Fabrice LAURI Associate Professor Phone: +33 (0) 384 583 837 Fax: +33 (0) 384 583 342 Email: fabrice.lauri[at]utbm.fr FOAF: Lauri_fabrice

CV: PDF LaTeX h-index: 7

Short Bio

Lauri Fabrice, 41 years old, received his PhD thesis in Computer Science from the "Université de Nancy 2" in 2004. He has been an Associate Professor at the "Université de Technologie de Belfort-Montbéliard" (UTBM) since September 2006. He leads his research at the "Institut de Recherche sur les Transports, l’Énergie, et la Société" (IRTES-SeT) in Belfort, France.

His research focus on solving optimization problems in Multi-Agent Systems, that is systems involving several autonomous entities. Metaheuristics inspired from nature, like ant colony algorithms or evolutionary algorithms, and machine learning algorithms, especially those from Reinforcement Learning, are part of his favorite techniques for solving such problems.

Research Interest

• Sequential Decision Problems
• Coordination in Multi-Agent Systems
• Numerical and Combinatorial Optimization
• Machine Learning (Reinforcement Learning in particular)
• Metaheuristics

Significant Projects

• [Ipseity]: a C++ open-source platform for facilitating the synthesis and validation of artificial cognitive systems in multi-agent environments. It includes various techniques from Reinforcement Learning for solving sequential decision problems in discrete or continuous space. For more details: http://www.ipseity-project.com.
• MAPP: C++ Framework for solving the multi-agent patrolling problem (MAPP).

Student Supervisions

PhD Thesis

Date	Name	Details
2014-2017	Jin Wei	Modeling and Coordination of Interconnected Microgrids using Artificial Intelligence Approaches. PhD Thesis, Laboratoire Systèmes et Transports (IRTES-SET). Supervisor:
2014-2017	Abdelkhalek Mansouri	Conception parallèle de métaheuristiques basées sur la recherche locale et distribuée -- Applications à des problèmes de perception. PhD Thesis, Laboratoire Systèmes et Transports (IRTES-SET). Supervisor:
2012-2015	Jiawei Zhu	Modelling and Optimizing Comfort and Energy Efficiency in Smart Homes. PhD Thesis, Laboratoire Systèmes et Transports (IRTES-SET). Supervisor:
2010-2013	Gillian Basso	Intelligent Energy Management System. PhD Thesis, Laboratoire Systèmes et Transports (IRTES-SET). Supervisors: Vincent HILAIRE (IRTES-SeT UTBM) Fabrice LAURI (IRTES-SeT UTBM)
2007-2013	Elie Tagne-Futé	Une approche de patrouille multi-agent pour la détection d’événements. PhD Thesis, Laboratoire Systèmes et Transports (IRTES-SET). Supervisor:

Master Research

Date	Name	Details
February 2012-July 2012	Jiawei Zhu	A Reinforcement Learning Technique for Managing Power Flows in Smart MicroGrids. Master Research, Laboratoire Systèmes et Transports (IRTES-SET). Supervisor: Fabrice LAURI (IRTES-SeT UTBM)

Teaching Activities

• For PhD students:

 - MLTA "Machine Learning: Theory and Algorithms"

• For graduate students:

 - IA41 "Artificial Intelligence : key concepts and dedicated languages"
 - IN55 "Image Synthesis"
 - IA54 "Multi-Agent Systems and Distributed Problem Solving"
 - VI51 "Virtual Life Simulation"
 - MT42 "Fondements théoriques de l'informatique"
 - Master AHPM, "Learning Algorithms"

Publications

2019

• Comparison of Machine Learning Algorithms on Smartphone Energy Consumption Modeling Issue Based on Real User Context Data
  Weizhu QIAN, Franck GECHTER, and Fabrice LAURI.
  In Proc. of The Eleventh International Conference on Information, Process, and Knowledge Management eKNOW 2019, 2019.

2018

• Gpu Based Optical Flow Estimation Using Parallel Local Search Algorithm
  Abdelkhalek MANSOURI, Jean-Charles CREPUT, Fabrice LAURI, and Hongjian WANG.
  In Proc. of 19ème congrès de la société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF 2018, 2018.

• Managing Power Flows in Smartgrids with Physically-Inspired Reactive Agents
  Franck GECHTER, Fabrice LAURI, Anthony GUSSY, and Florian STAINE.
  In Proc. of 30th IEEE Int'l Conference on Tools with Artificial Intelligence ICTAI 2018, 2018.

• Massively Parallel Optical Flow Using Distributed Local Search
  Abdelkhalek MANSOURI, Jean-Charles CREPUT, Fabrice LAURI, and Hongjian WANG.
  In Proc. of The Tenth International Conference on Pervasive Patterns and Applications PATTERNS 2018. Barcelona, Spain. February 18-22, Best Paper Award, 2018.
  ISBN: 978-1-61208-612-5.
  ISSN: 2308-3557.

2017

• Parallelisation of Optical Flow
  Abdelkhalek MANSOURI, Beibei CUI, Jean-Charles CREPUT, and Fabrice LAURI.
  In Proc. of FUTURMOB : préparer la transition vers la mobilité autonome, Montbéliard, France, 2017.

• Utilisation De La Conduite En Convoi Pour La Conception De Nouveau Systèmes De Transports Innovants Pour La Livraison De Marchandises Dans Les Centres-Villes.
  Franck GECHTER, Aglzim EL-HASSANE, Fabrice LAURI, Sidi-Mohammed SENOUCI, and Abdeljalil ABBAS-TURKI.
  In FuturMob'17, 2017.

2016

• Dossier Intelligence Artificielle Et Transport - L'équipe Systèmes Multiagents Et Optimisation De L'Utbm
  Abdeljalil ABBAS-TURKI, Jean-Charles CREPUT, Philippe DESCAMPS, Stéphane GALLAND, Nicolas GAUD, Franck GECHTER, Vincent HILAIRE, Abderrafiaa KOUKAM, Olivier LAMOTTE, and Fabrice LAURI.
  In Bulletin AFIA, (91), pp. 37-40, 2016.

• Engineering Multi-Agent Systems Using Feedback Loops and Holarchies
  Gillian BASSO, Massimo COSSENTINO, Vincent HILAIRE, Fabrice LAURI, Sebastian RODRIGUEZ, and Valeria SEIDITA.
  In Engineering Applications of Artificial Intelligence, vol. 55, pp. 14-25, Elsevier, 2016.

2015

• A Hybrid Intelligent Control System Based on Pmv Optimization for Thermal Comfort in Smart Buildings
  Jiawei ZHU, Fabrice LAURI, Abderrafiaa KOUKAM, and Vincent HILAIRE.
  In Proc. of ICCSAMA, 2015.

2014

• Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition
  Jiawei ZHU, Fabrice LAURI, Abderrafiaa KOUKAM, and Vincent HILAIRE.
  In Proc. of International Conference on Swarm Intelligence Based Optimization, 2014.

• Hybrid Aco/ea Algorithms Applied to the Multi-Agent Patrolling Problem
  Fabrice LAURI, Abderrafiaa KOUKAM.
  In Proc. of IEEE World Congress on Computational Intelligence (WCCI), 2014.

• Improving Thermal Comfort in Smart Buildings by an Artificial Immune System
  Jiawei ZHU, Fabrice LAURI, Abderrafiaa KOUKAM, and Vincent HILAIRE.
  In Proc. of 3èmes Journées des Jeunes Chercheurs de l'UTBM (IngéDoc 2014), UTBM Press, 2014.

• Ipseity - an Open-Source Platform for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems - Application to Rl
  Fabrice LAURI.
  Seminar at INRIA Lorraine, Nancy, France, 2014.

• Ipseity: an Open-Source Platform for Studying Sequential Decision Problems in Multiagent Systems
  Fabrice LAURI.
  Seminar at JFPDA 2014, Liège, Belgium, 2014.

• Ipseity: an Open-Source Platform for Synthesizing and Validating Artificial Cognitive Systems in Mas
  Fabrice LAURI, Abderrafiaa KOUKAM.
  In Proc. of Autonomous Agents and Multi-Agent Systems (AAMAS), 2014.

• Ipseity : Une Plateforme Open Source Dédiée à L'étude De Problèmes De Décision Séquentielle Dans Des Systèmes Multiagents
  Fabrice LAURI, Abderrafiaa KOUKAM.
  In Proc. of Journées Francophones Planification, Décision et Apprentissage (JFPDA), 2014.

• Le Problème De La Patrouille Multiagent - Etude De Convergence De L'évaluation Des Stratégies Cycliques
  Fabrice LAURI, Jean-Charles CREPUT, and Abderrafiaa KOUKAM.
  In Revue d'Intelligence Artificielle, 2014.

• Managing Ventilation Systems for Improving User Comfort in Smart Buildings Using Reinforcement Learning Agents
  Jiawei ZHU, Fabrice LAURI, Abderrafiaa KOUKAM, and Vincent HILAIRE.
  In Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Session, 2014.

• Multi-Agent Patrolling: Multi-Objective Approach of the Event Detection by a Mobile Wireless Sensors Network
  Elie FUTE TAGNE, Emmanuel TONYE, Fabrice LAURI, and Abderrafiaa KOUKAM.
  In International Journal of Computer Applications, vol. 88(12), pp. 8, 2014.
  DOI: 10.5120/15401-3845.

• Robustness Analysis of Multi-Agent Patrolling Strategies Using Reinforcement Learning
  Fabrice LAURI, Abderrafiaa KOUKAM.
  In Proc. of International Conference on Swarm Intelligence Based Optimization, 2014.

• The Multi-Agent Patrolling Problem - Theoretical Results About Cyclic Strategies
  Fabrice LAURI, Jean-Charles CREPUT, and Abderrafiaa KOUKAM.
  In Proc. of Practical Applications of Agents and Multi-Agent Systems (PAAMS), 2014.

2013

• A Framework for Qualifying and Evaluating Smart Grids Approaches: Focus on Multi-Agent Technologies
  Gillian BASSO, Nicolas GAUD, Franck GECHTER, Vincent HILAIRE, and Fabrice LAURI.
  In Smart Grid and Renewable Energy, vol. 4(4), 2013.
  DOI: 10.4236/sgre.2013.44040.

• A Principled Approach for Smart Microgrids Simulation Using Mas
  Gillian BASSO, Vincent HILAIRE, Fabrice LAURI, Damien PAIRE, and Arnaud GAILLARD.
  In Proc. of MATES/JAWS Workshop - MAS&S, 2013.

• Improving Thermal Comfort in Residential Buildings Using Artificial Immune Systems
  Jiawei ZHU, Fabrice LAURI, Abderrafiaa KOUKAM, Vincent HILAIRE, and Marcelo G. SIMÕES.
  In Proc. of Conference on Ubiquitous Intelligence and Computing, 2013.

• Ipseity - a Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-Agent Systems
  Fabrice LAURI, Nicolas GAUD, Stéphane GALLAND, and Vincent HILAIRE.
  In Proc. of European Conference on Machine Learning, 2013.

• Managing Power Flows in Microgrids Using Multi-Agent Reinforcement Learning
  Fabrice LAURI, Gillian BASSO, Jiawei ZHU, Robin ROCHE, Vincent HILAIRE, and Abderrafiaa KOUKAM.
  In Proc. of Agent Technologies for Energy Systems (ATES), 2013.

• Multi-Agent Technology for Power System Control
  Robin ROCHE, Fabrice LAURI, Benjamin BLUNIER, Abdellatif MIRAOUI, and Abderrafiaa KOUKAM.
  Chapter in Power Electronics for Renewable and Distributed Energy Systems, chapter 15, pp. 567-609, Springer, 2013.
  DOI: 10.1007/978-1-4471-5104-3_15.
  ISBN: 978-1-4471-5103-6.

2011

• A MAS-Based Simulator for the Prototyping of Smart Grids
  Gillian BASSO, Vincent HILAIRE, Fabrice LAURI, Robin ROCHE, and Massimo COSSENTINO.
  In Proc. of 9th European Workshop on Multiagent Systems (EUMAS11), 2011.

2010

• Formal Specification of an Immune Based Agent Architecture
  Vincent HILAIRE, Fabrice LAURI, Pablo GRUER, Abderrafiaa KOUKAM, and Sebastian RODRIGUEZ.
  In Engineering Applications of Artificial Intelligence, vol. 23(4), pp. 505-513, 2010.
  DOI: 10.1016/j.engappai.2009.12.003.

2009

• Multi-Agent Patrolling Strategy : Application to the Exploration Environment Problem
  Tagne FUTE, Emmanuel TONYE, Fabrice LAURI, and Abderrafiaa KOUKAM.
  In International Journal of Automation, Robotics and Autonomous Systems, vol. 9(2), pp. 1-5, 2009.

• Stratégie de patrouille multi-agents : application au problème d’exploration d’un environnement
  Fabrice LAURI, Emmanuel TONYE, Abderrafiaa KOUKAM, and Elie FUTE TAGNE.
  In Proc. of IEEE Conference on Sciences of Electronics, Technologies of Information and Telecommunications, 2009.

• The Coverage Problem in Wireless Sensor Networks by Holonic Multi-Agent Approach
  Elie FUTE TAGNE, Fabrice LAURI, Abderrafiaa KOUKAM, and Emmanuel TONYE.
  In International Journal of Computing and ICT Research, vol. 3(1), pp. 32-41, 2009.
  ISSN: 1818-1139.

2008

• A Two-Step Evolutionary and Aco Approach for Solving the Multi-Agent Patrolling Problem
  Fabrice LAURI, Abderrafiaa KOUKAM.
  In Proc. of IEEE World Congress on Computational Intelligence, pp. 861-868, 2008.

• Résolution du problème de la patrouille multi-agent en utilisant des colonies compétitives de fourmis
  Fabrice LAURI, François CHARPILLET.
  In Revue d'Intelligence Artificielle, vol. 22(1), pp. 63-85, 2008.

2006

• Analyse théorique du problème de la patrouille multi-agent en utilisant le cadre des processus décisionnels de markov
  Fabrice LAURI, François CHARPILLET, and Daniel SZER.
  In Proc. of Journées Francophones sur la Planification, la Décision et l'Apprentissage, 2006.

• Ant Colony Optimization Applied to the Multi-Agent Patrolling Problem
  Fabrice LAURI, François CHARPILLET.
  In Proc. of IEEE Symposium on Swarm Intelligence, 2006.

2005

• Improving Eigenvoices-Based Techniques and Smllr for Speaker Adaptation by Combining Ev and Smllr Techniques or Using Genetic Algorithms
  Fabrice LAURI, Irina ILLINA, and Dominique FOHR.
  In Technical Report, 2005.

2004

• Adaptation au locuteur de modèles acoustiques markoviens pour la reconnaissance automatique de la parole
  Fabrice LAURI.
  PhD thesis, Nancy 2, 2004.

2003

• Combining Eigenvoices and Structural MLLR for Speaker Adaptation
  Fabrice LAURI, Irina ILLINA, and Dominique FOHR.
  In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 580-583, 2003.

• Using Genetic Algorithms for Rapid Speaker Adaptation
  Fabrice LAURI, Irina ILLINA, Dominique FOHR, and Filipp KORKMAZSKY.
  In Proc. of Interspeech, 2003.
  DOI: http://www.isca-speech.org/archive/eurospeech_2003/e03_1497.html.

2002

• Comparaison de SMLLR et de SMAP pour une adaptation au locuteur en utilisant des modèles acoustiques markoviens
  Fabrice LAURI, Irina ILLINA, and Dominique FOHR.
  In Proc. of XXIVèmes Journées d’Etude sur la Parole, pp. 289-292, 2002.

• Reconnaissance de la parole pour des locuteurs non natifs en présence de bruit
  Dominique FOHR, Odile MELLA, Irina ILLINA, Fabrice LAURI, Christophe CÉRISARA, and Christophe ANTOINE.
  In Proc. of XXIVèmes Journées d’Etude sur la Parole, pp. 297-307, 2002.

2001

• A Comparison of Different Methods for Noise Adaptation in a Hmm-Based Speech Recognition System
  Christophe CÉRISARA, Dominique FOHR, Irina ILLINA, Fabrice LAURI, and Odile MELLA.
  In Proc. of International Congress on Acoustics, 2001.

• Adaptation MLLR pour des HMMs
  Fabrice LAURI, Irina ILLINA, and Dominique FOHR.
  In Proc. of Quatrièmes Rencontres Jeunes Chercheurs en Parole, pp. 90-93, 2001.

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