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

FACULTY BIOGRAPHIES

Dr. Michaël Aupetit

Dr. Michaël Aupetit (PhD)


Senior Scientist
Social Computing
Qatar Computing Research Institute QCRI

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

Biography

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.

Experience

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

Education

Accreditation for Research Supervision (HDR) in Computer Science

Paris 11 Orsay University; Orsay/France

2012
  • PhD in Industrial Engineering

    Grenoble National Polytechnic Institute (INPG); Grenoble/France

    2001
  • MSc in Robotics and Microelectronics

    Montpelier University, Montpellier, France

    1998
  • Engineering in Computer Science specialized in Artificial Intelligence

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

    1998

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

    2018
  • 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

    2018
  • 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

    2015
  • 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

    2015
  • Michaël Aupetit

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

    2014
  • 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

    2011
  • 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

    2008
  • 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

    2007
  • 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

    2007
  • 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-...

    2006
  • 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

    2006
  • 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

    2005
  • 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

    2002