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HOME Home
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Vitae - Publications - Research Last update: September
2014 |
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Michaël Aupetit Qatar Computing Research Institute (http://qcri.org.qa/)
Computational Science and Engineering 10th Floor, Tornado Tower, PO Box 5825, Doha, Qatar http://michael.aupetit.free.fr/ (+974) 445
47150 – michael.aupetit@qf.org.qa |
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Key knowledge |
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Big Data Machine Learning Visual Analytics Decision support |
Algorithmic Statistics Computational geometry Computational Topology |
Matlab Java Map Reduce D3js |
Project management Oral presentation Business approach Publications and patents |
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Current
position (more) |
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2014 – today |
Research Scientist
in Computer Science Qatar
Computing Research Institute Computational
Science and Engineering 10th
Floor, Tornado Tower, PO
Box 5825, Doha, Qatar |
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Highest
diploma (more) |
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2012 |
Habilitation
for Research Supervision in Computer Science Approches topologiques pour
l’analyse exploratoire de données et l’aide à la décision (Topological
approaches for exploratory data analysis and decision support) 07/11/2012 – LRI, Paris Sud 11 University – Paris Saclay
Campus, France |
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Current project (more) |
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2014 – today |
Big Data Visual Analytics for cancer data
analysis |
D3js Machine Learning Topological
inference |
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Publications
& Patents (more) |
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1999 – today |
International
patents: 3 (+3) International
journals: 9 (+2) International
conferences: 18 International
workshops: 4 International
invited talks: 1 |
National journals: 5 National conferences: 14 National workshops: 2 National invited talks: 3 |
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Research
summary (more) |
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My research focuses
on designing new techniques to take up challenging scientific issues at the
crossing of Computational Topology, Visual Analytics and Machine Learning, to
support humans in their decision facing (big) data coming from the monitoring
of (complex) systems. I design
intelligent user-centric decision
support systems to make easier Human Machine Interaction. I open the
black-box of Machine Learning techniques to allow human users to get access
to the knowledge acquired by the machine, in order to get the best
combination of machine’s speed and accuracy and human intelligence.
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