Emmanuel Kieffer
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| Faculté ou Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
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Université du Luxembourg Maison du Nombre 6, Avenue de la Fonte L-4364 Esch-sur-Alzette |
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| Bureau sur le campus | MNO, E04 0445-050 | ||||
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| Téléphone | (+352) 46 66 44 5718 | ||||
| Fax | (+352) 46 66 44 35718 | ||||
Emmanuel Kieffer is currently a PhD candidate at the University of Luxembourg. He is currently working on Bi-level optimization under the supervision of Prof. Pascal Bouvry who is the head of the Parallel Computing & Optimization Group.
He received from the University of Lorraine :
- The Technology University degree in "Statistique et Informatique Décisionnelle" (Business-Intelligence) in 2011
- The Bachelor Degree in "Informatique" (Computer Science) in 2012
- The Master Degree in "Informatique et Décision" (Decision-Support Computing) in 2014
In 2016, Emmanuel obtained the certificate "Smart ICT for Business Innovation" from the University of Luxembourg.
His primary research interests include mathematical optimization, evolutionary computing and data-mining.
Languages:
French - English - German
Last updated on: vendredi 29 décembre 2017
2018
Bayesian optimization to enhance coverage performance of a swarm of UAV with chaotic dynamics; ; ;
Scientific Conference (2018, February 26)
2017
A new modeling approach for the biobjective exact optimization of satellite payload configuration; ; ;
in International Transactions in Operational Research (2017)
Bayesian Optimization Approach of General Bi-level Problems; ; ;
in Proceedings of the Genetic and Evolutionary Computation Conference Companion (2017)
2016
Co-evolutionary approach based on constraint decomposition; ; ;
in Co-evolutionary approach based on constraint decomposition (2016, October)
Hybrid mobility model with pheromones for UAV detection task; ; ;
in Hybrid mobility model with pheromones for UAV detection task (2016)
A Novel Co-evolutionary Approach for Constrained Genetic Algorithms; ; ; ;
in Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (2016)
2014
Bi-objective Exact Optimization of Satellite Payload Power Configuration; ; ; ;
in VIII ALIO/EURO Workshop on Applied Combinatorial Optimization (2014, December)
Multi-Objective Evolutionary Approach for the Satellite Payload Power Optimization Problem; ; ; ; ;
in IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) (2014, December)
Bi-objective Optimization of Satellite Payload Power Configuration; ; ; ;
in International Conference on Metaheuristics and Nature Inspired Computing (META 2014) (2014, October)














