SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING (STIET), together with the ITALIAN INSTITUTE OF TECHNOLOGIES (IIT), is structured in 3 curricula:

• Electromagnetism, Electronics, Telecommunications
• Interactive Cognitive Environments
• Computational Vision, Automatic Recognition and Learning (developed in IIT)

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

Research Themes 2019

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

1. Electromagnetic diagnostics for biomedical applications, Prof. Matteo Pastorino (This email address is being protected from spambots. You need JavaScript enabled to view it.)

2. Electromagnetic modeling and simulations of interest for low-level laser therapies, Prof. Mirco Raffetto (This email address is being protected from spambots. You need JavaScript enabled to view it.)

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

4. Network Security over smart cities/smart industries, Prof. Mario Marchese (This email address is being protected from spambots. You need JavaScript enabled to view it.)

5. Detection and Localization Techniques for UAV and Drones Monitoring, Prof. Igor Bisio (This email address is being protected from spambots. You need JavaScript enabled to view it.)

6. Learning of interaction models from multisensory signals for artificial self-aware agents capable of imitative behaviors, Prof. Carlo Regazzoni (This email address is being protected from spambots. You need JavaScript enabled to view it.)

7. Multimodal single and collective self-awareness agent models for autonomous ground and aerial vehicles, Prof. Carlo Regazzoni (This email address is being protected from spambots. You need JavaScript enabled to view it.)

8. Machine learning methods for cognitive AI-enabled radio, Prof. Lucio Marcenaro (This email address is being protected from spambots. You need JavaScript enabled to view it.)

9. Electronic skin and haptic feedback for Virtual and Augmented Reality systems, Prof. Maurizio Valle (This email address is being protected from spambots. You need JavaScript enabled to view it.)

10. Smart embedded sensor data decoding systems for edge computing and IoT, Prof. Maurizio Valle (This email address is being protected from spambots. You need JavaScript enabled to view it.)

11. Neuromorphic tactile devices and systems, Prof. Maurizio Valle (This email address is being protected from spambots. You need JavaScript enabled to view it.)

12. Embedded computing for unmanned systems, Prof. Paolo Gastaldo (This email address is being protected from spambots. You need JavaScript enabled to view it.)

13. Intelligent sensor networks and predictive analysis algorithms for optimizing health prevention plans and improving the quality of life at home, Prof. Daniele Caviglia (This email address is being protected from spambots. You need JavaScript enabled to view it.)

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

15. Machine 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.)

16. IoT-enabled architectures and services, 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.)

17. Smart objects in domotics, 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.)

Here you can find further information about Computational Vision, Automatic Recognition and Learning themes:

A - Computer vision for the prediction of human intentions, activities and behavior

B - Human body modeling for Socially-Aware Computer Vision

C - 3D scene understanding with geometrical and deep learning reasoning

D - Multi-modal scene understanding

E - Computer vision into the wild

F - Zero- and Few-Shot Learning

G - Crowd behavioral analysis and event recognition

H - Re-identification

I - Biomedical imaging & Neuroimaging

L - Movement and behavior analysis in biomedical applications