Laboratoire de l'Intégration du Matériau au Système

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organisation scientifique frenche 12 2018

IMS offers a unique scientific positioning in systems engineering: the integration of hardware, intelligence and knowledge in communicating and human centered systems. IMS scientific priorities are:

  • modeling and shaping materials for components and microsystems design
  • modeling, design, implementation and reliability analysis of components, circuits and electorinc assemblies
  • identification, automated control, systems diagnosis, signal and image processing
  • production engineering, cognitics and human engineering, bioelectronics

Institutional context

The Cognitive Engineering Research group is part of the IMS laboratory CNRS UMR 5218 since January 2011. It is composed of Professor and Associated Professor of the National School of Cognitique (ENSC Bordeaux-INP), the School Superior of the Teaching and Education (ESPE - University of Bordeaux) and the Department of Sports Sciences (UF STAPS, University of Bordeaux).

The group is multidisciplinary (psychology, computer science, biology, information and communication, robotics, educational sciences). On this basis, we strive to develop inter or transdisciplinary approaches.

Cognitive Engineering is defined as “science and technologies” of Knowledge for better performance, better security and comfort of use of complex systems (including digital). It is based on cognitive science with a strong intention to industrial application.

Scientific presentation

Our research themes concern the integration and communication "Man / Complex systems", particularly as regards the human factor and human-system integration, the artificial and augmented cognition, the uses and technologies usability, the information and knowledge systems, the integration of human factors in the design of projects.

The simulation of future uses particularly addresses these themes. Thus, each research subject is considered not only from the disciplinary angle, but also by a common ownership of different methodological approaches.

The scientific guidance of the team are mainly (but not exclusively):

- The design and development of methods for studying the human-systems interaction;

- The study and design of human augmentation technologies (including digital);

- The design and development process of designing models for the consideration of the human factor and technology uses.

The research areas in Cognitic
  • Analysis and design of Human-System(s) Interfaces (s) [HSI] in design projects, design and production of manufactured goods (aeronautics, automotive, equipment, etc.) and services (Healthcare, Silver economy, energy, Telecom., etc.).
  • The activity of research and development of industrial enterprises in relation to the human factor and augmented cognition (management of complex systems, visualization systems and control, integrated management platforms, etc.).
  • Integrating human-system (IHS) and the use of digital technologies.
  • The artificial cognition with robotics, cobotics and Artificial Intelligence [A.I.] (Designing interfaces for remote control drones/Cobots, classification techniques and data mining, etc.).
  • The organizational aspects and managing psychosocial risks applied to the fields of industry.
  • The needs analysis, specification and design assistance and augmentative systems for disability compensation, accessibility
  • The management of knowledge and skills for the recovery and sustainability of expertise in industries and decision support.
 

AS2N
BIOEM
ELIBIO
Teams :

The BioElectronics Department was set up in 2009. This original research group comprises researchers in electronics, biophysics and biology on the same floor of the building. Another original aspect is its Living Sciences Platform facilities, which are available to researchers and teachers throughout the University of Bordeaux.

 

Our research is pluridisciplinary at the interface of physics, electronics, biology and medicine.

 

The BioElectronics Department is composed of three research groups: BIOEM (Bioelectromagnetism), ELIBIO (Electronics Interfacing Biology) and AS2N (Architecture of Silicon Neural Networks).

 

Although each research group has its own research projects, the three groups work towards a common goal to develop “real-time closed-loop solutions dedicated to biological and human applications”. The close-loop paradigm involves three steps :

  1. Real-time acquisition of physiological data
  2. Processing and interpretation of these data
  3. Decision and stimulation (cells, organ, organism, animal, human)

Methods and technologies used for signal processing are mainly based on bio-inspired computation. This hybrid approach combining biological and artificial components makes ​​it possible to optimize the performance of systems, especially in terms of robustness and power consumption.


MEI
ICO
PSP
Teams :

Created in 1971, the GRAI was a laboratory on its own until 1991 when he became a scientific operation of the LAP (and then UMR 5131 LAPS). On January 1st 2007 the GRAI becomes the Production Engineering group of IMS. The group is led from May 2012 by Prof. Yves Ducq.

The Production Engineering group (or production engineering team in the sense of HCERES) is animated as a single entity and deploys upstream research activities, valorization of research results in the economic environment, and training of researchers and executives for industry.

Upstream research is structured in three scientific thematics that represent the fields of competence established over time and are the backbone of scientific programme. The themes are specifically animated. The PhD topics can be intra- or inter-thematic.

The three scientific thematics are:

• Enterprise Modeling and Engineering (MEI) led by David Chen

• Control of Production Systems (PSP) led by Rémy Dupas

• Design Engineering (ICO) led by Philippe Girard

Through these three complementary thematics, the Production Engineering Group has the scientific objective to provide concepts and tools to improve production systems and enterprises in three streams that are modelling, performance and control. The main recent change is to consider distributed systems.

Since the beginning of the contract, the group wanted to also highlight in its scientific diagram some application domain, even if our research is not prohibited in any way to enroll in all areas of production of goods and services:

• Manufacturing

• Services

• Transport

Regarding these application domain, the wish of the group is to not link a thematic link to an application domain but to really consider these domains as transverses.

The manufacturing domain has been widely covered by the research group but the novelty is to develop our research in the field of transport and services.

Concerning the transport domain, the main research topic was initially focused on the search for coherence in planning decisions processes, which are distributed by nature and linking manufacturers and transport providers in charge of delivering the goods to their customers.

The extension of this work to the study of the interoperability of information systems of these providers, streamlining the organization of road transport, was subsequently relevant.

The highlights of this research work are reflected in the period by different achievements or studies:

  1. PRODIGE project (2009-2013) - Routing for Intelligent products. This project has enabled the development of an organizational, technological (RFID, GPS, 3G) and software (web portal) solution to instrument the road transportation, to optimize flows. The originality of the approach thus developed is the inclusion of the concept of "opportunistic" transhipment or the suitability of a transported load to "change" vehicles extemporaneously during transportation, for purposes of optimizing performance.

2. Joint work with MEI thematic has been carried out in the NOSCIFEL project with the ambition to create a data sink making interoperable the different actors of transport chain. Some works in collaboration with EIGSI La Rochelle, aimed at providing a decision support tool to formalize a participative approach throughout the project design of sustainable urban transport in a multi-criteria and multi actors context.

 Finally, concerning the service application domain, work undertaken for several years enabled to become familiar with the service concept, to understand the ins and outs and highlight specific issues of design / engineering, control, modeling and service performance measurement. In this context, the scientific project is divided into two sector axes and a theoretical axis: 1 / Service orientation of industrial enterprises and "servicization" (PSS), 2 / field of pure services with application to health and 3 / generic services modeling through theoretical studies and the return of sector studies.

SKILLS

The research skills of the production engineering group are:

  • The development of models and methods for enterprise engineering for interoperability and engineering of performance indicator systems
  • The management of production and transportation activities, especially the study of operational and tactical levels of the supply chain planning
  • The engineering of the new product design activity in order to improve performance by facilitating collaboration between stakeholders in the design

PROJECTS

The National influence and mostly international has always been a strength of the production engineering group as its researchers have been involved since the first framework program of the European projects and continuously in all these programs. We recall for example that in the past years, the group led a Network of Excellence on the topic of interoperability for which the group is recognized as a leading group at national and international levels. This position is justified first of all by its many research findings in this area (PhD, HdR and publications) but notably also by its action within the Virtual Laboratory INTEROP vLab that was created following INTEROP NoE and comprising more than 50 organizations grouped in 9 clusters. The group has ensured the creation of the INTEROP vLab (one of the very few from a NoE), his presidency since its inception and until June 2013 and provides leadership and coordination of the Pole Grand Sud Ouest whose University of Bordeaux is a member and which includes about 15 organizations (academic and business).


MOTIVE
SPECTRAL
Teams :

The research activity of the Signal and Image Group (GSI) is concerned with the design of advanced signal and image processing algorithms. It encompasses both fundamental and applied themes, directed at long-term academic and industrial partnerships.  The key concepts, underlying this activity are modeling, inference, optimization and sampling, with emphasis on multiscale and multidimensional aspects. During the last four years, GSI has focused on subjects of importance to the national and international research communities. These include inverse problems, especially in the case of incomplete data, characterization, filtering, optimal decision, and communication.

 

The research activity of the Signal and Image Group (GSI) is concerned with the design of advanced signal and image processing algorithms. It encompasses both fundamental and applied themes, directed at long-term academic and industrial partnerships.  The key concepts, underlying this activity are modeling, inference, optimization and sampling, with emphasis on multiscale and multidimensional aspects. During the last four years, GSI has focused on subjects of importance to the national and international research communities. These include inverse problems, especially in the case of incomplete data, characterization, filtering, optimal decision, and communication.


ARIA
CRONE
FFTG
Teams :

 

The research activity of the Automatic Control Group is organized around three thematics:

  • Thematic 1 : « Approche Robuste et Intégrée de l'Automatique », developed by the ARIA team with David HENRY as head;
  • Thematic 2 : « Fractional Systems», developed by the CRONE team with Pierre MELCHIOR as head;
  • Thematic 3 : « Flatness and Fault Tolerant Guidance », developed by the FFTG team with Franck CAZAURANG as head.


The Electronic Design group of the IMS Laboratory relies on three teams (known as CAS, HSC and NSC) dedicated to analog, RF and digital circuit design. It forms a powerful complementary work force to provide fully integrated solutions to complex electronic systems. This team consists of 8 Professors, 11 Associate Professors, 15 PhD students, 1 IGE, 1 IR and 1 secretary. Below are summarized the major activities and highlights of this group over the period 2009-2014:

  • SASP (Sampled Analog Signal Processing) circuit in the receiving system and original solutions to the transmitter, ie the system Riemann pump and Walsh transmitter to generate one or more modulated signals over very wide bands.
  • Development of an original radio demodulation principle called "MOOD" to reduce the power consumption by a factor of 10 compared to the commercially available solutions. This new receiver has also the advantage of being compatible with 2 types of the most common modulations in WSN: Frequency (FSK) and amplitude (OOK).
  • Realization of a 100 GB/s clock and data recovery in 130nm SiGe BiCMOS technology, STMicroelectronics.
  • Design of RF power amplifiers (PA) and mmW for LTE applications (collaboration ETS), WiGig (Cifre common lab ST / IMS), RADAR X-band / Ku-band UWB using CMOS technology, CMOS SOI, SiGe, GaN.
  • Development of PA linearization techniques such as Doherty, Cartesian loop feedback, Envelope Tracking ...
  • Passive Filter Design using BAW technology and active filters design using AsGa and GaN technology.
  • Characterization and modelling of analog to digital converters (ADC) and digital-to-analog converter (DAC)
  • New method to compensate mismatch errors in Time Interleaved ADC (TI-ADC)
  • Digital Improvement of analog and mixed circuits

PACE
Puissance
Teams :

Main Interests: Reliability is an essential challenge for remote electronic equipment as found in ICs. It enables cost-effective design (economic aspect), improvement of manufacturing capacity (eco-friendly aspect), lower early failure rate and better management of failure prediction (user-safety and -satisfaction aspects). The Reliability group deals with all of these issues in a component-to-system approach.

Context: The performances of components, assemblies, and systems, keep improving while their integration density keeps increasing. In this context, the technological fields addressed by the Reliability group regard the reliability of all the units that can be intended to all of the integration levels of on-board or embedded electronic equipment from the silicon state to a whole operating system. This research field is thus multidisciplinary and multi-domain by nature (multi-physics, multi-time-domain, multi-material and multi-scale).

Goals: The group expertise and research are focused on the development of innovative reliability methods for components and systems dedicated to embedded and on-board systems, in order to:- control chip-package interactions- assess electromagnetic disturbance influence on reliability- control the durability of semiconductor-based power components and novel energy storage systems- contribute to new qualification standards for components and systems in a specific environment- develop aging models and to add reliability considerations to virtual prototyping

Novel Methods:

-based on a theoretical approach through multi-domain simulations on the one hand,
-and, on experiments through the characterization of materials and assemblies, and how they age, to feed models with relevant input parameters, on the other hand.

 



The  research fields of Nanoelectronics concern emerging components such as the carbon nanotube transistor, Graphene-FET, microwave transistors (SiGe and III-V) and circuits based on advanced technologies. Key themes are the electro-optical characterization, failure analysis and reliability, microwave characterization and compact modeling. The research methods are common to all actions: from a physical analysis, often supported by simulation tools based on finite elements, the observed phenomena are studied, deepened and explained. The team uses two highly advanced technological platforms (Atlas and Nanocom). Right balance between the fundamental and the applied nature of the research allows the team to address the challenges identified by the laboratory.

EDMINA
MDA
MIM
Teams :

Towards Multi-disciplinary Multi-technology Smart and Sustainable systems.

The group ONDES (WAVES) in the flowchart of Research at IMS (Table in French)

Our group re-named ONDES (WAVES) from Nov. 2015 comprises the groups formerly known as Microsystems and Materials. We conduct research works aimed at the development of Smart and Sustainable systems, focusing on integration of innovative materials, and, the design, characterization and the reliability assessment of devices for various applications, mainly using acoustic, photonic and high frequency waves. The understanding of physical mechanisms occurring in materials, devices and their interaction with the environment is fundamental to our work. The new group is working on plans to develop innovative detection devices and sensor networks, well adapted to digital environment. Targeted application areas are on current issues related to healthcare, environment, agriculture, energy... Three major topics have been defined:

  • Microdevices for Optics / Photonics
  • Multi-disciplinary Smart Sensors
  • Wireless solutions for Micro-energy

The group ONDES is composed of three teams involved in highly multi-disciplinary projects (materials, physics, chemistry, biology, medicine, etc.) each with academic and/or industrial partners:

  • MIM: Material Interaction Microwave
  • MDA: Acoustic wave-based and other innovative Detection Microsystems
  • EDMiNA: Evaluation of Micro and Nano-Assembled Devices

Among other projects, we are also strongly committed in Laboratories of Excellence (AMADEus, LAPHIA) of the University of Bordeaux, which has established these world-class clusters, bringing together teams from different joint research units (universities, national research bodies and industry).

Support technological centres: TAMIS (Alternative Technologies, clean room), OpERaS (Evaluation of the reliability of optoelectronic and photonic devices), A2M (Characterization of Materials & Micro-waves).

EXAMPLES OF RECENT OR ON-GOING PROJECTS:

See :


ELORGA
PRIMS
Teams :

The Organic Electronics and Organic Microsystems (named "Organic" in the flowchart IMS) was created in June 2012 to merge the electro-optical and electro-mechanical aspects of organic materials . All the group is located at the ENSCBP graduate school since January 2013. The "Organic" group aims to print the active components (electronic, optical and mechanical) with organic compounds and / or hybrid. This approach allows to design and produce components with simple technological processes that are developed within ELORGA and ELORPrintTec platforms. 

All details about our research activities can be found on this link : http://oembordeaux.cnrs.fr