CHRISTOPHIDES Vassilis

My research work is structured along the following 4 major axes :

Machine Learning Systems : Feature Selection Algorithms for High Dimensional Data, Data Diagnosis and Explanation in ML Pipelines, Automated Feature Engineering over Relational Data, Ethical and Transparent Data Engineering and Modeling;

Data Science and Big Data Computing : Continuous Top-k Queries, Web Scale Entity Resolution, Motif Extraction & Drift Detection in Data Series, Real-Time Anomaly Detection in Data Streams, Aspect-based Text Summarization, Data Quality of Crowd-Measurements;

Databases and Semantic Web Information Systems : XML/RDF Storage and Indexing Schemes, Semantics-aware Data Models and Query Languages, Heterogeneous Information Integration, XML/RDF Change Management, Graphical Query Interfaces;

Digital Libraries and Scientific Systems : Personalization and Preference Management, Peer-to-Peer Data and Knowledge Management Systems, Data Flow Systems, Description and Composition of e-services, Data Provenance and Annotation Management
 

Object-oriented Programming – Java : Informatique Mineure, Group International (2nd year);

Statistics and Numerical Methods : Signal Majeure, Group International (2nd year);

Big Data Computing : Option Intelligence Artificielle & Big Data (2nd year);

Machine Learning : Option Signal & Intelligence Artificielle (SIA) (3nd year);

Introduction to Machine Learning : Research Master in Data Science & Machine Learning (DSML);

Introduction to Databases : Research Master in Data Science & Machine Learning (DSML);

Transparency and Fairness in AI and Big Data Algorithms : Research Master in Data Science & Machine Learning (DSML)
 

Awards And Distinctions
BDA 2021 Best Paper Award

Tutorial Chair
1. 23nd International Conference on Web Information Systems Engineering (WISE) Biarritz, France, October 30-November 3, 2022
2. 21st International Conference on Web Engineering (ICWE), Biarritz, France, May 18-21, 2021;

PC Member
1. Int’l ACM SIGMOD Conference, 2023 & 2024
2. IEEE Data Engineering Conference (ICDE), 2023
3. Int’l Conference on Extending Database Technology (EDBT) 2020, 2023
4. Int’l Conference on Web Information Systems Engineering (WISE) 2022
5. EXPLAIN’AI Workshop co-located with 22th French Conference EGC 2022, 2023;

Steering Committees
1. Member of the EDBT Association (since 2014) and of the Executive Board (since 2019)
2. Member of the MADICS Action on Human Explainable machine Learning Pipelines (since 2022);

Expert in Scientific Programs
1. ERC Advanced Grant, Reviewer 2020, 2021
2. CY Initiative of Excellence, Fellows-in-Residence Prog. 2020,2021 (Member of the Reviewing Board);

International Scientific Associations
1. ACM member (since 2000)
2. IEEE member (since 2020);

National Scientific Associations
1. Member of the GdR MaDICS of CNRS
2. Member of the GdR IA of CNRS

I have published over 155 articles in their majority in top-tiered journals (ACM TODS, TWEB and Computing Surveys, IEEE TKDE, Springer Machine Learning Journal, Distributed and Parallel Databases and Internet Computing) and conferences (ACM SIGMOD, PODS and CIKM, IEEE ICDE, EDBT, ICDT ECAI, WWW)
My research work was driven by the need to manage, process and analyze post-relational data (semi–or unstructured) in centralized, distributed and streaming settings often in the context of other scientific fields (e.g., Cultural Heritage, Environmental Sciences, Educational Sciences, etc.)
A list of my recent publications is available at https://hal.archives-ouvertes.fr/search/index/?q=%2A&authFullName_s=Vassilis+Christophides&sort=producedDate_tdate+desc