Dr Paweł Guzewicz
I am a PhD gratuate from Institut Polytechnique de Paris (IPP). My PhD research was in the area of cloud-scale databases and graph knowledge representation. I was a member of CEDAR, a joint team of Inria Saclay and LIX (CNRS – UMR 7161 and École Polytechnique). My PhD thesis was on expressive and efficient analytics for RDF graphs. I defended my thesis to obtain a doctoral degree on October 6, 2021.
Legal notice: I am no longer affiliated with neither IPP (including École Polytechnique and LIX), nor Inria.
Mention légale : je ne suis plus affilié ni à IPP (y compris École Polytechnique et LIX), ni à Inria.
I used to work at Alan Turing Building (1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau), office 1027.
Here are some photos of me working, taken during CEDAR team photo session (December 2019).
Interests
- Graph databases
- Big data analytics
- Cloud-scale computing
- Knowledge representation
- Data warehouse architectures
- Memory-efficient storage
- Semantic Web
Skills
Programming Languages & Tools
- Java
- Python
- SQL
- Git
- SVN
- C and C++
- Bash
- LaTeX
- Rust
- Scala
- Spark
- Hadoop
- NoSQL
- PHP
- Matlab
Natural Languages:
- Polish (mother tongue)
- English (IELTS 8.0 / C1, full professional proficiency)
- French (DALF C1, full professional proficiencyy)
- German (A2, elementary proficiency)
- Russian (A1, elementary proficiency)
Professional Experience
Huawei Technologies Research & Development (UK) Ltd
Research and development within Huawei Graph Database
École Polytechnique
ExpRalytics: Expressive and Efficient Analytics for RDF Graphs
Inria
Research in the area of cloud-scale computing over RDF graphs
Shekamou
Programming the backend of a mobile application for selling meals; working in the startup environment
Human Dialog
Programming graphical user interface for enterprise resource planning application; working in a team
Empirica
Creating test cases and scenarios for algorithmic trading software; working in Scrum (an agile development framework)
Publications
Google Scholar profile
List of publications
- ExpRalytics: Expressive and Efficient Analytics for RDF Graphs
Paweł Guzewicz
PhD thesis (in English)
Entry at the French government's theses.fr portal
Entry at the French government's Sudoc archive portal
PDF (HAL) [official]: <tel-03586182>
PDF (HAL) [mirror]: <tel-03478282v2>
- Efficient Exploration of Interesting Aggregates in RDF Graphs
Yanlei Diao, Paweł Guzewicz, Ioana Manolescu, Mirjana Mazuran
The proceedings of the 2021 International Conference on Management of Data (SIGMOD '21), Virtual Event, China, June 2021.
PDF (arXiv): <arXiv:2103.17178v1>
PDF (HAL): <hal-02152844v2>
Short 5-minute talk recording (captions in English are available)
Full 20-minute talk recording (captions in English are available) - RDF graph summarization for first-sight structure discovery
François Goasdoué, Paweł Guzewicz, Ioana Manolescu
The VLDB Journal, Volume 29, issue 5, April 2020.
PDF (HAL): <hal-02530206v2>
Short 4-minute teaser-talk recording (captions in English are available) - Spade: A Modular Framework for Analytical Exploration of RDF Graphs
Yanlei Diao, Paweł Guzewicz, Ioana Manolescu, Mirjana Mazuran
VLDB - 45th International Conference on Very Large Data Bases, Los Angeles, United States, August 2019.
PDF (HAL): <hal-02152844v2> - Parallel Quotient Summarization of RDF Graphs
Paweł Guzewicz, Ioana Manolescu
Semantic Big Data - 4th International Workshop on Semantic Big Data in conjunction with the SIGMOD conference, Amsterdam, Netherlands, July 2019.
PDF (HAL): <hal-02106521> - Incremental structural summarization of RDF graphs
François Goasdoué, Paweł Guzewicz, Ioana Manolescu
EDBT - 22nd International Conference on Extending Database Technology, Lisbon, Portugal, March 2019.
PDF (HAL): <hal-01978784> - Internship report: Quotient RDF graph summarization
Paweł Guzewicz
Télécom ParisTech (Université Paris-Saclay), Palaiseau, France, September 2018.
PDF (HAL): <hal-01879898> - Quotient RDF Summaries Based on Type Hierarchies
Paweł Guzewicz, Ioana Manolescu
DESWeb - Data Engineering meets the Semantic Web in conjunction with IEEE ICDE - 34th IEEE International Conference on Data Engineering, Paris, France, April 2018.
PDF (HAL): <hal-01721163v2>
Awards
Best Demo Paper Award
Software
Education
École Polytechnique (Institut Polytechnique de Paris)
Computer Science, ExpRalytics: Expressive and Efficient Analytics for RDF Graphs
Télécom ParisTech (Université Paris-Saclay)
Computer Science, Data & Knowledge with mention "Très bien"
École Polytechnique Fédérale de Lausanne
Computer Science
University of Wrocław
Computer Science
Community Service
Teaching
- Big Data Architectures, Télécom Paris Master 2
- Machine Learning, École Polytechnique Bachelor 2