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).
It is coordinated by Prof. Maurizio Valle and divided into three curricula:

• Electromagnetism, Electronics, Telecommunications;
• Interactive Cognitive Environments;
• 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.

LINK TO THE NEXT YEAR PhD CYCLE (XXXVI CYCLE): Italian and English versions

Research Themes 2020

For further information about Electromagnetism, Electronics, Telecommunications and Interactive Cognitive Environments curricula themes:

1. Satellite Networks in the 5G Ecosystem, Prof. Mario Marchese (This email address is being protected from spambots. You need JavaScript enabled to view it.)

2. Cybersecurity for Critical Infrastructures and Smart Cities, Prof. Mario Marchese (This email address is being protected from spambots. You need JavaScript enabled to view it.)

3. Analytics of Traffic in the Smart City, Prof. Mario Marchese (This email address is being protected from spambots. You need JavaScript enabled to view it.) with the SME Aitek and the Italian National Research Council (CNR)

4. Telemedicine and Tele-rehabilitation, Prof. Silvana Dellepiane (This email address is being protected from spambots. You need JavaScript enabled to view it.)

5. Artificial Intelligence models and applications for Cyber Security and smart electronic systems, Prof. Rodolfo Zunino (This email address is being protected from spambots. You need JavaScript enabled to view it.)

6. Analysis and development of guidelines for integrating defense-in-depth strategies and security-by-design into production flow, Prof. Rodolfo Zunino (This email address is being protected from spambots. You need JavaScript enabled to view it.) with the private company Fincantieri

7. Embedded Machine Learning, Prof. Paolo Gastaldo (This email address is being protected from spambots. You need JavaScript enabled to view it.)

8. Novel inversion techniques for electromagnetic imaging, Prof. Andrea Randazzo (This email address is being protected from spambots. You need JavaScript enabled to view it.)

9. Conformal antennas: development and validation of new diagnosis techniques, Prof. Matteo Pastorino (This email address is being protected from spambots. You need JavaScript enabled to view it.)

10. Emergent and incremental self-awareness in multisensor physical agents, Prof. Carlo Regazzoni (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Lucio Marcenaro (This email address is being protected from spambots. You need JavaScript enabled to view it.)

11. Data-driven Self-awareness models for AI-enabled wireless communications, Prof. Carlo Regazzoni (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Lucio Marcenaro (This email address is being protected from spambots. You need JavaScript enabled to view it.)

12 . Collective self awareness in multiagent cooperative teams, Prof. Carlo Regazzoni (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Lucio Marcenaro (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Mario Marchese (This email address is being protected from spambots. You need JavaScript enabled to view it.)

13. Electronic systems for Environmental Monitoring, both located (WSN) and mobile (drones), Prof. Daniele Caviglia (This email address is being protected from spambots. You need JavaScript enabled to view it.)

14. Advanced network and edge application control beyond the 5G, Prof. Roberto Bruschi (This email address is being protected from spambots. You need JavaScript enabled to view it.)

15. Cyber Security in a multi-domain virtualized environment, Prof. Raffaele Bolla (This email address is being protected from spambots. You need JavaScript enabled to view it.)

16. Advance approaches for enhancing network and computing sustainability, Prof. Raffaele Bolla (This email address is being protected from spambots. You need JavaScript enabled to view it.)

17. Prognostics methods for hydrogen production plants, Prof. Andrea Trucco (This email address is being protected from spambots. You need JavaScript enabled to view it.)

18. Probabilistic graphical models and machine learning methods for remote sensing image analysis, Prof. Sebastiano Serpico (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Gabriele Moser (This email address is being protected from spambots. You need JavaScript enabled to view it.)

19. Big data management and machine learning in videogame analytics, Prof. Riccardo Berta (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Francesco Bellotti (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Alessandro De Gloria (This email address is being protected from spambots. You need JavaScript enabled to view it.)

20. Deep learning on the edge, Prof. Riccardo Berta (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Francesco Bellotti (This email address is being protected from spambots. You need JavaScript enabled to view it.), Prof. Alessandro De Gloria (This email address is being protected from spambots. You need JavaScript enabled to view it.)

21. Electronic embedded systems for the restoration of the sense of touch in biomedical applications, Prof. Maurizio Valle (This email address is being protected from spambots. You need JavaScript enabled to view it.)

For further information about Computational Vision, Automatic Recognition and Learning themes:

A - 3D scene understanding with geometrical and deep learning reasoning (Reference Tutors: Alessio Del Bue, Yiming Wang)

B - Artificial Intelligence for Human Behavior Analysis (Reference Tutors: Alessio Del Bue, Cigdem Beyan)

C - People and Object Re-identification in the wild (Reference Tutors: Alessio Del Bue, Vittorio Murino)

D - Deep Learning for Multi-modal scene understanding (Reference Tutors: Alessio Del Bue, Pietro Morerio, Vittorio Murino)

E- Weakly-Supervised and Unsupervised Deep Learning (Reference Tutors: Alessio Del Bue, Jacopo Cavazza)

F - Visual Reasoning with Knowledge and Graph Neural Networks for scene understanding (Reference Tutors: Alessio Del Bue, Stuart James, Sebastiano Vascon)

G - Distributed AI in sensor networks and robotic platforms (Reference Tutor: Alessio Del Bue, Lorenzo Natale, Agnieszka Wykowska)