Gertrude Raïssa MBIADOU SALEU

Gertrude Raïssa MBIADOU SALEU

Postdoc in Machine Learning

CNRS/LIMOS

Biography

I am a Posdoc in Machine Learning at CNRS/LIMOS (Laboratory of Computing, Modelling and Optimization of the Systems). My research interests include Machine learning, Time Series and Data Stream analysis, Optimization, Vehicle Routing Problems and Drone Routing Problems.

I am currently working on anomaly detection in multidimentionnal time series and data stream. My research work is related to an industrial project on advanced contamination monitoring in clean rooms.

Download my resumé.

Interests
  • Machine learning
  • Data Science
  • Time Series and Data Stream analysis
  • Optimization
  • Vehicle Routing Problems
  • Drone Routing Problems
Education

  • Master 2 in Data Science, 2022

    CentraleSupélec/Openclassrooms

  • PhD in Operations Research, 2021

    LIMOS, Clermont Auvergne University

  • Master 2 in Information System, 2016

    Clermont Auvergne University

  • Master 2 in Software Engineering, 2015

    University of Yaoundé 1

Skills

Python

90%

Analytics

90%

R

70%

C/C++

90%

Java

80%

PHP

90%

Experience

 
 
 
 
 
Postdoc in Machine Learning
CNRS/LIMOS
May 2021 – Present Aubiere, France

Anomaly detection in time series and data stream in a context of advanced contamination monitoring in clean rooms and mini-environments (field: semiconductor manufacturing). A project involving the collaboration of the CNRS/LIMOS with Pfeiffer Vacuum France.

Keywords : Anomaly detection, Data stream, Python, InfluxDB, Kapacitor, Flask, Chronograf, GitLab

 
 
 
 
 
PhD in Operational Research
Clermont Auvergne University/LIMOS
Oct 2016 – Jan 2021 Aubiere, France

Topic: Optimization of urban deliveries with drones and vehicles in parallel.

Keywords : VRP, urban logistics, drones, heuristics, meta-heuristics, MILP, C++,

 
 
 
 
 
Machine Learning Junior Researcher (Internship)
LIMOS
Mar 2016 – Jul 2016 Aubiere, France

Study on Large-Scale Time Dependent Graphs (LSTG): representation, storage, mining and processing

Keywords : Large Scale Time Dependent Graphs (LSTG), Graph mining

 
 
 
 
 
Functional Analyst (Internship)
ORANGE
Jun 2015 – Sep 2015 Douala, Cameroun

CRM project 360° view: renewal of the ORANGE Cameroon CRM for a better management of the customer service

Key words : Requirements gathering, feasibility study, planning, functional specifications writing

 
 
 
 
 
Natural Language Processing Junior Researcher (Internship)
UY1
Apr 2014 – Oct 2014 Yaoundé, Cameroun

Implementation of a supervised learning system (based on the exploitation of conceptual graphs) for the automatic classification of tweets according to their semantic orientation (positive, negative, neutral)

Keywords : Sentiment analysis, Natural Language Processing, Conceptual graph, Python, Weka, Twitter, Tweepy

Recent Publications

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Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo (2022). Évaluation comparative de méthodes non supervisées pour la détection de points anormaux dans les flux de données. in ECG.

DOI

Raïssa Mbiadou Saleu, Laurent Deroussi, Nathalie Grangeon, Alain Quilliot, Dominique Feillet (2022). The parallel drone scheduling problem with multiple drones and vehicles. In European Journal of Operational Research Volume 300, Issue 2, 16 July 2022, Pages 571-589.

DOI

Raïssa Mbiadou Saleu, Laurent Deroussi, Nathalie Grangeon, Alain Quilliot, Dominique Feillet (2022). An iterative two-step heuristic for the parallel drone scheduling traveling salesman problem. In Networks, Wiley, 2018, 72 (4), pp.459-474..

DOI

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