joint open lab and phd proposalprof. enrico macii swarm applications: business models business...
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GRUPPO TELECOM ITALIA
Joint Open Lab and PHD proposal
Politecnico di Torino
Aprile 2015
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Joint Open Lab : Project at a glance
200 young people
involved the innovation
area
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)
8 JOLs within 5 Italian universities of
excellence
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.
~12 million euros
invested (2012 to
2015)
Leverage on H2020, EIT
and national project funding
Phd, Master,
Stage and Thesis
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)
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Telecom Italia and universities
Semantics & Big Data Smart Social Spaces Robotics
Multimedia
Internet of Things
Mobile Social Platforms
Mobile devices Lab
TO MI
TN
PI
E-Health and Wellbeing
4 Comunicare il riposizionamento di TIM
Brand Strategy & Media
5 5
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.
JOL CRAB – Connected Robotics Applications laB
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JOL CRAB – Connected Robotics Applications laB
• 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
Computer and Control Engineering
Electrical, Electronics and Communications Engineering
• New Service and Product Design for Robotics. Mobile robotic platform
system with interchangeable components (Prof. Claudio Germak)
• Embedded architectures and enabling technologies for UAV visual-based
navigation algorithms in Smart Agriculture applications (Prof. Marcello
Chiaberge)
MobiLAB – App Crafting General overview JOL MobiLAB and open positions
GRUPPO TELECOM ITALIA
MobiLAB Joint Open Lab
Torino
Marco MARENGO
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JOL MobiLAB: Activities
9 JOL MobiLAB
Marco MARENGO
It all starts with an idea
10 JOL MobiLAB
Marco MARENGO
11 JOL MobiLAB
Marco MARENGO
12 JOL MobiLAB
Marco MARENGO
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PhD PROPOSALS
Marco MARENGO
PhD Title Topics PhD
Programme PoliTO Contact Point
The Connected Car Mobile Apps, HCI, Big Data,
Security
Computer and Control
Engineering Prof. Maurizio Morisio
JOL MobiLAB
@JOL_MobiLAB
Swarm Joint Open Lab - Beyond the Internet
of Things General overview JOL Swarm and open positions
GRUPPO TELECOM ITALIA
Swarm Joint Open Lab
Torino
Claudio BOREAN
15 Swarm Joint Open Lab
Claudio Borean
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
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JOL SWARM Perspectives
Swarm Joint Open Lab
Claudio Borean
SWARMS OF PEOPLE
SWARM INTELLIGENCE
(DATA)
SWARMS OF DEVICES
Swarm
intelligence Metaeuristics
Fog
Computing
P2P IoT
Sharing
economy
Collective
behaviors
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PhD PROPOSALS
Claudio Borean
PhD Title Topics PhD
Programme PoliTO Contact Point
Peer-to-Peer Internet of Things P2P, IoT, blockchain Computer and
Control Engineering
Prof. Juan Carlos De Martin
Decentralized Secure Storage Service
Security, distributed storage systems, blockchain
Computer and Control
Engineering Prof. Antonio Lioy
Enchanted Objects in Smart Home contexts: interaction
and intelligence
IoT, IoE (Internet of Everything), Human Machine Interfaces
Computer and Control
Engineering Prof. Fulvio Corno
Swarm Energy Districts Distributed smart grids,
collective intelligence for smart energy apps
Computer and Control
Engineering Prof. Enrico Macii
Swarm Applications: business models
Business modeling for innovative services
Management, Production and
Design Prof. Alberto De Marco
Machine Learning for the evolution of new Smart Home
services
Algorithms applied to th evolution of the smart
homes
Computer and Control
Engineering Prof. Giovanni Squillero
Swarm Joint Open Lab http://jol.telecomitalia.com/jolswarm/category/careers/?lang=en
For THESIS of INTERNSHIP just google «JOL SWARM»
GRUPPO TELECOM ITALIA
Gianluca Francini
Overview and PhD proposals
19 JOL VISIBLE – Overview and open positions
Gianluca Francini
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
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JOL VISIBLE
Main research topics
JOL VISIBLE – Overview and open positions
Gianluca Francini
Object identification
MPEG Compact Descriptors for Visual Search
Visual navigation
Image and video classification
Deep learning
Fast algorithms
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JOL VISIBLE
PhD proposals
JOL VISIBLE – Overview and open positions
Gianluca Francini
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 [email protected]
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 [email protected]
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 [email protected]
Grazie