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  • Institut Polytechnique de Paris and HEC Paris launch a new Center with global ambitions in the fields of AI and Data Science

    Institut Polytechnique de Paris and HEC Paris launch a new Center with global ambitions in the fields of AI and Data Science

    Institut Polytechnique de Paris and HEC Paris launch a new Center with global ambitions in the fields of AI and Data Science

    Publié le September 17 2020

    https://youtu.be/qhz_qO6Uk00

    HEC Paris and Institut Polytechnique de Paris (IP Paris) announce the creation of Hi! PARIS, an interdisciplinary center for research and education devoted to AI and Data Science. Hi! PARIS is the first interdisciplinary and interinstitutional center in Europe, bringing together education, research and innovation.

    Its declared ambition is to become a world leader in these fields within five years by answering the major challenges linked to technological transformation and its impact on companies and society at large.

    The Center will draw on the 300 researchers and the infrastructures of IP Paris and HEC Paris devoted to these fields. This reinforces the dynamic and intense collaboration the two institutions have built, having already shared a doctoral school and joint Master degrees. The Center is entirely financed by the patronage of companies which are mobilized behind the two academic institutions.

     

    Hi! PARIS is a unique space devoted to disruption, teaching and innovation, along with the elaboration and transfer of technology. The Center will intervene in key applied disciplines such as energy and environment, defense and security, health, retail and luxury industries, telecommunications, nutrition, finance and insurance, and more.

    By reinforcing the collaboration between IP Paris and HEC Paris, and by capitalizing on expertise which range across a broad spectrum of academic fields, Hi! PARIS will have a powerful impact on a European and global scale in terms of Data-AI research and education (engineers, managers, young researchers, executive education). These resources are at present essential for companies and laboratories, both public and private.

    Professors Eric Moulines (IP Paris) and Thierry Foucault (HEC Paris), scientific co-directors at the Center, believe that: “Thanks to a world-class team of professors-researchers, Hi! PARIS aims to conduct projects which will exploit the full potential of AI by recruiting 30 new professors and 150 PhD students of world-class level and to train the future generation of engineers and managers who will build an AI for all domains, while in the process tripling the number of students trained in this field within five years.”

    In order to support its global ambitions, the Center relies on a disruptive vision of sponsoring companies backed by significant financial contributions, which will support long-term research. These are essential collaborations in the drive to become an international champion in higher education and research in the fields of AI and Data Science.

    Lancement Hi! ParisThey will allow the implementation of a post-doctoral program capable of competing with the greatest institutions in the world. Backed by company partners and academic foundations, the Center’s financial strength will allow it to recruit experts whose research will complement the topics already being studied at Hi! PARIS. The Center already has the backing of five founding sponsors: L’Oréal, Capgemini, TOTAL, Kering, and Rexel.

    For Eric Labaye, President of Institut Polytechnique de Paris: “The objective is to create a world leader in the fields of Artificial Intelligence and Data Science. Thanks to the excellence of our research and education, this Center will work on the frontiers of science in order to develop an Artificial Intelligence and Data Science that are responsible and ethical. Hi! PARIS will contribute to the development of a digital sovereignty of France and Europe, guaranteeing the competitiveness of its enterprises, the efficiency of its administrations, and the quality of life of its citizens.”

    Lancement Hi! ParisAccording to Peter Todd, Dean of HEC Paris: “The success of our project is based on the challenge of achieving multidisciplinarity at the very highest level, relying on the combination of complementary and recognized fields of expertise of HEC Paris and Institut Polytechnique de Paris, but also on the support of major actors in the economic world. We hope that many companies will join Hi! PARIS, thus fashioning a new AI at the service of a durable economy and a just society.”

    MEDIA CONTACTS
    HEC Paris – Julie Dobiecki – dobiecki (at) hec.fr  +33 6 37 39 62 99
    Institut Polytechnique de Paris – Astrid Salcedo – astrid.salcedo (at) ip-paris.fr – +33 7 63 61 27 69

  • The digital transition, a lever for ecological transition?

    The digital transition, a lever for ecological transition?

    The digital transition, a lever for ecological transition?

    Publié le February 20 2020

    As the Fondation Mines-Télécom launches its new monitoring cycle dedicated to the impact of digital technology on the environment, the link between “Digital” and “Environment” is raising an increasing number of questions. With “Energy4Climate”, the Institut Polytechnique de Paris is tackling the challenge of energy transition head on. Télécom SudParis has made a strong commitment alongside teacher-researchers from 25 laboratories. Michel Marot, Professor at Télécom SudParis and member of the E4C (Energy for Climate) management committee, presents this programme.

     

    Master’s and doctoral training for tomorrow’s energy leaders

    Energy4Climate (E4C) is a major multidisciplinary research centre focusing on the energy transition. It was recently created by the 5 founding schools of the Institut Polytechnique de Paris in June 2019.

    Energy4Climate has been selected as a EUR (Ecole Universitaire de Recherche) and offers top-quality teaching to train the leaders in the energy of the future. Several courses based on engineering and entrepreneurship are offered to Master’s and PhD students. The teaching is backed up by research: these two aspects are thus strongly intertwined.

    A multidisciplinary centre devoted to the energy transition

    With 25 laboratories1 Energy4Climate covers all energy and climate disciplines. This includes physicists and chemists interested in energy storage or working on photovoltaic panels, climatologists and meteorologists, mathematicians and economists interested in analysing data related to energy networks, and others like us who work on information systems, telecommunications networks and security.

     

    Some research work is reported to inform policy decisions. Philippe Drobinski, founding director of E4C, is an active member of the IPCC. E4C is a large ensemble, both in terms of its laboratories as well as its staff and disciplines. It is concerned with climate change and energy transition.

     

    Graduates involved in the field and on projects

    E4C also brings together a fairly large economic ecosystem. In addition to researchers, stakeholders also include companies, and especially school alumni networks. “The high level of involvement of graduates in the field enables us to interact. Many partner companies with a long-standing commitment to schools are setting up energy-related projects with us.” explains Michel Marot.

    The construction of the Bachelor’s building on the Ecole Polytechnique campus was financed by Total. “This building has been designed to analyse energy use, observe user behaviour, but also to involve students in projects to observe, measure, design and optimise energy systems” says Michel Marot.

     

    Digital technologies for energy transition

    Within this large ensemble, the teacher-researchers at Télécom SudParis are providing their expertise in digital technologies. “Take the example of the power grid. Renewable systems such as wind turbines or photovoltaics are intermittent sources of energy by nature. How can we coordinate these intermittent energy sources with consumers, or other entities such as storage or the grid (i.e. the network operated by the energy supplier)?” explains Michel Marot.

    “For this to work, you obviously need an information system to retrieve data and an optimal control system. In short, digital technologies. This involves expertise in networks and security – and is obviously fundamental to ensure that information is not altered, and to ensure privacy.” 

     

    Data analysis at the heart of behavioural analysis

    Historically, the telecommunications sector has developed a number of models to study the behaviour of telecommunications networks. “These models naturally apply to the study of power systems because, whether it’s information flows or energy flows, conceptually it doesn’t make much difference.” explains Michel. Moreover, in processing and using information, we may also look at the type, or the sense of the information conveyed. The discipline brought in to do this, data analysis, is applied to electricity networks: for measuring production, consumption and behavioural analysis.

    Trying to influence behaviour to make it more energy efficient involves exploiting all these masses of data. Big data, statistics and automatic learning are areas in which the teacher-researchers at Télécom SudParis have expertise. “Our legitimacy stems from our expertise in all aspects of the information system (IS) in the broadest sense, information transport, processing, security, data exploitation and optimization.”

     

    Energy, telecoms and the weather, experts joining forces

    To contribute to the energy transition, the skills mobilised are naturally multidisciplinary, as is perfectly illustrated by the Peper project2 recognised by DATA IA. How can production, consumption and storage be made to cooperate for a better use of renewable energies? Teacher-researchers from three disciplines, electrical engineering, telecommunications and meteorology, have decided to combine their expertise. Their goal is to introduce artificial intelligence into the information systems of power grids to make them viable by optimizing them.

    Michel Marot says: “We also have operational complementarity, since the data comes from two sites: the DrahiX building at Ecole Polytechnique and the Maison des Elèves at Télécom SudParis. On the one hand, we measure the consumption of an incubator, i.e. a tertiary building, and on the other, that of a student living space. Consumption patterns are radically different.”

    Context is also important. Research needs a specific context to be conducted: platforms, equipment, etc. With E4C, the funds raised are earmarked for studies on energy transition and climate change.

    Just like the training: “Although it is approached in all disciplines as a case study, the energy transition is not in the historical framework of our teaching, which is why it is very important to enrol in the Energy course at the IP Paris doctoral school. This contributes to structuring our training around energy.”

    1. CEREA (ENPC & EDF), CERMICS (ENPC), CIRED (UMR 8568), CMAP (UMR 7641), CREST (UMR 9194), HM&Co (ENPC), I3 (UMR 9217), IMSIA (UMR 9219), IPSL (FR636), IPVF (UMR 9006), LADHYX (UMR 7646), LCM (UMR 9168), LHSV (ENPC, EDF, CEREMA), LIX (UMR 7161), LMD (UMR 8539), LMS (UMR 7649), LPICM (UMR 7647), LPMC (UMR 7643), LSI (UMR 7642), LSO (UMR 7652), LTCI, SAMOVAR (UMR 5157), UCP (ENSTA), U2IS (ENSTA), UMA (ENSTA).

    2. Florence Ossart, professor at the Laboratoire de Génie Electrique de Paris (CNRS, CentraleSupélec, Paris-Sud University, Sorbonne University), Hossam Afifi, professor at Télécom SudParis and Jordi Badosa, École polytechnique project manager at the Laboratoire de Météorologie Dynamique (CNRS, École polytechnique, ENS Paris-Saclay, Sorbonne University)

  • Doctoral thesis: « Protection of the Confidentiality of Recommendation Services for Smart Cities »

    Doctoral thesis: « Protection of the Confidentiality of Recommendation Services for Smart Cities »

    Doctoral thesis: « Protection of the Confidentiality of Recommendation Services for Smart Cities »

    Publié le January 13 2020

    Doctoral School : Sciences et Technologies de l’Information et de la Communication and the Research Unit SAMOVAR (UMR 5157) – Services répartis, Architectures, Modélisation, Validation, Administration des Réseaux are presenting the “examination of a thesis” by Mr Yasir Saleem SHAIKH who is expected to defend his research to obtain his PhD at l’Institut Polytechnique de Paris, prepared at Télécom SudParis in : Computer science

    « Protection de la Confidentialité des Services de Recommandation pour les Villes Intelligentes »

    On Tuesday , January 21, 2020 à 9h30 – at Télécom SudParis  – 9 rue Charles Fourier – 91000 Évry

    Jury membres :

    • M. Noel CRESPI, Professor, Télécom SudParis, FRANCE – Supervisor
    • Mme Maria POTOP-BUTUCARU, Professor, Sorbonne Université, FRANCE – Examiner
    • M. Luigi ATZORI, Professor, University of Cagliari, ITALY – Examiner
    • M. Martin BAUER, Researcher, NEC Europe Ltd, GERMANY – Examiner
    • M. Roberto MINERVA, Assistant professor, Télécom SudParis, FRANCE – Supervisor
    • M. Payam BARNAGHI, Professor, University of Surrey, UK – Reviewer
    • M. JaeSeung SONG, Associate professor, Sejong University, KOREA – Reviewer

    Abstract :

    During the past decade, the Internet of Things (IoT) technology has revolutionized almost all the fields of daily life and has boosted smart cities. Smart cities use IoT technology to collect various types of sensors’ data and then use such data to offer a variety of applications. Since the smart cities’ applications are used by the citizens, therefore providing the customized recommendation services to the citizens based on their preferences, locations and profiles, as well as by exploiting the IoT data (e.g., traffic congestion and parking occupancy) is of great importance which could be provided by an IoT recommender. However, since the IoT recommender utilizes the private data of citizens (e.g., profiles, preferences and habits), it breaches the privacy of the users because the IoT recommender could track the routines and habits of the users by analyzing the historical database or by analyzing the regular recommendation services it offers.

    Therefore, it is important to preserve the privacy of the users from the IoT recommender. In this thesis, we propose a novel privacy preserving IoT recommender system for smart cities that provides recommendations by exploiting the IoT data of sensors and by considering various metrics. Our approach is organized in three parts. Firstly, we develop an EU General Data Protection Regulation (GDPR)-compliant IoT recommender system for smart parking system that provides recommendations of parking spots and routes by exploiting the data of parking and traffic sensors. For this, we first propose an approach for the mapping of traffic sensors with route coordinates in order to analyze the traffic conditions (e.g., the level of congestion) on the roadways and then developed an IoT recommender. The IoT recommender has been integrated into the smart parking use case of an H2020 EU-KR WISE-IoT project and has been evaluated by the citizens of Santander, Spain through a prototype.

    Additionally, we develop an IoT recommender for smart skiing that provides skiing routes comprised of specific types of slopes, as well as the nearest slope. For skiing routes, there does not exist any stable routing engine. Therefore, a novel routing engine for skiing routes was developed. This work has also been integrated into the smart skiing use case of WISE-IoT project. Secondly, although the developed IoT recommender for smart parking is GDPR-compliant, however, it does not fully protect the privacy of users. Because, an indiscriminately sharing of users’ data with untrusted third-party IoT parking recommender system causes a breach of privacy, as user’s behavior and mobility patterns can be inferred by analyzing the past travelling history of users. Therefore, we preserve privacy of users against parking recommender system while analyzing their past parking history using k-anonymity and differential privacy techniques.

    Lastly, since the smart cities applications are developed in a vertical manner and do not talk/communicate with each other, i.e., each application is developed for a certain scenario which generally does not share data with other smart cities applications. Therefore, we proposed two frameworks for the recommendation services across smart cities applications using social IoT. Firstly, on how social IoT can be used for the recommendation services across smart cities applications, and secondly, we propose another type of communication of social IoT at a global level, i.e., social cross-domain application-to-application communications, that enables smart cities applications to communicate with each other and establish social relationships between them.

  • Doctoral thesis: use of smartphones sensor system to detect environmental anomalies

    Doctoral thesis: use of smartphones sensor system to detect environmental anomalies

    Doctoral thesis: use of smartphones sensor system to detect environmental anomalies

    Publié le December 16 2019
    Doctoral School : Sciences et Technologies de l’Information et de la Communication and the Research Unit SAMOVAR (UMR 5157) – Services répartis, Architectures, Modélisation, Validation, Administration des Réseaux are presenting the “examination of a thesis” by Mr Van Khang NGUYEN who is expected to defend his research to obtain her PhD at l’Université Paris-Saclay, prepared at Télécom SudParis in “Réseaux, information et communications”:

    « Détection et agrégation d’anomalies dans les données issues des capteurs placés dans des smartphones »

    TUESDAY, DECEMBER 17, 2019 at 2:30 p.m. – room A003 at Télécom SudParis 9 rue Charles Fourier – 91000 Évry

    Jury members :

    • M. Eric RENAULT, Professor, ESIEE, FRANCE – Supervisor
    • Mme Selma BOUMERDASSI, Assistant professor, CNAM, FRANCE – Reviewer
    • M. Hacène FOUCHAL, Professor, Université de Reims, FRANCE – Reviewer
    • M. Viet Hai HA, Assistant professor, Université de Hué, Vietnam, VIET NAM – Co-supervisor
    • Mme Thi Mai Trang NGUYEN, Assistant professor, Université Pierre et Marie Curie, FRANCE – Examiner
    • Mme Véronique VÈQUE, Professor, CentraleSupélec, FRANCE – Examiner
    Abstract :

    Today, smartphones have become extremely popular and equipped with many sensors such as camera, microphone, GPS sensor, accelerometer, magnetometer, etc. Smartphone users connect more and more often to the Internet. As a result, there is a great deal of research into smartphone sensor systems in many areas of application. Our research aims at building a smartphone sensor system to detect environmental anomalies. We built the system model and improved the main components: anomaly detection method for the smartphone and method of synthesis of anomaly in the data center.

    For anomaly detection methods, we rely on current research for the detection of traffic anomalies. In fact, there is a need for an efficient method that responds well to different environments and devices but consumes few resources. Therefore, we propose a method for anomaly detection based on the test of outliers in statistics. The improved algorithms have low complexity and use less memory. Our experiments on real data show that our methods adapt well to the different conditions in the case of the detection of road anomalies. The aggregation of anomaly data has not received much attention. Current research only stops at the simple grouping method based on distance. We developed a data integration method that makes it possible to find more precisely the location of anomalies.

    We implemented two algorithms. A simple clustering algorithm that works cumulatively. This algorithm decomposes the data to increase speed and accuracy for anomaly location. Another algorithm makes it possible to find anomalies based on the search for probability density modes. We also propose a way to assign a weight to the found locations to assess reliability. Our simulations confirmed the effectiveness of this algorithm.

  • Laetitia JEANCOLAS is defending her PhD thesis

    Laetitia JEANCOLAS is defending her PhD thesis

    Laetitia JEANCOLAS is defending her PhD thesis

    Publié le November 26 2019

    Doctoral School : Sciences et Technologies de l’Information et de la Communication and the Research Unit SAMOVAR (UMR 5157) – Services répartis, Architectures, Modélisation, Validation, Administration des Réseaux are presenting the “examination of a thesis” by Mrs Laetitia JEANCOLAS who is expected to defend her research to obtain her PhD at l’Université Paris-Saclay, prepared at Télécom SudParis in “Traitement du signal et des images” :

    « Détection précoce de la maladie de Parkinson par l’analyse de la voix et corrélations avec la neuroimagerie »

    On wednesday, december 4, 2019 at Amphi Etoile Télécom SudParis, 9 rue Charles Fourier, 91011 Evry

    Jury members :

    • M. Badr-Eddine BENKELFAT, Professor, Télécom SudParis, FRANCE – Supervisor
    • Mme Dijana PETROVSKA, Assistant professor, Télécom SudParis, FRANCE – Advisor
    • M. Habib BENALI, Professor, Université Concordia, CANADA – Co-supervisor
    • M. Serge PINTO, Researcher, Aix Marseille Université, FRANCE – Examiner
    • M. Bjoern SCHULLER, Professor, Imperial College London, ROYAUME-UNI – Reviewer
    • M. Chafic MOKBEL, Professor, University of Balamand, LIBAN – Reviewer
    • Mme Laurence DEVILLERS, Professor, LIMSI, FRANCE – Examiner
    • M. Stephane LEHERICY, Professor, Institut du Cerveau et de la Moelle, FRANCE – Examiner

    Abstract :

    Vocal impairments, known as hypokinetic dysarthria, are one of the first symptoms to appear in Parkinson’s Disease (PD). A large number of articles exist on PD detection through voice analysis, but few have focused on the early stages of the disease. Furthermore, to our knowledge, no study has been published on remote PD detection via speech transmitted through the telephone channel.

    The aim of this PhD projet was to study the vocal changes in PD at early and prodromal stages, and build detection models, and monitoring models using correlations with neuroimaging. The purpose is eventually to build a cheap early diagnosis and monitoring tool, that doctors could use at the hospital, and even more interestingly, that could be used by telephone. To reach that goal, we have built a large voice database with more than 200 subjects, including early PD patients, healthy controls and iRBD subjects, who can be considered at PD prodromal stage. All these subjects performed different vocal tasks and were recorded with a professional microphone, with the internal microphone of a computer, and once a month with their own phone.

    We analyzed the vocal recordings with different methods, using features related to articulation, prosody, phonation, speech timing, and the ability to follow a given rhythm. We also analyzed the gender effect on early PD detection through voice, which had not been studied yet. With the professional microphone recordings, we were able to detect early PD with an accuracy (Acc) of 83% for males, just using 1min30 of reading, sentence repetitions and rapid syllable repetitions. As for women, we reached Acc = 70% with 1min of free speech. The performances of our classifiers are at the state-of-the-art level, despite the fact that most studies in this field do not focus on the early stage. In addition, our patients were under the effect of their treatments when they were recorded, leading to fewer speech impairments and to a more difficult classification.

    Finally, another interest of our study is that the classifications are entirely automatic, requiring no manual operation for the analysis. With the telephone recordings, we achieved classification accuracy of 75% for men, with 5min of rapid syllable repetitions, and 67% for women, with 5min of free speech. This is an important first step towards early PD telediagnosis. As for the correlation with neuroimaging, we were able to linearly predict DatScan and MRI neuromelanin sensitive imaging data, from a set of vocal features, in a significant way. This result is promising regarding the possible future use of voice for early PD monitoring.

  • IMT’s General Management Board and a part of Télécom SudParis relocate to Palaiseau

    IMT’s General Management Board and a part of Télécom SudParis relocate to Palaiseau

    IMT’s General Management Board and a part of Télécom SudParis relocate to Palaiseau

    Publié le November 20 2019

    The impressive building measuring 200 meters long by 100 meters wide, designed by Grafton Architects, the Irish firm that won the architecture competition, opened its doors on Monday, 21 October 2019, housing IMT’s general management board and a part of Télécom SudParis, joined by Télécom Paris on Monday, 28 October.

    In all, approximately 1,350 students and nearly 700 faculty and staff members are now located at 19, Place Marguerite Perey in Palaiseau. The first two floors of the 40,000 squaremeter building are devoted to student life and classrooms, while labs and research platforms are spread out over the other floors. The building also features a multimedia library, a creative lab, a FabLab, a restaurant, two cafeterias, sports areas, large auditoriums and a number of interior courtyards with greenery.

    The €150 million project was financed 70% by the sale of the building at the Télécom Paris site in the 13th arrondissement and by an additional endowment from the State. Situated at the center of the École Polytechnique district, the building is conveniently located across from the future Palaiseau station on line 18 of the Grand Paris Express. This location was decided upon in 2009 as part of the campus operation, and has taken on greater meaning since the founding in May 2019 of Institut Polytechnique de Paris, in which IMT is involved through its two graduate schools, Télécom Paris and Télécom SudParis.

    “This project has been a long time in the making and it’s finally a reality – I’m delighted for our two schools and for IMT as a whole, since it will ultimately benefit from this exceptional environment,” says Odile Gauthier, Executive Director of IMT. “This is a historic day for Télécom SudParis,” added Christophe Digne, Dean of the School, at the opening of the Palaiseau building on 21 October 2019.

    For the two schools, this location represents an opportunity to work more closely with one another as well as with IP Paris schools, research centers and major corporations located on the Plateau de Saclay. “We’re happy to see this major project come to fruition – it’s a historic milestone for Télécom Paris. By moving to the IP Paris campus, our students, faculty members and staff will benefit from a new environment, which is certainly very different from Butte aux Cailles, but which will provide greater opportunities for interactions between training, research and innovation,“ says Yves Poilane, Director of Télécom Paris.
  • Mc2i Groupe and Recommerce Group sponsor promotions 2019/2022

    Mc2i Groupe and Recommerce Group sponsor promotions 2019/2022

     

     

    Mc2i Groupe and Recommerce Group sponsor promotions 2019/2022

     

     

    Mc2i Groupe and Recommerce Group sponsor promotions 2019/2022

    Publié le September 3 2019

    PRESS RELEASE – 3 September 2019

     

    The two “Grandes Ecoles” Institut Mines Telecom Business School (IMT-BS) and Telecom SudParis sign this Tuesday, September 3, with mc2i Group, independent consulting firm in digital transformation, and Recommerce Group, leader of reconditioned smartphone in Europe, a convention of sponsorship for the next three years.

    G05A8564

    Nine hundred students this year enter the Telecom SudParis engineering school and the IMT-BS business school. On Tuesday, September 3rd, they will meet the sponsors who will accompany them in the key moments and innovative educational projects of their two courses: Creativity and Innovation Week, Entreprendre® Projects Challenge, Climate Negotiation Challenge, transversal skills projects, Innovation Game, industrial projects, IS Lab Challenge … The meaning of this commitment, for companies as for schools, extends well beyond the simple participation in projects.

     

    Get involved with common values

    Digital transformation, entrepreneurship, innovation, responsibility , are major educational axes for IMT-BS and Télécom SudParis.

    ” The signing of this sponsorship is symbolic for us, explains Vincent Pascal, Director of Business Development mc2i Group, since as IMT-BS and Telecom SudParis celebrate their 40th anniversary this year, mc2i Group is celebrating its 30th anniversary. It is also the logical result of more than 10 years of privileged relationships with these two schools . We look forward to sharing our experience with students, but also to seeing them grow through the many educational projects we will be doing together. “

    Proximity and shared trust that have borne fruit. Recommerce Group, founded by Pierre-Etienne Roinat and Benoit Varin, two alumni IMT-BS, was incubated by IMT Starter, the schools incubator . And today, schools are very well represented in both companies.

    For Recommerce Group and mc2i Groupe, this sponsorship is the opportunity to get involved in the training of students , who, for some of them, will become their collaborators. It also represents a special opportunity, by supporting their training, to support the education sector, research, initial and continuing training.

    ” We are honored to accompany these students,” explains Benoit Varin, Secretary General of Recommerce Group. On the occasion of our 10th anniversary, sponsoring these two new promotions represents a new dynamic that is close to our heart, around our shared values ​​of entrepreneurship and the desire for a more responsible technology . This partnership is a great opportunity to build with the leaders of tomorrow the foundations of an even more innovative circular economy. “

    Telecom SudParis and Institut Mines-Télécom Business School, at the forefront of digital transformation and the challenges of our society, in close contact with the corporate world, are delighted to sign this three-year agreement with mc2i Groupe and Recommerce Group.

    Press contact

    Publié le September 3 2019

    Sandrine Bourguer

    sandrine.bourguer (at) telecom-sudparis.eu

    +33 (0)6 71 70 13 90

  • Institut Polytechnique de Paris officially established

    Institut Polytechnique de Paris officially established

    Institut Polytechnique de Paris officially established

    Publié le June 6 2019
    PRESS RELEASE – june 3th, 2019
    Institut Polytechnique de Paris, encompassing École Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis has now been officially established by government decree. Its aim is to become a world-class science and technology institute.

    "

    An experimental public institution

    The May 31, 2019 decree published in the French official journal on June 2, 2019 formally establishes the experimental public institution to be known as “Institut Polytechnique de Paris” and approves its articles of association. This new institution groups together a number of existing schools: École Polytechnique, ENSTA Paris, ENSAE Paris, GENES, Télécom Paris and Télécom SudParis, all IMT (Institut Mines-Télécom) schools. The status of “experimental public institution” makes it possible to group together public or private higher education and research institutions that contribute to providing a public higher education and research service. Introduced by an ordinance formed on December 12, 2018, it allows the institutions involved to retain their own legal personality.

     

    A first academic year begins in 2019

    Starting in 2019, Institut Polytechnique de Paris will offer Master’s and PhD programs. It will also award the post-doc HDR qualification (accreditation to supervise research). IP Paris’s multi-disciplinary Doctoral School will be ready to enroll its first students, and the co-accreditation of the Hadamard mathematics doctoral school (EDMH) as well as the master’s co-accreditations with the University of Paris-Saclay will also officially be in effect. By the end of June 2019, IP Paris will also be filing an application for the accreditation of its master’s offering, which is scheduled to be launched in autumn 2020.

    Students will be enrolled both with Institut Polytechnique de Paris for the specific diplomas it will issue as well as with one of the component institutions for their respective diplomas (undergraduate and graduate level).

     

    A major player in the development of the Saclay Plateau campus

    Institut Polytechnique de Paris is one of the major players in the development of the Saclay Plateau campus. With its five partner schools, which will all be present on the campus by the end of the year, around 840 teacher-researchers working in the 30 different IP Paris labs and 7,600 students, including almost a thousand PhD students, IP Paris is collaborating with a multitude of training, research and innovation institutions and helping to develop ties between higher education and the many businesses present on the Saclay Plateau.

    A partnership agreement has already been signed between IP Paris and HEC Paris, with the aim of creating an ambitious multi-disciplinary alliance that spans across the Technology and Business Innovation fields.

    With the creation of Institut Polytechnique de Paris, its member schools will soon be leaving the University of Paris-Saclay. However, an agreement will be signed between the two establishments to define the ways in which they can continue to collaborate in order to guarantee strong management and satisfactory access conditions for all to shared equipment and projects. The University of Paris-Saclay and Institut Polytechnique de Paris will therefore continue working closely together in training and research as well as for the amenities and infrastructures on the Saclay Plateau campus.

     

    A change of name for three of the IP Paris schools

    With the official establishment of Institut Polytechnique de Paris, three of the schools will be changing their names to become, respectively, ENSTA Paris, ENSAE Paris and Télécom Paris. These schools will all simultaneously withdraw from the “ParisTech” development foundation on December 31, 2019, after the end of the international recruitment campaign under the ParisTech brand name for the 2020-2021 academic year.

    Nonetheless, these schools leaving the foundation does not mean that they will no longer be participating in several large-scale projects previously created as part of the ParisTech alliance including: the ParisTech Shanghai Jiao Tong Engineering School (SPEIT) in Shanghai, the Institut Villebon Georges Charpak, the Institut Pour la Transition Énergétique, VeDeCom or the ATHENS exchange week program in Europe.

    A new graphic charter

    The creation of Institut Polytechnique de Paris brings about the creation of a new graphic charter for the institution as well as certain changes for its partner schools. Each school will now display their IP Paris membership in their individual logo.

    Institut Polytechnique de Paris now has its own website: www.ip-paris.fr

  • Using personalised services without privacy loss: what solutions does technology have to offer?

    Using personalised services without privacy loss: what solutions does technology have to offer?

    Using personalised services without privacy loss: what solutions does technology have to offer?

    Publié le March 15 2019

    Online services are becoming more and more personalised. This transformation designed to satisfy the end-user might be seen as an economic opportunity, but also as a risk, since personalised services usually require personal data to be efficient. Two perceptions that do not seem compatible. Maryline Laurent and Nesrine Kaâniche, researchers at Telecom SudParis and members of the Chair Values and Policies of Personal Information, tackle this tough issue in this article. They give an overview of how technology can solve this equation by allowing both personalization and privacy.

    Personalised services have become a major stake in the IT sector as they require actors to improve both the quality of the collected data and their ability to use them. Many services are running the innovation race, namely those related to companies’ information systems, government systems, e-commerce, access to knowledge, health, energy management, leisure and entertaining. The point is to offer end-users the best possible quality of experience, which in practice implies qualifying the relevance of the provided information and continuously adapting services to consumers’ uses and preferences.

    Personalised services offer many perks, among which targeted recommendations based on interests, events, news, special offers for local services or goods, movies, books, and so on. Search engines return results that are usually personalised based on a user’s profile and actually start personalising as soon as a keyword is entered, by identifying semantics. For instance, the noun ‘mouse’ may refer to a small rodent if you’re a vet, a stay mouse if you’re a sailor, or a device that helps move the cursor on a computer screen if you’re an Internet user. In particular, mobile phone applications use personalisation; health and wellness apps (e.g. the new FitBit and Vivosport trackers) can come in very handy as they offer tips to improve one’s lifestyle, help users receive medical care remotely, or warn them on any possible health issue they detect as being related to a known illness.

    How is personalisation technologically carried out?

    When surfing on the Internet and using mobile phone services or apps, users are required to authenticate. Authentication allows to connect their digital identity with the personal data that is saved and collected from exchanges. Some software packages also include trackers, such as cookies, which are exchanged between a browser and a service provider or even a third party and allow to track individuals. Once an activity is linked to a given individual, a provider can easily fill up their profile with personal data, e.g. preferences and interests, and run efficient algorithms, often based on artificial intelligence (AI), to provide them with a piece of information, a service or targeted content. Sometimes, although more rarely, personalisation may rely solely on a situation experienced by a user – the simple fact they are geolocated in a certain place can trigger an ad or targeted content to be sent to them.

    What risks may arise from enhanced personalisation?

    Enhanced personalisation causes risks for users in particular. Based on geolocation data only, a third party may determine that a user goes to a specialised medical centre to treat cancer, or that they often spend time at a legal advice centre, a place of worship or a political party’s local headquarters. If such personal data is sold on a marketplace[1] and thus made accessible to insurers, credit institutions, employers and lessors, their use may breach user privacy and freedom of movement. And this is just one kind of data. If these were to be cross-referenced with a user’s pictures, Internet clicks, credit card purchases and heart rate… What further behavioural conclusions could be drawn? How could those be used?

    One example that comes to mind is price discrimination,[2] i.e. charging different prices for the same product or service to different customers according to their location or social group. Democracies can also suffer from personalisation, as the Cambridge Analytica scandal has shown. In April 2018, Facebook confessed that U.S. citizens’ votes had been influenced through targeted political messaging in the 2016 election.

    Responsible vs. resigned consumers

    As pointed out in a survey carried out by the Chair Values and Policies of Personal Information (CVPIP) with French audience measurement company Médiamétrie,[3] some users and consumers have adopted data protection strategies, in particular by using software that prevents tracking or enables anonymous online browsing… Yet this requires them to make certain efforts. According to their purpose, they either choose a personalised service or a generic one to gain a certain control over their informational profile.

    What if technology could solve the complex equation opposing personalised services and privacy?

    Based on this observation, the Chair’s research team carried out a scientific study on Privacy Enhancing Technologies (PETs). In this study, we list the technologies that are best able to meet needs in terms of personalised services, give technical details about them and analyse them comparatively. As a result, we suggest classifying these solutions into 8 families, which are themselves grouped into the following 3 categories:

    • User-oriented solutions. Users manage the protection of their identity by themselves by downloading software that allows them to control outgoing personal data.Protection solutions include attribute disclosure minimisation and noise addition, privacy-preserving certification,[4] and secure multiparty calculations (i.e. distributed among several independent collaborators).
    • Server-oriented solutions. Any server we use is strongly involved in personal data processing by nature. Several protection approaches focus on servers, as these can anonymise databases in order to share or sell data, run heavy calculations on encrypted data upon customer request, implement solutions for automatic data self-destruction after a certain amount of time, or Privacy Information Retrieval solutions for non-intrusive content search tools that confidentially return relevant content to customers.
    • Channel-oriented solutions. What matters here is the quality of the communication channel that connects users with servers, be it intermediated and/or encrypted, and the quality of the exchanged data, which may be damaged on purpose. There are two approaches to such solutions: securing communications and using trusted third parties as intermediators in a communication.

    Some PETs are strictly in line with the ‘data protection by design’ concept as they implement data disclosure minimisation or data anonymisation, as required by Article 25-1 of the General Data Protection Regulation (GDPR).[5] Data and privacy protection methods should be implemented at the earliest possible stages of conceiving and developing IT solutions.

    Our state of the art shows that using PETs raises many issues. Through a cross-cutting analysis linking CVPIP specialists’ different fields of expertise, we were able to identify several of these challenges:

    • Using AI to better include privacy in personalised services;
    • Improving the performance of existing solutions by adapting them to the limited capacities of mobile phone personalised services;
    • Looking for the best economic trade-off between privacy, use of personal data and user experience;
    • Determining how much it would cost industrials to include PETs in their solutions in terms of development, business model and adjusting their Privacy Impact Assessment (PIA);
    • PETs seen as a way of bypassing or enforcing legislation.
  • Professor from Telecom SudParis is named 2019 IEEE Fellow

    Professor from Telecom SudParis is named 2019 IEEE Fellow

    Professor from Telecom SudParis is named 2019 IEEE Fellow

    Publié le February 18 2019

    Daqing Zhang, researcher from Telecom SudParis is honored by the Institute of Electrical and Electronics Engineers.

    The Institute of Electrical and Electronics Engineers (IEEE), a professional non-profit organization of more than 423 000 members around the world, publishes each year a list of its fellow members. These members have an “extraordinary accomplishments” in the advancement of technology and, after a rigorous evaluation procedure, one out of thousand members is getting named IEEE Fellows for his or her contributions. From January 2019, one of them will be Telecom SudParis affiliated.

    Daqing Zhang, professor in Department Networks and Mobile Multimedia services at Telecom SudParis and CNRS since 2007, was honored for his “contributions to context-aware mobile and pervasive systems”. He is the director of the Ambient Intelligence and Pervasive System Group.

    He has published over 200 papers in referred journals, conferences and books, where his work on context model and middleware is widely accepted by pervasive computing, mobile computing, networking and service-oriented computing communities. His research work got around 13,000 citations with H-index of 55 (according to Google Scholar as of Nov. 2018).

    He is the winner of the Ten Years CoMoRea Impact Paper Award at IEEE PerCom 2013, the Honorable Mention Award at ACM UbiComp 2015 and 2016, the Best Paper Award at IEEE UIC 2015 and 2012 and the Best Paper Runner Up Award at Mobiquitous 2017 and 2011.

    Daqing Zhang got his Ph.D. from University of Rome “La Sapienza” and University of L’Aquila, Italy in 1996.

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