The PhD program is structured into two curricula.

Curriculum in Electronics and Telecommunications

The research topics span the following disciplines.

Bioengineering (IBIO-01/A)
Sensors and biosensors based on innovative materials. Analysis and processing of biosignals. Artificial intelligence in biomedical engineering. Medical systems and devices, including wearable ones, for diagnostics, physiological parameters monitoring, telemedicine, and rehabilitation.

Electromagnetic fields (IINF-02/A)
The activities of the Research Group in Applied Electromagnetics (EMA) at DIEE are: antennas in planar and printed technology, in particular for RFId tags and wearable antennas; realization of antennas using 3D printing techniques (antenna additive manufacturing); radio propagation in urban environments; analysis and design of microwave exposure systems for therapeutic, bio-technological and bio-agricultural applications; characterization of dielectric materials; modeling of bioelectromagnetic phenomena in particular for the treatment of hyperthermia; synthesis of magnetic biomaterials for applications in the field of tissue engineering; use of microwaves for agri-food, biotechnological and environmental applications.

Power Electronic Converters, Electrical Machines and Drives (IIND-08/A)
Energy Storage Systems. The research activity focuses on modeling and characterization of energy storage systems, novel configurations of hybrid energy storage systems, and development of energy management and control strategies for both stationary and vehicular applications.
Electric Mobility. The research activity in this area involves the development of strategies and algorithms for planning of electric vehicle charging infrastructures, smart charging management and control strategies (including grid-to-vehicle and vehicle-to-grid systems), as well as the sizing, management, and control of stationary energy storage systems for charging stations.

Electrical engineering (IIET-01/A)
Algorithms for diagnosis and control in thermonuclear controlled fusion devices by means of machine learning, signal processing and data mining. Medical diagnosis and prognosis supported by machine learning, with applications to epilepsy, multiple sclerosis, SARS-COVID 19. Energy monitoring, prediction, management and conversion. Optimal design. Thermomechanical FEM analysis of magnetic sensors for thermonuclear controlled fusion devices.

Electronics (IINF-01/A)
Diagnostic methodologies for fault analysis and reliability estimation in microelectronics. Implantable and wearable electronics; sensors and biosensors; integrated circuits for signal processing and transduction. Organic semiconductor electronics; bioelectronic devices based on CMOS and organic technology. Processing systems and optimization techniques for embedded and cyber-physical reconfigurable and low-power systems.

Electric and electronic measurements (IMIS-01/B)
The Electric and Electronic Measurements research group at DIEE focuses on the definition, design, implementation and characterization of advanced measurement devices and systems based on data acquisition and digital signal processing. The main fields of application are distributed and synchronized measurements for smart power grids, measurements for dark matter direct observation research experiments, and air quality measurements.

Telecommunications (IINF-03/A
Research topics fall in the broad area of information processing and transmission. Specifically, Ph.D. students address issues related to: quality of experience assessment for multimedia applications; systems for immersive communications; architectures, services and applications for the Internet of Things; network security; location systems; solutions for 5G/6G mobile network management; IoT infrastructure and services to support energy management in buildings; legal and technical aspects of data processing (privacy) and the use of emerging technologies; Digital Twin architectures; activity profiling, recognition and prediction using context information analysis.

Curriculum in Computer and Systems Engineering

The research topics span the following disciplines.

Automatic Control (IINF-04/A)
Discrete event and hybrid systems: supervisory control, Petri nets, diagnosis and opacity of partially observed systems; security of cyber-physical systems. Multi-agent systems; Optimization, estimation, and distributed control; consensus problems. Applications: automation; flexible manufacturing systems; smart cities; multi-robot systems, sensor networks, coordination of distributed energy resources.

Computer Engineering (IINF-05/A)
Analysis and development of machine learning methods and algorithms for secure and trustworthy artificial intelligence systems design, computer security, biometric identity recognition, multimedia content analysis, brain signal analysis. Security of computer systems and networks, cyber intelligence for critical systems protection, 'phishing' attacks, spam. Techniques for low-level analysis and detection of X86/64 and Android malware. Network security: analysis and detection of attacks against web applications and network infrastructures, including machine learning techniques. Image and video analysis for video surveillance applications.