Associate professor at IUT de Lannion/Université de Rennes 1 as part of the team Cordial/IRISA, then as part of the team EXPRESSION/IRISA (Lannion, France)

Engineer in DGA/DRET (Délégation Générale pour l'Armement), national service (Paris, France)

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Teaching

Associate professor at IUT Lannion (2001 - present)

• Basic and advanced Databases (B.Sc. level)
• Information systems design and analysis (B.Sc. level)
• Web server programming with PHP (B.Sc. level)
• Linux operating system (B.Sc. Level)
• Computer networks (B.Sc. Level)
• Algorithms and programming, Data structures (B.Sc. level)

Teaching at ENSSAT Lannion (2007 - present)

• Web server programming with PHP (B.Sc. level)
• Theory of complexity and computability (M.Sc. level)

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Publications

International journal

1. L Miclet, S Bayoudh, and A Delhay (2008)
   Analogical Dissimilarity: Definition, Algorithms and Two Experiments in Machine Learning
   Journal of Artificial Intelligence Research 32:793-824.

International conferences

1. N Barbot, O Boëffard, and A Delhay (2012).
   Comparing performance of different set-covering strategies for linguistic content optimization in speech corpora
   Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC'12), Istanbul, Turkey.
2. N Barbot, V Barreaud, O Boëffard, L Charonnat, A Delhay, S Le Maguer, and D Lolive (2011).
   Towards a Versatile Multi-Layered Description of Speech Corpora Using Algebraic Relations
   Roberto Pieraccini and Giuseppe Di Fabbrizio, Florence, Italy.
3. P Alain, N Barbot, V Barreaud, L Blin, O Boëffard, L Charonnat, A Choumane, A Delhay, S Le Maguer, D Lolive, T Moudenc, and G Vidal (2009).
   A multi-agent platform for multimodal pervasive applications
   In: Proceedings of the Conference on the Networked and Electronic Media (Nem), Saint Malo, France.
4. J Chevelu, N Barbot, O Boëffard, and A Delhay (2008).
   Comparing set-covering strategies for optimal corpus design
   In: Proceedings of the 6th International Language Resources and Evaluation (LREC'08), edited by European Language Resources Association (ELRA), Marrakech, Morocco.
5. S Bayoudh, L Miclet, and A Delhay (2007).
   Learning by Analogy : a Classification Rule for Binary and Nominal Data
   In: International Joint Conference on Artificial Intelligence, edited by Manuela M. Veloso. AAAI Press,, pages 678–683.
6. J Chevelu, N Barbot, O Boëffard, and A Delhay (2007).
   Lagrangian relaxation for optimal corpus design
   In: Proceedings of the 6th ISCA Tutorial and Research Workshop on Speech Synthesis (SSW6) , edited by Wagner, Petra and Abresh, Julia and Hess, Wolfgang. , Bonn, Germany, pages 211-216.
7. A Delhay, and L Miclet (2004).
   Analogical Equations in Sequences: Definition and Resolution
   In: Proceedings of ICGI - the 7th International Colloquium on Grammatical Inference, pages 127–138.
8. A Delhay, M Dauchet, P Taillibert, P. Vanheeghe (1999)
   Maximization of the Average Quality of Anytime Contract Algorithms over a Time Interval
   In: Proceedings of International Joint Conference (IJCAI'99), Stockholm, Vol. 2, pp. 212-217.
   
9. A Delhay, A-I Mouaddib, S Zilberstein (1999)
   Sequencing Multiple Contract Algorithms
   In Proceedings of IJCAI’99 Workshop Scheduling and Planning meet Real-Time Monitoring in a Dynamic and Uncertain World, Stockholm, Sweden, pp. 79-83.
10. A Delhay, M Dauchet, P Taillibert, P Vanheeghe (1998)
    Optimization of the Average Quality of Anytime Algorithms
    In: Proceedings of ECAI’98 Workshop on Monitoring and Control of Real-Time Intelligent Systems, Brighton, UK, pp. 1-4.

French-speaking journals

1. A Delhay, and L Miclet (2005).
   Analogie entre séquences : définition, calcul et utilisation en apprentissage supervisé
   Revue d'Intelligence Artificielle.

French-speaking conferences

1. P Alain, N Barbot, O Boëffard, J Chevelu, and A Delhay (2008).
   Evaluation de méthodes de réduction de corpus linguistiques
   In: Actes des XXVIIèmes Journées d'Etudes sur la Parole (JEP), Avignon, France.
2. L Miclet, S Bayoudh, A Delhay, and H Mouchère (2007).
   De l'utilisation de la proportion analogique en apprentissage artificiel.
   In: Journées d'Intelligence Artificielle Fondamentale, Plate-forme AFIA 2007, Grenoble.
   
3. A Delhay, and L Miclet (2004).
   Solving analogical equations for learning by analogy with sequences
   In: Actes de la Conférence sur l'Apprentissage, CAp 2004.
4. A. Delhay,
   Maximisation de la qualité moyenne des algorithmes anytime à contrat sur un intervalle de temps,
   In: actes de la Rencontre des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2000), Lyon, 10-13 septembre 2000, pp. 83-92.
   

Thesis

1. Arnaud Delhay. Contribution à l'algorithmique anytime : contrôle et conception. PhD thesis, USTL, November 23rd, 2000.