Networks, Connected Humans and Objects

Electricity consumption meters, socks, bottles of water, bracelets, etc. By 2020, the number of connected objects/things in the world will lie somewhere between 50 and 80 billion items. And human beings, just like infrastructures, cities and factories will also be continuously connected (round the clock “365/7-7/24-24”).

"Connected objects constitute an ecosystem similar to a biotope. The Internet of Things (IoT) will lead to a revolution far exceeding that initiated by the advent of Smartphones©."

Research activities

Research units involved

• Computer Science and Digital Society (LIST3N)
• Automated Mesh Generation and Advanced Methodology (UTT-GAMMA3)

Innovations    

MyCaptR effectively scans a space/volume, establishes exact point-to-point measurements and builds the corresponding 3 D model. This innovation relies on a powerful algorithm developed by research scientists to assist the private company LevelS3D.

OptaUrgence is an aid to predict patient flow in A & E (Emergency) Units. The UTT-LOSI research scientists collaborated – for the purpose of preparing a tool to be used by hospital staff – with the Troyes Hospital, analysing and defining statistical models to establish and monitor inflow rates at the A & E services.

GinO (Geolocation Indoor n’Outdoor) is an object-localizer algorithm based on using the Wifi signals from antennae located in health-care establishments.
 

Collaboration with private enterprise

• Development of an innovative solution to monitor company networks, using ’Montimage’.
• Assistance for the modelling of “Smart City” data (with the utility Engie).
• New insurance approaches, based on knowledge/behaviour patterns of the persons insured (with La Mutuelle Générale insurance company).
• Ergonomy for a graphic “client authentication” system (with Orange Lab).

Formations

Engineering diploma in

Network and Telecommunications engineering

This specialty course trains engineers capable of managing corporate networks and/or operators, in a context of variable network architecture and services.
The course integrates mobile technologies, and data security.

There are 3 professionally oriented elective specializations strongly involving new technologies:

• The convergence service-networks;
• Mobile Technologies connected objects (or Internet of Things (IoT));
• Security measures for communication systems

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Master's degree in

Optimization and system security

The UTT’s specialist Master’s degree, code-named OSS, provides aids to decision making to control and optimize industrial processes. The course will help engineering managers to integrate new economic, technological, environmental and social constraints prevalent in today’s industrial activities. The course proposes a multidisciplinary approach and modelling techniques. The students will acquire professional skills, modelling research methodologies and a reinforced knowledge base for potential applications.

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Engineering diploma in

Industrial automation, control and EDP

The professional responsibilities of these engineers will lie in designing innovative on-board systems and smart production systems. They must be able to intervene at any level of a production chain, and/or in the processing of associate data and in automated control processes. This specialist training course was created jointly by UTT-Troyes and URCA-Reims for the purpose of training engineers for the “Factory of the Future (FoF)”. 

2 professional elective specializations focus on design of automated systems:

• Smart production systems;
• On-board technologies and Interoperability.

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Engineering diploma in

Computer sciences and their applications

This is a specialist training course in computer sciences and their applications enabling engineers who qualify to control a company’s data/information retrieval, storage, transmission and circulation practices. They will constantly seek the best fit between end-user needs and the available computer/EDP tools. 

3 professional elective specializations focus on project management:

• Software induced innovation
• Data and knowledge promotion
• Accompaniment in digital transition

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Specialist Mastère

Expert in forensic sciences and cybersecurity

This specialist course examines and analyses the technical, functional and legal aspects of the security measures envisaged/applied to EDP systems and provides for an efficient control of security and system safety audit techniques. This training course on cybersecurity facilitates managerial understanding of the technical and technological environments in which industrial companies operate today. It allows the corporate heads to secure their information/EDP systems with cutting-edge tools, techniques and methodologies. The course processes have been certified “SECNUMEDU” 22 by the French national agency for EDP system (ANSSI or Agence nationale de la sécurité des systèmes d’information).

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Specialist Mastère

Expert in big analytics and metrology

Specialists trained in this course learn to design, implement and operate innovative solutions to help handle and analyse big data. The solutions here call for skills in computer science, mathematics and statistics as well as in social science and humanities. They may be heading a team of data scientists in charge of promoting corporate data, ensuring – as they do – an advisory mission as data strategists for the development of relevant processes or applications appertaining to operations involving exploration of huge volumes of data or to counsel/advise large industrial groups, SMEs or State services and local authorities when it comes to controlling and governing the use of their data sources and production.

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Master's degree in

EDP systems security

This Master’s degree provides training in identification and assessment of the risks when implementing prevention solutions with reference to governance parameters to ensure security (assessment of risks, taking into account of legal constraints, policy definitions, continuing improvement process) and cyberdefence (detection and counter-measures when incidents/attacks occur).

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PHD

Socio-Technological Systems

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