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THALES with its 68,000 employees in 50 countries is a major world player in Aerospace, Transportation, Defence and Security. Thales benefits from a balanced customer base between Europe (approx. 60% of revenues) and the rest of the world (approx. 40%).
The international network of research laboratories Thales Research & Technology (TRT) is the vital link between the scientific world and the divisions to create the innovations which improve the competitiveness of the operations.

TRT laboratories are located close to their partners, most often on university campuses: TRT consists of four entities located in France, United Kingdom, Netherlands and Singapore.

  • In France, on the campus of the Ecole Polytechnique, at the heart of the territory of the Systematic Paris Region cluster, the Palaiseau laboratory takes benefit from two advanced research networks in Ile-de-France: France Digiteo and Triangle of Physics; with a workforce of 350 people, this research centre hosts 80 PhD students and more than 100 scientists from partner research institutions; The GIE Alcatel / Thales / CEA-LETI; The III-V lab dedicated to technology semiconductor III-V is also part of this network;
  • In the UK, the Reading directly linked with major British universities, including Cambridge, Imperial College London and Surrey, has a potential of 120 people and a dozen PhD students;
  • In the Netherlands, the TRT team, located on the campus of the University of Delft, is a common entity to the universities of Delft and Amsterdam, TNO, Thales Nederland and TRT and includes end of 2003 ten persons;
  • In Singapore, a branch of TRT including 15 people was established in 2003 in collaboration with the Nanyang Technological University, the Science and Technology Agency Defence (DSTA) and several technical institutes of Singapore.

TRT activities are divided in four main areas: systems and hardware components, software, software intensive systems and engineering.
More specifically in France:

  • The “Information” department (60 researcher + 4 Ph.D. students) missions are: research activities in the field of i) information management: data classification, data fusion. ii) Engineering solutions for software intensive systems. iii) high performance computing and safety critical computing solutions.
  • The “Physics” department (37 researchers + 11 Ph.D. students) has a large background in different research topics including solid state or vacuum nanodevices (with Cambridge Univ. and Ecole Polytechnique), high frequency optoelectronics, spintronics (with Orsay Univ. and CNRS), non-linear optics, signal processing for microwave and telecommunication applications. The project activities carried out within the “Physics Dept.” will be the design of photonic crystal structures optimized for the desired nonlinear dynamics, modelling of the nonlinear dynamics in a photonic crystal laser, particularly the carried dynamics in 3D using in-house software, as well as optical characterization of the dynamical response.

People

  • Dr. Alfredo De Rossi, PhD 2002, Habil. (HDR, Paris XI) 2013. Main interests: nonlinear optics, nanophotonics, dynamical systems. Carried out a research activity aiming at the miniaturisation of nonlinear optics and the realisation of functional on-chip nonlinear devices (e.g. soliton on-chip compression, ultra-fast optical gates, wavelength conversion, …) with a special focus on energy efficiency. He coordinated the ICT-FET project COPERNICUS.
  • Dr. Jerome Bourderionnet received his PhD degree from University of Versailles- Saint Quentin (UVSQ) in 2001. Since then, he has been working in TRT-France in the “Physics Dept.” within the “Identification and Optical Signal Processing” group. In 2009, he moved to the “Micro and Nano- Physics” group where he is now in charge of the “Integrated Photonics” activity. He participated to 6 research programs, either domestic or EU-funded. He has authored or co-authored about 25 publications in refereed journals, 20 communications in international conferences, and 10 patents.
  • Dr. Teodora Petrisor is currently a Research Engineer at Thales Research and Technologies (TRT), in
    the Reasoning and Analysis in Complex Systems Lab. She has been in the Group since the end of 2008. She obtained her B.Sc. degree in Computer Science and Automatics from “Politechnica” University of Bucharest, Romania, in 2002 with a major in image processing, and her M.Sc degree in Applied Mathematics for Machine Learning and Computer Vision from Ecole Polytechnique, France, in 2003. She obtained her PhD degree in Signal and Image Processing from Telecom Paristech in 2009. Her main responsibilities at TRT pertain to the analysis and conception of emerging cognitive algorithms as well as data and information quality assessment metrics.
    She was recently task leader in the French ANR funded project “MHANN – Memristive Hardware Artificial Neural Networks” (2011-2016).
  • Dr. Philippe Millet is a senior Research Topic Leader and Project Manager at Thales Research and Technology (TRT), High Performance Computing Lab. His main research activities are on real-time multi/many-processor embedded architectures both in hardware and software fields. He is also in charge at CTO offices of the Thales group strategy for high performance platforms architecture design. In 2005 he received his Ph.D. from the University of Paris XI for solving process mapping on parallel machines with stochastic optimisation algorithms (genetic algorithm, genetic programming algorithm and simulated annealing). For 8 years he developed a Studio for programming real-time applications on parallel computers. He worked deeply in the following fields: both hardware and software communication protocols (Gigabit Ethernet, TCP/IP…), built in self tests, fault tolerance, real-time systems, optimisation and parallelisation of applications, System on Chip architectures, FPGA designs, mapping and routing algorithms.
  • Maxime Delmulle is a PhD reseacher working at Thales and in Fun-COMP helping to develop spiking nanolaser devices
  • Ivan Boikov is an engineer at Thales and within Fun-COMP is working on modelling of photonic reservoir computing systems and their application to signal processing of real-time optical signals