Course in: JOINT DOCTORATE IN INTERACTIVE AND COGNITIVE ENVIRONMENTS (JD ICE) Doctoral Course in agreement with the Queen Mary University of London and Universidad Carlos III de Madrid

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Academic year 2021/2022
Department of Marine, Electric, Electronic and Telecommunication Engineering
Università di Genova
EQF level: 8
37° cicle
Field of study: engineering and engineering trades
Place of teaching
genova (GE), italy
Duration of the course
Nov 2021 - Oct 2024
Attendance methods
Full time
Languages in which the course is held
Italian
University formative credits
180
Deadline (Expired)
15 June 2021
Cost
528
Scholarships
4 

Course contents

INTERACTIVE AND COGNITIVE ENVIRONMENTS / SELF-AWARE AUTONOMOUS SYSTEMS
1.Imitation learning in multisensor self-aware autonomous systems
2.Cooperative self-awareness for AI enabled cognitive radio
3.Signal and Image processing as a support for diagnosis and telerehabilitation practice
4.Deep learning models for predicting automated driving scenarios
5.Edge/cloud big data management, analytics and machine learning
6.Autonomous agents based on deep reinforcement learning
7.Novel inversion techniques for electromagnetic imaging
8.Design and development of resource-constrained systems for machine learning
9.Robotic systems based on tactile sensing for biomedical applications
10.Innovative electronic systems for medical diagnostics in neurology
11.New-generation Control and Management approaches for distributed and cloud-native 5G Radio Mobile Networks
12.Cybersecurity in 5G Radio Mobile Networks and Industry 4.0 Vertical Applications
13.Embedded edge computing machine learning for high density sensor arrays in autonomous systems
14.Cybersecurity threats analysis in Satellite Networks
15.Resource Allocation in Satellite Networks through Virtualization

More detail on specific topics is available on the website http://phd-jdice.diten.unige.it/

SELF-AWARE AUTONOMOUS SYSTEMS
1.Imitation learning in multisensor self-aware autonomous systems
2.Cooperative self-awareness for AI enabled cognitive radio
3.Signal and Image processing as a support for diagnosis and telerehabilitation practice
4.Deep learning models for predicting automated driving scenarios
5.Edge/cloud big data management, analytics and machine learning
6.Autonomous agents based on deep reinforcement learning
7.Novel inversion techniques for electromagnetic imaging
8.Design and development of resource-constrained systems for machine learning
9.Robotic systems based on tactile sensing for biomedical applications
10.Innovative electronic systems for medical diagnostics in neurology
11.New-generation Control and Management approaches for distributed and cloud-native 5G Radio Mobile Networks
12.Cybersecurity in 5G Radio Mobile Networks and Industry 4.0 Vertical Applications
13.Embedded edge computing machine learning for high density sensor arrays in autonomous systems
14.Cybersecurity threats analysis in Satellite Networks
15.Resource Allocation in Satellite Networks through Virtualization

More detail on specific topics is available on the website http://phd-jdice.diten.unige.it/




Page of the course on the University's website

Teaching

Place of teaching
genova (GE), italy
Duration of the course
Nov 2021 - Oct 2024
University formative credits
180
Attendance methods
Full time
Full Time
Languages in which the course is held
Italian

Admission requirements

Type of degree required
2nd Level Degree
Field of study
engineering and engineering trades
Foreign language skills
English
Other educational requirements
Those who have an equivalent foreign academic qualification

Admission

Deadline
15 June 2021
Available places
4
Admission
Admission selection
Cost
528 €
Scholarships
4
- 4 grants, annual grant € 16500

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Notes
Sede del corso: Genova
Other editions of the same course
Academic year edition 2023/2024Academic year edition 2022/2023Academic year edition 2020/2021
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