Mohamed-Amine Baazizi

Associate Professor, Database Team, LIP6, Sorbonne Université, France.

Research

I am interested in topics pertaining to data management, at large, with an emphasis on schema inference, schema-based optimization and data quality.
See my Publications on Scholar and DBLP

Topics

• 2019-Now: Evolution in JSON Schema, Synthetic data generation for JSON Schema
• 2016-2019: Schema inference from massive JSON datasets
• 2015-2019: Representation and querying of incomplete data
• 2014-2015: Query optimization of Sparql Queries
• 2008-2014: Optimization of XML updates using static analysis, management of Temporal XML

Softwares

• Modern JSON Schema Validator (support for Draft 2019-09, avail. soon)
• Witness generation for JSON Schema (repo package)
• Interactive Inference of JSON Schema (web tool)
• Parametric schema inference for JSON Datasets (avail. upon request)

Service

• Journals: KAIS (regularly), The VLDB Journal (2020), ESWA (2021), COMP (2021), Information Retrieval (2023)
• Int. Conferences: AICCSA (2016, 2017, 2018, 2020), ICWE (2021, 2022, 2023), EDBT 2020 (sub-reviewer), WISE (2022), MEDES (2022), The Web Conference (ex. WWW, 2023)

Teaching

I co-lead the following classes.

• Relational Databases Modelling and Querying (under-graduate)
• Large-scale data management (Master)

I am also involved in many other classes inside and outside Sorbonne Université.

Curricula

Positions

• since 2013: Associate professor, LIP6, Sorbonne Université (prev. called UPMC)
• 2012-2013: Postdoc researcher, Télécom Paristech
• 2008-2012: PhD researcher, Université Paris Saclay (prev. called Paris-Sud)
• 2008-2012: Teaching assistant, Université Paris Saclay (prev. called Paris-Sud)
• 2008: Research intern, LIRIS, Université Lyon 1

Diplomas

• 2012: PhD, Université Paris Saclay, France
• 2008: Master's degree, Université Lyon 1, France
• 2007: Engineer's degree, USTHB, Algeria