The PhD in SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING (STIET), is promoted by the Electrical, Electronics and Telecommunication Engineering and Naval Architecture Department (DITEN) in agreement with the Italian Institute of Technology (IIT).
Ph.D. STIET Course is coordinated by Prof. Maurizio Valle and it is organized into two curriculum:
- Electromagnetism, Electronics, Telecommunications;
- Computational vision, recognition and machine learning (developed entirely at IIT).
Each student, if foreseen by his / her training plan, will be provided with an access to databases for the development of his / her research, a space within a research laboratory and one (or more, one according to the needs) processing and programming tools so that the research work can be carried out effectively.STIET has very precise didactic and scientific rules (reported on the PhD website) which are transmitted to the students at the beginning of the PhD Course and are mandatory to be admitted to the next year and, at the end of the PhD, to the final exam. The PhD student is assigned with one or more Tutors, first responsible for the student's learning and scientific activity. At least one of the Tutors must be a university professor or a member of the Teaching Board.
STIET Teaching Board involves carefully selected international experts.
ANNOUNCEMENTS
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IEEE-EURASIP Summer School on Signal Processing -- Capri 23-27 September 2024
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https://www.grip.unina.it/s3p2024/home
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
S3P-2024 is 10th in a series of successful PhD schools organized by the Italian signal processing community. It covers a wide range of research fields, from signal and image processing to machine learning, computer vision and computer graphics. This year’s talks are about the common theme of "Understanding and modeling the world around us".
Speakers and talks
- Angela Dai, TU Munich (D): Learning to Understand the 3D World.
- Alyosha Efros, UC Berkeley (USA): Algorithms vs Data: what's more important?
- Irfan Essa, GeorgiaTech & Google (USA): Generative Video: New Models, Applications and Challenges
- Marco Gori, U. Siena (I): Collectionless machine learning
- Tal Hassner, Meta (USA): Real Faces, Fake Faces: From AI to Responsible AI
- Koki Nagano, NVIDIA Research (USA): AI-Mediated Reality: From Synthesis to Verification
- Matthias Nießner, TU Munich (D): Photo-realistic AI Avatars
- Stefano Soatto, UC Los Angeles (USA): From Inductive Learning of Signals to Reasoning about the World
- Tuomas Virtanen, U. Tampere (Finland): Computational analysis of everyday acoustic scenes
DEADLINES
Application deadline: April 20, 2024
Notification of acceptance: May 5, 2024
Registration deadline for accepted participants: May 30, 2024
Accommodation at partner hotels: From May 10 to May 30, 2024
APPLICATION
You will find the detailed school fees here. The fee will include materials, coffee breaks, lunches, a social event (guided tour of the island), a welcome dinner and a social dinner. Depending on the sponsorships, other extras will be covered.
ACCOMMODATIONS
Accommodations at partner hotels are available at a discount rate of 350/450€ for a shared room (double or triple).
VENUE
Capri is widely known for its breathtaking natural beauties, its historical and cultural heritage, and its lively environment, with elegant hotels and luxury shops mixed with typical narrow streets and colorful houses in Mediterranean style. For all these reasons, Capri attracts many visitors from all over the world in all seasons of the year.
Capri can be reached in about 45 minutes from Naples, the largest city in southern Italy, by speedboat. A few kilometers south of Naples lie the Pompei ruins, and further south the Sorrento and Amalfi coast.
Organizers: Giovanni Poggi, Luisa Verdoliva, Francesco Marra, Università Federico II di Napoli
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MaLGa Summer Schools 2024 - DLCV, MLCC, AHAML
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As part of the scientific activity and educational offer of MaLGa - Machine Learning Genoa Center, we are glad to announce that applications are open for the following PhD courses:
DLCV - Deep Learning and Computer Vision 2024, two crash courses, one school (course web page here), to be held 10-14 June 2024
Instructors: Francesca Odone, Nicoletta Noceti
The third edition of the DLCV (Deep Learning and Computer Vision) School provides a hands-on introduction to basic principles of deep learning, computer vision, and their strong interconnection.
*Apply here by April 1st 2024*
MLCC - Machine Learning Crash Course 2024 (course web page here) to be held 25-28 June 2024
Instructors: Lorenzo Rosasco, Silvia Villa, Simone Di Marino, Matteo Santacesaria
MLCC (Machine Learning Crash Course) was held for the first time in 2014 and has evolved in different formats Ince then. It provides an introduction to the fundamental methods at the core of modern Machine Learning, covering theoretical foundations as well as essential algorithms.
*Apply here by April 1st 2024*
AHAML - Applied Harmonic Analysis and Machine Learning 2024 (course web page here) to be held 2-6 September 2024
Instructors: Irène Waldspurger, Alberto Setti, Davide Bianchi, Karlheinz Gröchenig
The school consists of three courses on applied harmonic analysis and machine learning.
*Register here by July 31st 2024*
Our schools are open to students, researchers and professionals. The maximum number of participants for each school is 120.
Follow us on social media to stay up to date on the latest MaLGa Center news!
The Instructors
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Dear students,
The Polytechnic School of Milan will organize a PhD course entitled "Organic electronics: principles, devices, and applications" from the 15th to the 19th of April 2024.
The course will last 25 hours (8 credits). More information can be found here. Enrollments are open until the 31st of March 2024. In-presence participation is preferable, though lectures will be held also for remote attendees.
It follows the syllabus and general information about the course. For further information, you can contact Prof. Dario Natali at This email address is being protected from spambots. You need JavaScript enabled to view it..
Organic semiconductors are both a subject of advanced research worldwide and have already shown to offer interesting opportunities in the realization of new products of high innovative content.
The interest in organic semiconductors stems not only from their intriguing optoelectronic properties –which can be chemically tailored- but also from their chemical and physical peculiarities, such as the mechanical flexibility, solubility, processability at almost room temperature and on virtually arbitrary substrates, compatibility with large area coverage. Most notably, thanks to the solution processability, organic semiconductors can be processed as functional inks and dispensed by means of techniques adapted from the graphic arts, such as flexography, gravure, screen-, aersol- and inkjet- printing. All these features offer a stimulating environment for applications that can be hardly addressed by means of conventional inorganic semiconductors (large-area imagers and displays, thin-film sensors, flexible optoelectronics systems, biocompatible/disposable electronics).
The course aims at providing the scientific and technological background of this emerging field. The state of the art concerning both research findings and industrial realizations will be presented, as detailed in the following.
The course will firstly illustrate the chemistry of organic semiconductors (hints to their synthesis, chemical tailoring, structure-property relationships), and their physical and electronic properties, such as charge carrier (photo-)generation and transport, charge carrier injection, excited states, thermoelectric properties (8 hours). Then the working principles and architectures of organic devices, such as (light-emitting) diodes, thin film transistors, photodetectors, memories, photovoltaic cells, thermoelectric elements, lasers will be illustrated (8 hours). Technologies for device fabrication, with emphasis on scalable techniques (such as those adapted from graphical arts such as screen printing, inkjet printing, flexography, gravure etc.), will be presented and compared; issues and solutions related to device lifetime will be discussed (2 hours). Then the course will address advanced applications of organic electronics: digital and analog circuits, optoelectronic systems, detection of ionizing radiation, organic bioelectronics, organic neuromorphics (7 hours).
The course will give to the participants a critical assessment of the development so far, of actual bottlenecks and future opportunities for organic and printed electronics.
List of Confirmed Speakers
Bertarelli, Polimi & CNST-IIT
D. Natali, Polimi & CNST-IIT
M. Caironi, CNST-IIT
M. Sampietro, Polimi & CNST-IIT
C. de Falco, Polimi
B. Fraboni - UNIBO
M. Zavelani Rossi, Polimi
F. Biscarini - UNIMORE & IIT
M. Di Lauro – CTNSC-IIT
A. Petrozza -CNST- IIT
P. Vacca - SAES Getters
G. Lanzani, Polimi & CNST-IIT
A. Iacchetti - RIBES TECH
Evaluation
An on-line, web-based test will be given to verify if candidates have understood the basic principles of organic devices, the pros and cons of organic semiconductors, the fields of application of organic electronics.