Research | Information Engineering

The Research Area of Computer Engineering (s.s.d. ING-INF/05) has been conducting basic and applied research for over 20 years in the fields of Pattern Recognition, Computer Vision, Evolutionary Computation, Neurocomputational Models of Learning, Decision Support Systems, Artificial Intelligence, Deep Learning, Embedded Systems, and Cybersecurity.

Specifically, the main theoretical and methodological contributions include:

• Algorithms for graph matching
• Techniques for combining classification systems
• Speciation mechanisms in evolutionary algorithms
• Neurocomputational models of neural circuits
• Methods and techniques for Situation Awareness and decision-making support processes

From an applied perspective, the area’s main interests focus on:

• Real-time video and audio stream analysis for Situation Awareness applications
• Traffic monitoring and behavior analysis
• Image analysis in the biomedical field (MRI, X-rays, immunofluorescence)
• Wearable devices for medical applications
• Handwriting analysis for forensic applications, neurodegenerative disease diagnosis, and automated document processing
• Cognitive robotics for social and industrial robotics applications
• Autonomous vehicles
• Systems for intrusion detection (IDS) and malware detection

Research Topics

• Real-time video analysis in surveillance and traffic monitoring contexts
• Biomedical image analysis
• Pattern recognition techniques based on structural representations
• Semantic technologies for video analysis
• Speciation methods in evolutionary algorithms
• Computational models of the central and peripheral nervous systems
• Evolutionary algorithms for optimization in complex problems
• Analysis and recognition of online and offline handwriting
• Information systems
• Decision support systems
• Cognitive robotics
• Autonomous vehicles
• Cybersecurity
• Embedded systems

Teaching Activities

The group’s teaching activities are mainly focused on the undergraduate and graduate degree programs in Computer Engineering and Computer Engineering for Digital Medicine. Specifically, the teaching offering covers subjects in the software development domain, with a focus on fundamentals of computer science, object-oriented programming, programming of web, network, and distributed applications, software engineering, algorithms and data structures, logic networks, semantic technologies, databases, embedded systems, cybersecurity, artificial intelligence.