Computer Engineering

The Degree Course in Computer Engineering is aimed at training professionals working in the Information Engineering sector, with specific reference to the design, development, production and management of computer systems. Graduates must also possess adequate knowledge of the methodological-operational aspects of mathematics and other basic sciences and be able to use this knowledge to interpret and describe the problems of computer engineering and telecommunications. They may find employment opportunities in the following areas:

• computer engineering: computer industries operating in the hardware and software production sectors; automation and robotics industries; companies operating in the information systems and computer networks sector; service companies; public administration computer services;
• Information security and protection engineering: management systems and services for computer, logical and telematics application security; public and private companies of IT and telecommunication services.

For the Computer Engineering Course of Studies AA 2022/2023

Prof. Ruggeri Marianna:
1) Numerical methods for ODEs: theory, implementation and applications
2) Partial Differential Equations in Image Processing

Prof. Ricciardello Angela:
1) Application of transforms for signal/image processing
2) Optimization algorithms

Prof. Tumino Aurora:
1) Computer quantum: the physics of the “qubit”
2) Monte Carlo techniques for simulations in the field of Nuclear Physics

Prof. Conti Vincenzo:
1) Biometric recognition systems
2) Cyber security
3) Computer architectures: technologies and evolution

Prof. Pau Giovanni:
1) Wireless sensor networks
2) Applications of Internet of Things: Smart home, Smart city, Smart industry
3) Fuzzy logic controls

Prof. Mario Collotta
1) Expert Systems: IoT smart Solutions
2) User experience and system usability

Prof. Valerio M. Salerno
1) AI-based DBMS self-tuning techniques
2) Data security and privacy in database
3) database for genomics and bioinformatics

The Tutor has an interface role between teachers and students and takes care of, according to the general guidelines of the Department Director and the Degree Course Coordinators, specific initiatives within the teaching activities of the teaching structures. Therefore, he/she carries out support activities for what concerns the optimization of learning processes: for example, he/she provides students with indications and suggestions concerning, among other things, the organization of study times, learning methodologies, planning of evaluation phases, design and drafting of the degree thesis, use of commonly used and advanced software.

CELESTI Alessia

SCHEMBRI Erica