJC grant for POLYFLOW project (2024)
- Awarded Best Resource at ESWC 2021
- Managed industrial collaborations with Neo4j, InfluxData, and Confluent
Advising & Teaching:
- Supervises Mohamed Ragab (PhD candidate at University of Tartu) Course Leadership:
- Foundational Data Engineering course at INSA Lyon and University of Tartu
- Structured around Apache Airflow, Docker, and graph databases
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