Courses
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Sistemi di Telecomunicazioni
Curriculum: Curriculum Unico nella Laurea in Ingegneria Elettronica L-8
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Metaverse and Artificial Intelligence
Curriculum: Applied Artificial Intelligence nella Laurea Magistrale in Ingegneria Delle Telecomunicazioni LM-27
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Laboratorio di Multimedialità
Curriculum: Curriculum Unico nella Laurea in Ingegneria Elettronica L-8
Curriculum: Intelligenza Artificiale E Machine Learning nella Laurea Magistrale in Ingegneria Informatica LM-32 -
Ethical Hacking
Curriculum: Analisi Dei Dati E Statistica, Modellistica Fisica E Simulazioni Numeriche, Crittografia E Sicurezza Informatica nella Laurea Magistrale in Scienze Computazionali LM-40
Curriculum: Applied Artificial Intelligence, Wireless Technologies nella Laurea Magistrale in Ingegneria Delle Telecomunicazioni LM-27
On-going courses
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Available theses
We offer students the opportunity to contribute to cutting-edge research projects in multimedia, security, and other signal processing topics. Below is a list of available theses and projects. The activities outlined in the thesis proposal are not mandatory. Specific tasks and timelines will be defined in collaboration with the student, based on their skills and project progress. The proposal may be adjusted as needed.
Immersive Technologies
Communication, Networking and Security
Objective:
The proposed thesis aims to investigate the effects of network parameters, such as latency and jitter, on the Quality of Experience (QoE) during a shoulder rehabilitation session in a Virtual Reality (VR) environment.
The thesis work may include:
To conduct subjective experiments using a VR application for rehabilitation exercises;
The implementation of various types of network delays;
To identify and analyze potential security threats during the connection.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: communication, networking and security; immersive technology; QoE;
Objective: The proposed thesis aims to investigate the effects of network parameters, such as latency and jitter, on the Quality of Experience (QoE) during a shoulder rehabilitation session in a Virtual Reality (VR) environment.
The trials will be conducted in collaboration with physiotherapists and real patients at Policlinico Campus Bio-Medico.
The thesis work may include:
To conduct subjective experiments using a VR application for rehabilitation exercises;
The implementation of various types of network delays;
To identify and analyze potential security threats during the connection.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: communication, networking and security; immersive technology; QoE;
Quality of Experience
Objective: This thesis aims to evaluate user interaction and Quality of Experience (QoE) in a virtual learning environment enhanced by multi-sensory feedback, specifically smell and haptics. The study will focus on a pilot implementation of a virtual classroom where these sensory modalities are integrated to enhance engagement, immersion, and learning outcomes. It will involve the conducting of user studies to measure Quality of Experience (QoE), including immersion, presence, and multi-sensory engagement and the analysis of the accessibility of XR technologies for diverse user groups. Examining the synergistic effects of combining smell and haptic feedback in virtual learning.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: immersive technology; QoE;
Objective: This thesis focuses on completing subjective testing and performing data analysis to investigate whether user movements in a Virtual Reality (VR) scenario are related to the quality of displayed content.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: immersive technology; QoE; signal processing;
Objective: This thesis focuses on completing subjective testing and performing data analysis to investigate whether eye tracking data in a Virtual Reality (VR) scenario is related to the quality of displayed content.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: immersive technology; QoE; signal processing;
Objective: This thesis aims to investigate how the integration of haptic feedback (using the WeArt device) and olfactory stimulation affects the Quality of Experience (QoE) in Virtual Reality (VR). By introducing additional sensory modalities, the study seeks to assess how these technologies enhance or alter user immersion, engagement, and overall experience in VR environments.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: immersive technology; QoE; signal processing;
Objective: The thesis aims to digitally reconstruct a room from Palazzo Altemps and evaluate the Quality of Experience (QoE) associated with the virtual environment. The goal is to assess how accurately the reconstructed space preserves the architectural and artistic details of the original and how users perceive the immersive experience in terms of realism, engagement, and usability.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; QoE; immersive technology;
Signal Processing
Objective: The proposed thesis aims to study the feasibility of applying machine learning and deep learning algorithms to the recomposition of pictorial fragments and their contextualization within the architectural structures to which they originally belonged.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; machine learning and deep learning;
Objective: The thesis aims to evaluate the Quality of Experience (QoE) of the digitalized spaces from which pictorial fragments originated, as well as the 3D reconstruction and modeling of the environments these paintings once decorated, in Virtual Reality. The study will focus on the perception and usability of these virtual spaces, assessing how effectively they convey the historical and artistic context of the original settings.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; machine learning and deep learning; immersive technology; QoE;
Objective: This thesis aims to investigate how children with Autism Spectrum Disorder (ASD) process visual information while reading stories. By analyzing eye movement patterns, the study seeks to identify unique characteristics or differences in visual attention, information processing, and comprehension strategies in children with ASD. The project is conducted in collaboration with Policlinico Umberto I.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; immersive technology;
Objective: This thesis aims to analyze the interactions of children with Autism Spectrum Disorder (ASD) within a Virtual Reality (VR) environment. The study seeks to explore how VR can serve as an initial filter and controlled space to facilitate social interactions, ultimately helping to improve communication and interaction skills in real-life settings.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; immersive technology;
Objective: This thesis aims to investigate interpersonal interactions by analyzing audio recordings collected during a subjective experiment. The focus is on identifying objective audio features that can be correlated with the perceived quality of interaction. By linking measurable audio characteristics to subjective evaluations, the study seeks to develop a framework for assessing interaction quality based on speech and conversational dynamics.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; immersive technology; QoE;
Objective: This thesis aims to investigate methods for Simultaneous Localization and Mapping (SLAM) in indoor environments, leveraging audio measurements as the primary sensory input, to determine the position of a vehicle, of the audio sources and reconstructing the spatial characteristics of the environment.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; navigation and positioning;
Objective: This thesis aims to develop a methodology for detecting, classifying, and semantically segmenting changes in urban environments by analyzing temporally distant images of the same scene. By identifying and categorizing changes (e.g., new construction, road modifications, or vegetation growth), this research seeks to advance applications in urban planning, environmental monitoring, and autonomous systems.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; machine learning and deep learning;
Objective: This thesis aims to design, implement, and evaluate a network of GNSS (Global Navigation Satellite System) stations with customized RTCM (Radio Technical Commission for Maritime Services) message broadcasting to improve positioning accuracy and integrity. The work focuses on configuring the network, developing custom messages, and assessing the system’s impact on accuracy and robustness under different conditions.
Study course: Electrical Engineering (L8); Telecommunications Engineering (LM27);
Area of interest: signal processing; navigation and positioning;
Each project offers the opportunity to collaborate closely with lab members and supervisors. Students interested in exploring research topics not yet formalized as theses or projects are welcome to discuss their ideas with the lab, additional topics may be available upon request. For inquiries or to express interest, please contact us.