Nicolas PASQUIER ♦ Université Côte d'Azur

Research Activities

Research activities in the SPARKS Team (Scalable and Pervasive softwARe and Knowledge Systems) of the I3S Laboratory (Computer Science, Signals and Systems) that is a mixed research unit (UMR-7271) between the Université Côte d'Azur and the Centre National de la Recherche Scientifique (CNRS).

Research Topics

  • Data Mining & Knowledge Discovery from Data
  • Supervised, Unsupervised and Semi-supervised Machine Learning
  • Information Integration for Knowledge Pattern and Model Extraction
  • Bioinformatics, Learning Record Systems and Travel & Tourism Data Analysis

Current Research Projects

MC2 Joint Project Amadeus SAS – Université Côte d'Azur

This project is supported by the IDEX UCAJEDI Investments in the Future Project of the French Government, managed by the National Research Agency (ANR) with the reference number ANR-15-IDEX-01. This research focuses on the integration of innovative consensus unsupervised and semi-supervised learning techniques developed in the I3S Laboratory into Amadeus' business processes.

This research project includes the CIFRE PhD Thesis of Mrs. Tianshu YANG, started on May 1st, 2018, and the Université Côte d'Azur Post-doctorate of M. Sujoy CHATTERJEE, achieved from September 1st, 2018, to August 31st, 2019, in collaboration with Amadeus SAS.

MC2 Project Publications: HAL-ANR IDEX UCAJEDI

Artificial Intelligence for Learning Record Store Activity Analysis

This project addresses the analysis and optimization of MOOCs learners’ success regarding course material usages, learning paths and progression indicators. This project involves the development of unsupervised, supervised and semi-supervised learning algorithmic approaches based on Machine Learning and Deep Learning techniques and algorithms.

This project includes the CIFRE PhD Thesis of M. Sergio SIMONIAN, starting on May 15th, 2021, in collaboration between Datum Academy / GIP FUN (France Université Numérique) and the Université Côte d'Azur.

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