Documents – Doctoral Program in ICT

PhD students can download from this page the latest versions of the forms to be filled in. For convenience, the name of the file indicates the updated version of the form that should be considered.

File Name	Description	Note
Welcome Day Slides	Slides presented during the first PhD Welcome Day organized to give an overview of the structure and organisation of the PhD Programme, outlining key rules and requirements, including main deadlines, yearly evaluations, and CFU recognition criteria. The event also offered an overview of available opportunities, such as courses, funding for missions, and research visits abroad.	LINK
Doctoral Research Programs Regulations (In Italian)		LINK
Doctoral program report 1st and 2nd years	All the activities related to the current year. Last update: September, 2025	DOCX PDF DOCX (From Cycle XL)
Doctoral program report 3rd year	All the activities related to the whole doctoral studies. Last update: September, 2025	DOCX PDF DOCX (From Cycle XL)
*Research Project Proposal*	For students who are starting their first year. Last update: November 2026	DOCX
Proposal for the next year	The planned activities (for students who are completing the first or the second year). Last update: November 03, 2025	DOCX
Presentation Templates 1st & 2nd years	A template that can be used for presentations in seminars. Last update: February 2025	PPTX (16:9)
Presentation Template 3rd year	A template that can be used for presentations in seminars. Last update: December 2025	PPTX (16:9)
Regulation of training activities	In this link you can find all the information about credits and activities for PhD students. Last update: February, 2025	LINK
CFU certificate	CFU assignment certificate. Last update: September, 2016	DOCX ODT PDF
Assessment form	Assessor’s report form for recommendation. Last update: November 5, 2021	PDF
Guidelines for assessors	Guidelines for assessors for the evaluation of the dissertation submitted in partial fulfillment of the requirements for the PhD degree in ICT. Last update: November 5, 2021	LINK
Research mobility / standard missions	There is an important distinction between research mobility periods and standard missions. Research mobility abroad (study/research periods): Please note that mobility periods carried out as part of your doctoral or study program are not considered missions. For this reason, you should not use the online mission management system for the reimbursement of related expenses. Instead, reimbursement must be processed through the reimbursement form available at this LINK. Please make sure to collect and keep all receipts and documentation. You will be able to submit your reimbursement request once your mobility period has been completed. Before departure, you must obtain formal authorization by following the instructions at Ricerca – Mobilità all’estero. Conferences and Events (Missions): For short-term participation in events such as conferences, workshops, or seminars, you must submit a mission request via the online management system before the event takes place.
Application template for the issuance of the additional certification of “European Doctorate”		LINK
*Template for submitting a request to postpone the thesis submission*	This document serves as a formal template for requesting a postponement of the PhD thesis submission. According to the doctoral regulations, once a student completes their third year and is admitted to the final evaluation procedure by the PhD Board, they are granted a standard period of two months to finalize and submit their thesis to the Board before it is forwarded to the external reviewers. However, students may use this form to formally request an extension of the thesis submission deadline for a maximum of 12 months.	LINK

Study of Architectures, Networks, and Medium Access Protocols for Vehicular Communications in the Context of CCAM (Cooperative, Connected, and Automated Mobility)
Referring Professor: Prof. F. Santucci

The project aims to improve energy efficiency and reliability of communication systems for cooperative and autonomous mobility. Specifically, the research focuses on studying architectures, networks, and medium access protocols characterized by high energy efficiency and reliability for services related to vehicular communications and Cooperative, Connected, and Automated Mobility (CCAM). The project involves the following phases:

– Study of architectures, networks, and medium access protocols aimed at ensuring high energy efficiency and reliability, with a particular focus on CCAM-supported services
– Extension of the study domain to the development of innovative techniques for managing communication devices with limited computational and energy resources, such as sensors for monitoring and localization in smart road contexts
– Design and development of testbeds for experimental validation of the proposed solutions, leveraging the hardware and software assets provided by the hosting laboratories

Agile and Motivational Software Systems for Sustainable Mobility: Microservices, Gamification, and Real-time Infomobility Supporting Citizens and Businesses
Referring Professors: Prof. M. Autili, Prof. A. Bucchiarone

The project includes the following phases:

– Design of a digital platform for sustainable mobility, based on microservices, gamification, and real-time infomobility, to encourage sustainable commuting behaviors
– Needs analysis, co-design, development, and field validation in a real operational context
– Development and testing of the designed platform. Development sprints will be conducted with subsequent user testing and evaluation of usability and motivational effectiveness. GSA will provide data, user access, and experimental support.

Design and Development of Smart Environments for the Enhancement of Cultural Heritage through Gamification and Augmented Realityy
Referring Professor: Prof. H. Muccini

Serious games are increasingly used to enhance user engagement with cultural heritage, promoting interactive learning and immersive exploration. The project aims to create a development environment that enables the integration of AI and Augmented Reality (AR) within gamified applications supporting the enjoyment of cultural assets. The project includes the following phases:

– State-of-the-art analysis
– Design of an architecture integrating serious games, AI, and AR modules
– Development of a platform enabling the creation of gamified applications for cultural heritage exploitation, supported by AI and AR
– Application of the platform to real-world use cases
– Validation of the results

System for Collecting and Analyzing Data from Urban Video Surveillance Networks to Enhance Territorial Safety and Resilience, with Application to the 2009 Earthquake Crater Area.
Referring Professor: Prof. A. Di Marco

The project focuses on the intelligent management of urban video surveillance data to enhance territorial safety and resilience. Using data from the video surveillance system of the municipalities affected by the 2009 earthquake, the project includes the following phases:

– Definition, design, and implementation of a system that collects and preprocesses data from the video surveillance network in compliance with legal, ethical, and privacy requirements
– Definition, design, and implementation of video analysis for the data collected by the system defined in the previous objective
– Development of a Smart Urban Living system to improve citizen safety in general and particularly in disaster scenarios

Details on the grant funded by the PRIN 2022 MEDITATE project
Referring Prof. V. Cortellessa

Title: Model-based generation and optimization of advanced driver assistance systems (ADAS) testing scenarios in co-simulation

Abstract: Advanced Driver Assistance Systems (ADAS) play a crucial role in improving road safety, reducing traffic congestion, and decreasing fuel consumption, thus paving the way to safer and more environmentally friendly mobility. Novel ADAS mostly relies on AI techniques to “understand” the current situation around the vehicle (e.g., a pedestrian in front of the car), plan, and execute appropriate behavior (e.g., emergency braking). The validation of AI-based ADAS is a pain point for automotive companies, due to the sheer number of scenarios that need to be considered. In this PhD program, we aim at improving cosimulation-based validation of ADAS with an integrated framework, supporting both the automated generation of a suite of testing scenarios and their optimization.