Today, the CEDAR team is proud and honored to celebrate a remarkable milestone—our dear colleague, Vincent, has successfully defended his PhD!
His thesis, titled “High-Dimensional Time Series Anomaly Detection over Heterogeneous Domains,” is a true testament to his unwavering hard work, dedication, and passion for his research.
In an upcoming edition of our team seminars, we are excited to host Lihu Chen, a Research Associate at Imperial College London. The seminar will take place on October 7th at 11:00 AM in Room Henri Poincaré (Ground Floor, Alan Turing Building, Palaiseau).
For our upcoming team seminar, we are pleased to host Mr. Davide Ceolin, a senior researcher at CWI from the Human-Centered Data Analytics group. The seminar will take place on October 1st at 2:00 PM in Room Philippe Flajolet (Room 2017, Alan Turing Building, Palaiseau).
Today, the CEDAR team celebrates another remarkable achievement: Qi Fan has successfully defended her PhD!
Her thesis, titled “Multi-Objective Optimization for Data Analytics in the Cloud,” makes incredible contributions to her field.
Over the years, Qi has been more than just an exceptional researcher; she has been a wonderful colleague …
The journal paper “Finding meaningful paths in heterogeneous graphs with PathWays” by Nelly Barret, Antoine Gauquier, Jia-Jean Law and Ioana Manolescu has been accepted for publication in Information Systems.
The paper “Dynamic Graph Databases with Out-of-order Updates” by Angelos Anadiotis, Ghufran Khan, and Ioana Manolescu has been accepted for publication at PVLDB 2024 (roll-over to the 2025 conference).
Asmaa and Nardjes received The Andreas Pfitzmann Best Student Paper Award at the 2024 Privacy Enhancing Technologies Symposium, a leading conference in privacy and security research.
The work is titled “Client-side and Server-side Tracking on Meta: Effectiveness and Accuracy” by Asmaa El fraihi, Nardjes Amieur, Oana Goga, and Walter …
The following articles and demonstrations have been accepted for publication at BDA 2024: “Crawling efficace pour l’acquisition des données du Web à grande échelle”
By Antoine Gauquier, Ioana Manolescu, Pierre Senellart
“Un cadre visuel unifié pour l’exploration des données (semi) structurées” (short paper)
By Theo Bouganim, Ioana …
The paper “A Unified Visual Exploration Framework for (Semi -) Structured Data” by Théo Bouganim, Ioana Manolescu, and Emmanuel Pietriga has been accepted for publication in the BigVis 2024 workshop next to VLDB.
The paper “A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning” by Chenghao Lyu, Qi Fan, Philippe Guyard, and Yanlei Diao has been accepted for publication at the International Conference on Very Large Databases (VLDB 2024).
