Nacéra Seghouani

I am a full professor at CentraleSupélec Computer Science Department, researcher member of LaHDAK team at LISN Laboratory. My main topics are related to knowledge graphs and machine learning graph with various domain applications.

Research

Projects

Multi-omic and Clinical Knowledge Graphs for Sepsis 2024-2033

Workpackage W6 Mathematical modelling, Intelligent health, data analytics, digital twin AnR IHU Sepsis

Ongoing projects :

• Semantic-based graph neural networks learning from multiomics data for Sepsis.

  GNN-based Embedding, Explainability, Neuro-Symbolic Learning, Reasoning, Uncertainty, Infectious Disease
• Argumentative-based Reasoning for Patient Profiling.

  Formal Argumentation, Diagnosis, Large Language Models

Ontology Alignment Approaches for Energy Models Project in the context of RiseGrid Institute 2026-2029

Learning from Images 2023-2026

• Approaches for High-Fidelity Novel View Synthesis: Project Anrt Amadeus Sophia-Antipolis phd thesis
• Semantic and Explanation of Video Anomaly Detection: Project SystemX IRT Postdoc SMD

Machine Learning Approaches for Sub-surface Geological Heterogeneous Sources Anrt Schlumberger phd thesis 2019-2023

NER, Domain-Specific Language Model, Large Language Model

Graph Distribution 2017-2020 DBLP Link

Multimodal Learning from Multi-Relational Graphs 2014-2020 DBLP Link

• Social web integration in recommendation systems: Project Anrt Wepingo phd thesis DBLP Link
• Digital Identity Discovery and Reconciliation for Human Resources Management: Project Anrt MindMatcher phd thesis

  Reconciliation, Disambiguation, Entity Linking, Link Prediction, Multilingual Processing, Big Five personality traits

Automatic Composition of Semantic Web Services Handling User Constraints jointly supervised PhD project ENSI Tunis DBLP Link 2006-2009

PhD Students

• Machine Learning Approaches for Sub-surface Geological Heterogeneous Sources M. Arman, 2023
• Social web integration in recommendation systems C. N. Jipmo, 2017
• Digital Identity Discovery and Reconciliation for Human Resources Management M. Ghufran, 2017
• A hybrid and adaptive framework for recommender systems R. Lemdani, 2016
• Hybrid Approaches for Semantic Information Retrieval : Towards the Integration of Knowledge Bases and Semistructured Resources Y. Mrabet, 2012
• Semantic annotation of semi-structured documents for information retrieval M. Thiam, 2010
• Automatic Composition of Semantic Web Services Handling User Constraints Y. Gamha, 2009
• Contextual ontology extraction by data mining techniques L. Karoui, 2008

Teaching

Main lectures provided in CentraleSupelec engineer programme and Paris-Saclay Master 2 programme

• Models and systems for Big Data Management
  • From Relational foundations to NoSQL databases: key-value (Redis), columnar (Apache Parquet), document(MongoDB), graph (Neo4J)
• Parallel Computing Model & Distributed environment
  • MapReduce Model, Implementation in Spark & Resilient Distributed Data
  • Pregel computation model for distributed graphs - Spark & GraphX
• Network Science
  • Centrality metrics, Random Walk, PageRank, Community Detection (Louvain, and graph topology-based heuristics) & Influence Maximisation
• Graph Machine Learning: Clustering & Node Classification & Link Prediction
  • Shallow Graph Embedding: Spectral approaches, Laplacian Eigenmap, unsupervised random walk-based approaches (Node2Vec, DeepWalk)
  • Deep Embedding Approaches: GNN, RGCN, GraphSAGE, GAT, ...
  • Translational Embedding Approaches TransE, TransH, TranR, ...