Nacéra Seghouani

I am a full professor at CentraleSupélec Computer Science Department, researcher member in LaHDAK team at LISN Laboratory, coordinator of Erasmus Mundus Programme IT4BI, BDMA I and BDMA II and CentraleSupélec/Paris-Saclay University Master 2 DSBI and BDMA from 2015 to 2026. Links DBLP, Scholar, hal.

Research

Multi-omic and Clinical Knowledge Graphs for Inflammatory and Infectious Diseases 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. Laura Forero Phd Thesis. OntoOmicsKG Benchmarks

  GNN-based Embedding, Explainability, Neuro-Symbolic Learning, Reasoning, Uncertainty, Infectious Disease
• Argumentative-based Reasoning for Patient Profiling. Pierre-Jean Gouze Phd Thesis

  Formal Argumentation, Diagnosis, Large Language Models

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

• Alexandre Gournail Phd Thesis

Learning from Images 2023-2026

• Approaches for High-Fidelity Novel View Synthesis: Project Amadeus Sophia-Antipolis, Akash Malhotra Phd Thesis
• Semantic and Explanation of Video Anomaly Detection: Project SystemX IRT Postdoc SMD. Hui Yang PostDoc.

Machine Learning Approaches for Sub-surface Geological Heterogeneous Sources: Project Schlumberger 2019-2023

• Molood Arman phd thesis

  NER, Domain-Specific Language Model, Large Language Model

Large Graph Distribution 2017-2019

• Adnan El Moussaoui Postdoc

Multimodal Learning from Multi-Relational Graphs 2014-2020

• Social web integration in recommendation systems: Project Wepingo, C. N. Jipmo Phd thesis
• Digital Identity Discovery and Reconciliation for Human Resources Management: Project MindMatcher, M. Ghufran phd thesis

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

Automatic Composition of Semantic Web Services Handling User Constraints 2006-2009

• Y. Gamha phd thesis

  Web service, Semantic composition, User constraints

Digiteo Project SHIRI 2007-2012

• M. Thiam phd thesis and Y. Mrabet phd thesis

  Knowledge Graph, Semi-Strutured Document, Ontology-based Querying, Annotation

Hybrid Recommandation Approaches 2012-2016

• R. Lemdani phd thesis

  Recommandation, Personalization, Semantics

Ontology Extraction from semi-structured Data 2004-2008

• L. Karoui phd thesis

  Ontology building, Information Extraction, Semantic-based Annotation

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, ...