Florent Teichteil-Königsbuch is an expert in AI Decision-Making and Combinatorial Optimization in Airbus Central Research and Technology. After graduating as a PhD in Artificial Intelligence from the University of Toulouse and SUPAERO in 2005, he worked in ONERA as a research scientist in Robotics and Artificial Intelligence from 2005 to 2015. He then joined Airbus as a senior data scientist and research project leader working on bringing decision-making research to various industrial aerospace use cases. He has published several conference and journal papers on AI decision-making and autonomous robotics. He is collaborating with ANITI on combinatorial optimization topics, and is also coordinating the industrial integration of the research conducted in the European Project TUPLES on Trustworthy Decision-Making. Florent is one of the main contributors of the scikit-decide library, especially working on the C++ core functions and on the classical planning and search engines.
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Alexandre Arnold is an AI Senior Research Scientist working at Airbus Central Research and Technology in the Artificial Intelligence domain. He is an expert in Reinforcement Learning (an Automated Decision Making technique) and has also been involved in multiple projects related to Natural Language Processing, including as research project leader for LEA (LEarning Assistant) to ease the creation of customized chatbots. Today he is interested in pushing RL and NLP beyond state of the art and finding synergies across these fields, typically towards training adaptive and communicative robots. He is collaborating on such topics with other researchers from academia and industry in the frame of ANITI (Artificial and Natural Intelligence Toulouse Institute), specialized in mobility/transport and robotic/cobotic applications. Alexandre is one of the main contributors to the core of the scikit-decide library and to the RL interfaces.
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Guillaume Povéda is a research engineer in Airbus Central Research and Technology. After an aerospace engineering school, and a research degree in operational research, Guillaume has been working for Airbus in various topics involving sequential decision-making and scheduling topics. Guillaume has used a wide range of techniques to solve complex problems, from classical optimization techniques to more learning approaches, which have been published in the ICAPS and CP conferences. Guillaume is involved in 2 open source libraries developed by Airbus: scikit-decide as an active contributor and discrete-optimization as main developer, the latter being used as the core scheduling engine in scikit-decide.
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Sylvie Thiébaux is a professor of computer science at the Australian National University and a directrice de recherche at the University of Toulouse. Her research interests are in artificial intelligence, in particular automated planning, scheduling, diagnosis, and search, their integration with optimisation, machine learning, and verification, as well as their applications to energy and transport. She is the coordinator of the European Project TUPLES whose aim is to facilitate the construction of trustworthy planning and scheduling systems, which are safe, robust, explainable and scalable. Sylvie is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and a co-editor in chief of the Artificial Intelligence journal. She is a former councilor of AAAI, co-chair and president of the International Conference on Automated Planning and Scheduling (ICAPS).
Link to DBLP publication list.