Différences

Ci-dessous, les différences entre deux révisions de la page.

--- start:en [2020/04/08 18:34] – tigli
+++ start:en [2020/04/08 21:51] (Version actuelle) – tigli
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-{{ :start:jy_photo1_3_.jpg?130|https://www.tigli.fr/doku.php?id=start:en}
-====== Jean-Yves Tigli Home Page ======
-=== Associate Professor ===
+====== Jean-Yves Tigli's Home Page ======
+{{ :start:jy_photo1_3_.jpg?110|https://www.tigli.fr/doku.php?id=start:en}}
+**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.