Dr. Michaël Aupetit | Hamad Bin Khalifa University
Hamad Bin Khalifa University


Dr. Michaël Aupetit

Dr. Michaël Aupetit (PhD)

Senior Scientist
Social Computing
Qatar Computing Research Institute

  • Phone+974 44 547 150
  • Office locationA155, 1st floor, RC B1


Dr. Michaël Aupetit works at QCRI since 2014. He is with the Social Computing group.

Before joining QCRI, Michaël worked for 10 years as a research scientist and senior expert in data mining and visual analytics at CEA LIST in Paris Saclay, where he designed decision support systems to solve complex industrial problems in health and security domains.

Michaël initiated and co-organized 5 international workshops. He has been PC member of IEEE VAST, PacificVis, ESANN, and ICANN conferences, and has reviewed hundreds of papers for top journals and conferences, has more than 70 publications, and holds 2 WO and 1 EP patents. He obtained the Habilitation for Research Supervision (HDR) in Computer Science from Paris 11 Orsay University in 2012, and the Ph. D degree in Industrial Engineering from Grenoble National Polytechnic Institute (INPG) in 2001.

Research Interests

Dr. Michaël's research focuses on the use and usability of machine learning, artificial intelligence, topological inference, and information visualization techniques together under the Visual Analytics umbrella, to bridge the gap between machines and humans for exploratory data analysis. He uses his expertise to address top priority challenges of Qatar in eHealth and cyber-security.


Senior Scientist

Qatar Computing Research Institute; Hamad Bin Khalifa University

2019 - Present
  • Scientist

    Qatar Computing Research Institute; Hamad Bin Khalifa University

    2014 - 2018
  • Senior Expert Scientist

    Laboratory for Integration of Systems and Technology; CEA Tech

    2008 - 2014
  • Research Scientist

    Department of Earth and Environmental Science; CEA DAM

    2004 - 2008
  • Postdoc

    Department of Earth and Environmental Science; CEA DAM

    2002 - 2004


Accreditation for Research Supervision (HDR) in Computer Science

Paris 11 Orsay University; Orsay/France

  • PhD in Industrial Engineering

    Grenoble National Polytechnic Institute (INPG); Grenoble/France

  • MSc in Robotics and Microelectronics

    Montpelier University, Montpellier, France

  • Engineering in Computer Science specialized in Artificial Intelligence

    Ecole pour les Etudes et la Recherche en Informatique et Electronique (EERIE); Nîmes/France


Selected Publications

  • L.G. Nonato, M. Aupetit; Multidimensional Projection for Visual Analytics

    Linking Techniques with Distortions, Tasks, and Layout Enrichment; IEEE Transactions on Visualization and Computer Graphics 2018; https://doi.org/10.1109/TVCG.2018.2846735

  • E. Ullah, M. Aupetit, A. Das, A. Patil, N. Al Muftah, R. Rawi, M. Saad and H. Bensmail

    KinVis: A visualization tool to detect cryptic relatedness in genetic datasets; Bioinformatics 2018; https://doi.org/10.1093/bioinformatics/bty1028

  • M. Sedlmair and M. Aupetit; Data-driven Evaluation of Visual Quality Measures

    Computer Graphics Forum 34(3):201-210, 2015; https://doi.org/10.1111/cgf.12632

  • Sylvain Lespinats, Michaël Aupetit, Anke Meyer-Baese; ClassiMap

    a supervised multidimensional scaling technique which preserves the topology of the classes; International Journal of Pattern Recognition and Artificial Intelligence 29(6), 2015; https://doi.org/10.1142/S0218001415510088

  • Michaël Aupetit

    Sanity check for class-coloring-based evaluation of dimension reduction techniques; BELIV 2014:134-141; https://doi.org/10.1145/2669557.2669578

  • Sylvain Lespinats and Michaël Aupetit; CheckViz

    Sanity check and topological clues for linear and nonlinear mappings; Computer Graphics Forum 30(1):113–125, 2011; https://doi.org/10.1111/j.1467-8659.2010.01835.x

  • Gaillard Pierre, Michaël Aupetit, Gérard Govaert

    Learning topology of a labeled data set with the supervised generative Gaussian graph; Neurocomputing 71(7-9):1283-1299, 2008; https://doi.org/10.1016/j.neucom.2007.12.028

  • Dominique Lepetz, Max Nemoz-Gaillard, Michaël Aupetit

    Concerning the differentiability of the energy function in vector quantization algorithms; Neural Networks 20:621-630, 2007; https://doi.org/10.1016/j.neunet.2006.11.006

  • Michaël Aupetit; Visualizing distortions and recovering topology in continuous projection techniques; Neurocomputing 70(7-9):1304-1330, 2007; http://dx.doi.org/10.1016/j.neucom.2006.11.018

  • Michaël Aupetit

    Learning Topology with the Generative Gaussian Graph and the EM algorithm; Advances in Neural Information Processing and Systems (NIPS) 18, 2006; https://papers.nips.cc/paper/2922-learning-topology-with-the-generative-...

  • David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach and Jean-Denis Muller

    How to help seismic analysts to verify the French seismic bulletin? ; Engineering Applications of Artificial Intelligence 19(7):797-806, 2006; https://doi.org/10.1016/j.engappai.2006.05.008

  • Michaël Aupetit, Thibaud Catz

    High-dimensional labeled data analysis with topology representing graphs; Neurocomputing 63:139-169, 2005; https://doi.org/10.1016/j.neucom.2004.04.009

  • Michaël Aupetit, Pierre Couturier, Pierre Massotte

    gamma-Observable Neighbours for Vector Quantization; Neural Networks 15(8-9):1017-1027, 2002; https://doi.org/10.1016/S0893-6080(02)00076-X