Joint Open Lab and PHD proposal

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1 GRUPPO TELECOM ITALIA Joint Open Lab and PHD proposal Politecnico di Torino Aprile 2015

2 Joint Open Lab : Project at a glance Joint Open Labs are research and innovation laboratories set up within university centres, as a result of partnerships and agreements between Telecom Italia and the major Italian universities in specific fields of scientific and technological interest. JOLs in brief: 5 universities involved in the first phase (Polytechnic University of Turin, Polytechnic University of Milan, Trento University, Sant Anna School of Advanced Studies in Pisa and Catania University) Interdisciplinary teams focusing on university areas of excellence "Open research at international level in collaboration with organisations such as the European Institute of Technology (EIT) and Massachusetts Institute of Technology (MIT) 8 JOLs within 5 Italian universities of excellence ~12 million euros invested (2012 to 2015) Phd, Master, Stage and Thesis 200 young people involved the innovation area Leverage on H2020, EIT and national project funding 2

3 Telecom Italia and universities Robotics Smart Social Spaces Semantics & Big Data Internet of Things Multimedia TO MI PI TN E-Health and Wellbeing Mobile Social Platforms Mobile devices Lab 3

4 Comunicare il riposizionamento di TIM Brand Strategy & Media 4

5 JOL CRAB Connected Robotics Applications lab Mission: Investigation of technologies and development of service concepts where the focus is mainly placed on the relationship between robots and the cloud computing, addressing issues arising from the use of robotic services in domestic and enterprise environments not only of technological, legal, economical, sociological or psychological nature, but also related to ergonomics, cognitive perception, and relational experience exploiting the assets of Telecom Italia such us the broadband connectivity (eg 4G-LTE) and the Cloud Computing Infrastructure. 5 5

6 JOL CRAB Connected Robotics Applications lab Computer and Control Engineering Autonomous Navigation for Mobile Robots in Complex and Crowded Environments (Prof. Basilio Bona) Natural interfaces for adjustable autonomy in service robotics (Prof. Fabrizio Lamberti) Management, Production and Design New Service and Product Design for Robotics. Mobile robotic platform system with interchangeable components (Prof. Claudio Germak) Electrical, Electronics and Communications Engineering Embedded architectures and enabling technologies for UAV visual-based navigation algorithms in Smart Agriculture applications (Prof. Marcello Chiaberge) 6

7 GRUPPO TELECOM ITALIA MobiLAB Joint Open Lab Torino MobiLAB App Crafting General overview JOL MobiLAB and open positions Marco MARENGO

8 JOL MobiLAB: Activities 8

9 It all starts with an idea JOL MobiLAB Marco MARENGO 9

10 JOL MobiLAB Marco MARENGO 10

11 JOL MobiLAB Marco MARENGO 11

12 JOL MobiLAB Marco MARENGO 12

13 PhD PROPOSALS PhD Title The Connected Car Topics Mobile Apps, HCI, Big Data, Security PhD Programme Computer and Control Engineering PoliTO Contact Point Prof. Maurizio JOL MobiLAB Marco MARENGO 13

14 GRUPPO TELECOM ITALIA Swarm Joint Open Lab Torino Swarm Joint Open Lab - Beyond the Internet of Things General overview JOL Swarm and open positions Claudio BOREAN

15 JOL SWARM Lab: Beyond the Internet of things (IoT) Areas: Internet of everything and distributed systems to enable new services SWARM Joint Open Lab studies and design innovative services leveraging on the interactions of a multitude ( swarm ) of people, things, data, places, and on the competitive assets of the telco operator. New service concepts and new technologies based on complex adaptive systems (swarms) are explored and developed. AREAS: SWARM INTELLIGENCE, INTERNET OF THINGS, COOPERATIVE APPLICATIONS Swarm Joint Open Lab Claudio Borean 15

16 JOL SWARM Perspectives Sharing economy Fog Computing Collective behaviors SWARMS OF PEOPLE SWARMS OF DEVICES P2P IoT SWARM INTELLIGENCE (DATA) Swarm intelligence Metaeuristics Swarm Joint Open Lab Claudio Borean 16

17 PhD PROPOSALS PhD Title Peer-to-Peer Internet of Things Decentralized Secure Storage Service Enchanted Objects in Smart Home contexts: interaction and intelligence Swarm Energy Districts Swarm Applications: business models Machine Learning for the evolution of new Smart Home services Topics P2P, IoT, blockchain Security, distributed storage systems, blockchain IoT, IoE (Internet of Everything), Human Machine Interfaces Distributed smart grids, collective intelligence for smart energy apps Business modeling for innovative services Algorithms applied to th evolution of the smart homes PhD Programme Computer and Control Engineering Computer and Control Engineering Computer and Control Engineering Computer and Control Engineering Management, Production and Design Computer and Control Engineering For THESIS of INTERNSHIP just google «JOL SWARM» PoliTO Contact Point Prof. Juan Carlos De Martin Prof. Antonio Lioy Prof. Fulvio Corno Prof. Enrico Macii Prof. Alberto De Marco Prof. Giovanni Squillero Swarm Joint Open Lab Claudio Borean 17

18 GRUPPO TELECOM ITALIA Overview and PhD proposals Gianluca Francini

19 JOL VISIBLE Overview Lab: Multimedia, video and image analysis Areas: Visual Intelligence, Big Data Video and images make up the overwhelming majority of all data that is acquired, produced, transmitted and stored every day. VISIBLE develops algorithms and techniques for implementing visual intelligence: systems that integrate different methods able to learn from, discover meaning in, and reason about visual data. JOL VISIBLE Overview and open positions Gianluca Francini 19

20 JOL VISIBLE Main research topics Object identification MPEG Compact Descriptors for Visual Search Image and video classification Deep learning Visual navigation Fast algorithms JOL VISIBLE Overview and open positions Gianluca Francini 20

21 JOL VISIBLE PhD proposals PhD Title Objectives PhD Programme PoliTO Contact Point Visual Analysis based on Deep Learning The objectives of the research will be the development of techniques based on deep learning for identifying objects contained in images and for understanding which actions are performed in video sequences. Electrical Engineering Prof. Enrico Magli Efficient algorithms and implementations of visual analysis The goal of the project is to develop and implement algorithms for visual analysis taking advantage of the architecture of modern mobile devices and embedded systems. Computer and Control Engineering Prof. Gianpiero Cabodi Learning algorithms for structured neural networks The goal of the project is to develop distributed algorithms for artificial neural networks with many layers. The work will span from image recognition to optimized architectures and algorithms for processing very large datasets. Physics Prof. Riccardo Zecchina JOL VISIBLE Overview and open positions Gianluca Francini 21

22 Grazie

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