Hours:
16 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
In this 16hrs course, Gallium-Nitride and advanced silicon technologies for power applications will be presented and described in details.
Particular emphasis will be given to the disruptive gallium-nitride technology that is currently one of the most promising technologies for future power and RF devices. The main advantages and features of GaN-on-Silicon field effect transistors will be presented during the course. Detailed explanations of the different device concepts and of the main fabrication processes will be given in the first part of the course; furthermore, the main roadblocks for a successful integration of GaN technology on conventional Silicon wafers will be described.
The second part of the course will focus more in details on the different characterization techniques specific to GaN technology and on the Infineon GaN Virtual prototyping approach for the device and system modeling.
Finally, an overview on the main applications for GaN devices will be presented.
The final day of the course will be focused on the overview of advanced silicon technologies for power applications. Both high-voltage and mid-to-low-voltage device concepts and technologies will be presented.

Course Contents in brief:

• GaN Power Technology:
• • GaN Fundamentals
  • Device Concepts: normally-on vs. normally-off
  • GaN-on-Silicon Epitaxial Growth and Device Fabrication
  • GaN power device characterization and modeling
  • GaN applications
• Advanced Silicon Technologies for Power applications:
  • Device Concepts
  • Applications

Schedule:

• Day1 – 29 giugno ore 9:00-13:00, 15:00 – 17:00, GaN Power Technology (Module I)
• Day2 – 30 giugno ore 9:00-13:00, 15:00 – 17:00, GaN Power Technology (Module II)
• Day3 – 1 luglio ore 9:00-13:00, Advanced Silicon Power Technologies

Si informano tutti gli utenti interessati che al seguente link è disponibile il programma PHD Plus:

Programma PHD+ 2015 (italiano)

PhD+ Programme 2015 (english)

Le informazioni per partecipare alla selezione possono essere trovate ai seguenti link:

Informazioni

Modalità di partecipazione

L’invito a partecipare al PhD+ è rivolto anche ai ricercatori e docenti dell’Ateneo.

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
The trend towards Multicore and even Manycore architectures affects virtually all areas of computing today. Especially in the mobiles and consumer domains, an extremely high architectural efficiency (MIPS/Watt) is required. In order to manage the complexity of multi-billion transistor IC designs with dozens of heterogeneous processing engines, advanced Electronic System Level (ESL) tools are required. ESL can be roughly subdivided into four categories: architecture modeling and optimization, application SW mapping, simulation and verification, and efficient processing element design. After a general introduction to embedded MPSoC (Multiprocessor Systems-on-Chip) architectures and ESL technologies, the course will cover aspects from the above four domains, in particular SoC architecture exploration, embedded SW development with virtual platforms, efficient code generation for DSPs, and application-specific processing element design. The lectures will be complemented with hands-on lab sessions using modern industrial ESL tools. On the last day, a written final test will be offered.

Course Contents in brief:

• Multiprocessor Systems-on-Chip
• Electronic System Level Design
• SoC architecture exploration and power estimation
• Virtual Prototyping
• Multicore programming tools
• Application-specific processing elements (ASIPs)

Schedule:

• Day1 (14.07.2015): 9.30-17.30
• Day2 (15.07.2015): 9.30-17.30
• Day3 (16.07.2015): 9.30-17.30
• Day4 (17.07.2014): 9.30-11.00 – Final Test

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Network science (aka the science of complex networks) has emerged in the last ten years as an inter-disciplinary and yet distinct research field, seeking to discover common principles, algorithms and tools that govern networks as different as the Internet, the web, human social networks, gene regulatory networks, the brain, ecosystems, social organizations, transport networks.

Course Contents in brief:

• What do real networks look like? and why?
  • Small world effect or 6-degrees of separation, clusters, hubs and heavy tails.
• Navigation in complex networks networks
  • How to find paths in large networks with strongly limited memory and/or computation capabilities?
• Contagion in networks
  • How to model virus spreading, file replication in a P2P network or epidemic routing in DTNs? Which topologies are more vulnerable/efficient? How to slow-down or speed-up contagion?
• Consensus
  • How do beliefs form? How can sensors in a large wireless network improve their measurement estimates?

Schedule:

• 23/03/2015 09:00-13:00
• 24/03/2015 09:00-13:00
• 25/03/2015 09:00-13:00
• 26/03/2015 09:00-13:00
• 27/03/2015 09:00-13:00

Hours:
9 (2 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
The course will first provide an overview on electroactive polymer actuators (EAP), de-scribing key aspects of the different electroactive polymer actuation technologies. Then, the course will provide a detailed description of dielectric elastomer actuators, as the most performing EAP technology. Presented topics will include fundamentals, materials, de-vices and applications, as well as standards. The course will be closed with lab sessions, showing demos of prototype applications.

Course Contents in brief:

• Introduction to electroactive polymer actuators
• Overview on fundamentals, materials, devices and applications of the different electroactive polymer actuation technologies
• Dielectric elastomer actuators: fundamentals, materials, devices and applications
• Dielectric elastomer actuators: standards for material characterisation and device testing
• Demo 1: Finger-tip wearable tactile displays for virtual interactions with soft bodies (for master-slave tele-operation and/or surgical training).
• Demo 2: Artificial muscles for electrically stretchable membrane bioreactors for tissue engineering.
• Demo 3: Bioinspired electrically tuneable optical lens.
• Brainstorming of bioinspired designs

Schedule:

• Day1 – Friday 10 April 2015, time 10.00 – 13:00, Aula Riunioni DII ex A27, Largo Lucio Lazzarino
• Day2 – Friday 17 April 2015, time 10:00 – 13:00, Aula Riunioni DII ex A27, Largo Lucio Lazzarino
• Day3 – Friday 24 April 2015, time 10:00 – 13:00, Aula Riunioni Piano Terra DII, Via Caruso

Hours:
20 (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
An e-Infrastructure is a distributed network of service nodes, residing on multiple sites and managed by one or more organizations. e-Infrastructures allow scientists residing at distant places to collaborate. They offer a multiplicity of facilities as-a-service, supporting data sharing and usage at different levels of abstraction, e.g. data transfer, data harmonization, data processing workflows etc. e-Infrastructures are gaining an important place in the field of biodiversity conservation. Their computational capabilities help scientists to reuse models, obtain results in shorter time and share these results with other colleagues. They are also used to access several and heterogeneous biodiversity catalogues.
In this course, the D4Science e-Infrastructure will be used to conduct experiments in the field of biodiversity conservation. D4Science hosts models and contributions by several international organizations involved in the biodiversity conservation field. The course will give students an overview of the models, the practices and the methods that large international organizations like FAO and UNESCO apply by means of D4Science. At the same time, the course will introduce students to the basic concepts under e-Infrastructures, Virtual Research Environments, data sharing and experiments reproducibility.

Course Contents in brief:

• e-Infrastructures and for Virtual Research Environments
• Practice with the D4Science e-Infrastructure
• Geospatial data visualization and representation
• Statistical models for species distribution modelling
• Accessing to large heterogeneous biodiversity catalogs
• Signal processing of biodiversity-related observations
• Machine Learning applied to species observation records
• Lexical search in large taxonomic trees
• Cloud computing applied to biodiversity analyses

Schedule: May 2015

• Day 1. Introduction to e-Infrastructures, Virtual Research Environments and Large Biodiversity Catalogs– 9.00 – 13.00
• Day 2. Geospatial data descriptions, catalogs and visualization – 9.00 - 13.00
• Day 3. Trends analysis of species observation records and environmental data– 9.00 - 13.00
• Day 4. Data Processing: operations on large species datasets and taxonomic trees – 9.00 – 13.00
• Day 5. Data Processing: species distribution modelling using machine learning techniques and Cloud computing– 9.00 – 13.00

Hours:
20 h (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
In this course, we will discuss the characteristics and benefits of cloud computing as the current technological trend to deliver on-demand computing resources over the Internet on a pay-for-use basis, and the Map Reduce programming paradigm, daily used by large IT companies to process huge amounts of data on large-scale distributed platforms, together with the Apache Hadoop framework, its open source de-facto standard implementation. Furthermore, we will present and discuss some problems and solutions for cloud data management systems. To this end, we will introduce the consensus problem in asynchronous distributed platforms, presenting impossibility results of distributed systems theory, and we will discuss algorithms and solutions for data consistency, availability and fault tolerance. Eventually we will present big data analysis techniques, such as clustering, regression and graph analysis, as fundamental tools to model and extract knowledge from data, with a focus on information retrieval problems.

Course Contents in brief:

• Introduction
• Concepts and techniques for Cloud computing (2 hours)
  • Cloud characteristics and benefits
  • Designing applications for the Cloud
  • Virtualization mechanisms
• Cloud Data Management problems and solutions (6 hours)
  • Availability, consistency and fault tolerance: impossibility results
  • Strong consistency: classical solutions
  • Weak consistency: Amazon solutions
• Programming for Big Data problems (6 hours)
  • MapReduce programming and design patterns
  • Apache Hadoop and PIG frameworks
  • Streaming Data Analysis
• Big Data Analysis Techniques (6 hours)
  • Clustering and regression
  • Graph analysis
  • Machine learning techniques for information retrieval

Schedule:

• June, 08, 15:00-17:00
• June, 09: 15:00-18:00
• June, 10: 15:00-18:00
• June, 11: 15:00-18:00
• June, 12: 15:00-18:00
• June, 18: 15:00-18:00
• June, 22: 15:00-18:00

Hours:
20 h (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell'Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Nowadays computing environments are occupied with a growing multitude of digital networked devices. Software agents running on such devices make them smart objects that visible in our daily lives as real objects. This technology progress follows the vision of Pervasive and Ubiquitous Computing, Ambient Intelligence, Semantic Web, and the more recent paradigms of Smart Spaces and Internet of Things (IoT). This course introduces the concept and methodology of Smart Spaces for creating smart services for IoT-aware computing environments. We consider the Smart-M3 platform, which provides testbed and tools for prototyping smart spaces. The students study several reference application designs, including such emerging domain areas as collaborative work, e-tourism, mobile healthcare, and Industrial Internet.

Course Contents in brief:

• Ubiquitous computing: Internet of Things, smart services, and multi-agent systems
• Agent interaction models: Blackboard and Publish/Subscribe
• Semantic Web: Knowledge representation and reasoning
• The Smart-M3 Platform: Multi-device, Multi-vendor, Multi-domain
• Smart-M3 space applications: Architecture, design, and case studies

Time:

• Day1 (01.12.2014): 9.00-13.00
• Day2 (02.12.2014): 9.00-13.00
• Day3 (03.12.2014): 9.00-13.00
• Day4 (04.12.2014): 9.00-13.00
• Day5 (05.12.2014): 9.00-13.00

Elenco delle attività Formative 2013-2014 della Scuola di Dottorato "Leonardo da Vinci" (cicli XXVII-XVIII)
List of accredited courses 2013-2014 - PhD "Leonardo da Vinci" (cycles XXVII-XVIII)

28-29-30 Maggio 2014

18 ore - 4 crediti