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- | {{ :start:jy_photo1_3_.jpg?150|https://www.tigli.fr/doku.php?id=start:en}} | + | |
+ | ====== Jean-Yves Tigli Home Page ====== | ||
+ | {{ :start:jy_photo1_3_.jpg?110|https://www.tigli.fr/doku.php?id=start:en}} | ||
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+ | \\ | ||
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+ | **Jean-Yves Tigli** is associate professor at the **University Côte d'Azur**. He holds a | ||
+ | PhD in computer science from University of Nice Sophia Antipolis in 1996. During a postdoctoral | ||
+ | position at the Ecole des Mines de Paris and at the I3S/CNRS laboratory, he worked in the | ||
+ | European projects MAST and NARVAL on software architecture for intelligent and autonomous | ||
+ | robots. | ||
+ | |||
+ | He was recruited at the University of Nice Sophia Antipolis in 1998 and joined the | ||
+ | Rainbow group in 2003. He received in 2002 a grant from Microsoft Research to develop a | ||
+ | software platform called WComp to facilitate dynamic software composition and service self- | ||
+ | adaptation.{{:start:keywords_reserach_jyt_3_.jpg?150 |}} | ||
+ | During more than ten years, this software platform has been used as the baseline for | ||
+ | numerous projects in the fields of healthcare, Ambient Assisted Living, Factory 4.0. | ||
+ | |||
+ | He has been the scientific leader of various national and international research projects such as the | ||
+ | CONTINUUM project funded by the French National Research Agency (2008-2012) on self- | ||
+ | adaptive ambient systems to assist workers on the ground. | ||
+ | |||
+ | He is currently involved in the European project ENACT-H2020 in two work packages, working on actuation conflict management and behavioural drift in Smart IoT systems. He has a broad expertise in dynamic | ||
+ | software composition, self-adaptation in service-oriented architectures and context-aware | ||
+ | computing. | ||
+ | |||
+ | His current research focuses on the challenges related to software systems | ||
+ | operating in a partially unpredictable context. With recent and encouraging results, he is | ||
+ | currently studying a self-adaptive approach based on observation and measurement of system | ||
+ | effectiveness. | ||
+ | |||