Training and Research
PhD Programme Courses/classes - 2024/2025
Advanced techniques for acquisition of biomedical images
Credits: 1
Language: Ingelese
Teacher: Pietro Bontempi, Federico Boschi
Algorithmic motion planning in robotics
Credits: 1
Language: Italian
Teacher: Paolo Fiorini
Brain Computer Interfaces
Credits: 3
Language: Inglese
Teacher: Silvia Francesca Storti
Data visualization
Credits: 1
Language: Italian
Teacher: Andrea Giachetti
Modelli di Intelligenza Artificiale Spiegabile: stato dell'arte, promesse e sfide
Credits: 2,5
Language: Inglese
Teacher: Gloria Menegaz
Foundation of Robotics Autonomy
Credits: 1
Language: Italian
Teacher: Paolo Fiorini
Generative AI
Credits: 1,5
Language: English
Teacher: Francesco Setti
Modellazione e analisi 3D
Credits: 1
Language: Italian
Teacher: Andrea Giachetti
Modellazione e verifica di sistemi digitali
Credits: 1,5
Language: Italian
Teacher: Franco Fummi, Nicola Bombieri, Graziano Pravadelli
Nanomaterials: synthesis, characterization and applications
Credits: 1
Language: English
Teacher: Francesco Enrichi
Soft robotics: from nature to engineering
Credits: 1,5
Language: Italian
Teacher: Francesco Visentin
Techniques and algorithms for biomechanics of movement
Credits: 2,5
Language: English
Teacher: Roberto Di Marco
Theranostics: from materials to devices
Credits: 1
Language: Italian
Teacher: Nicola Daldosso
Techniques and algorithms for biomechanics of movement (2024/2025)
Teacher
Referent
Credits
2.5
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
The course aims to provide PhD students with basic knowledge, taxonomy, principles and modelling of human motion, presenting state-of-the-art instruments (such as sterophotogrammetry, markerless systems and wearable devices) and approaches to evaluate the mechanics of motion for clinical evaluation and monitoring, and sports purposes. The course will provide attendees with the knowledge and language to interact with partners with different basic training (e.g., clinicians, physiotherapists, sports scientists) to effectively act on broad projects.
Prerequisites and basic notions
Solid background in geometry and algebra, and signal analysis. Knowledge of MATLAB and Python programming languages.
Bibliography
When and where
Lectures: theory and demonstration of data analysis examples from various contexts.
Learning assessment procedures
Presentation and discussion of a project work.
Assessment
The project work must be presented according to the criteria valid for high-level scientific papers. The candidate must demonstrate to have correctly framed the problem within the relevant literature, understood the significance of the problem, use methodological rigor, and be able to effectively present the results while discussing their possible implications.
Criteria for the composition of the final grade
Project work evaluation according to the given criteria.
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability
PhD school courses/classes - 2024/2025
PhD School training offer to be defined
Faculty
nicola.bombieri@univr.it
+39 045 802 7094
Fiorini Paolo
PhD students
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Guidelines for PhD students
1. Distribution of ECTS per Year (60 CFU/year)
16 credits for coursework are allocated for the 1st and 2nd year, and 8 credits for coursework in the 3rd year, divided equally (50%) between the PhD Program (Intelligent Systems Engineering) and the University of Verona's Doctoral School. The remaining credits are for research (44 in the 1st and 2nd year, and 52 in the 3rd year).
- Coursework ECTS of the PhD Program in Intelligent Systems Engineering: These are obtained by participating in the educational activities provided by the PhD Program in Intelligent Systems Engineering or by attending Winter Schools or Summer Schools. Participation in Winter and Summer Schools for the purpose of earning coursework ECTS must be agreed upon with the tutor and the Coordinator. The PhD program’s educational activities can be found in the "Educational Offer of the Program" section on the program's web pages.
- Coursework ECTS of the University of Verona's Doctoral School: These are obtained by attending seminars and transversal courses, which can be found in the "Educational Offer of the School" section on the Program’s web pages. This category includes activities provided in other competence areas of the School according to Ministry provisions, such as language, computer, and statistical courses, courses on library resources, copyright, and other topics related to the organization and management of research. Some of these activities may only require passing an assessment (without attending the course) to earn the ECTS.
- Research ECTS: These are obtained by working on the research project, participating in "optional" training activities both at the PhD Program site and elsewhere, attending conferences as a speaker or listener, or through publications, etc. The activities undertaken must be listed in the PhD student's annual report. The composition of the research ECTS is at the discretion of the PhD student and the tutor. Research ECTS do not need to be formally (self)certified or checked by the Coordinator, as they are evaluated by the Academic Board as part of the PhD student's annual report.
2. Research Stays Abroad
The PhD study regulations stipulate that "The PhD student usually undertakes periods of research, training, and internships at public or private entities abroad." For students in the PhD Program in Intelligent Systems Engineering, it is strongly recommended to carry out a research period abroad of at least three months, preferably between the second and third year, in a context conducive to developing the PhD project. Funding for missions abroad can be obtained through various Erasmus calls (for study and internship) and the UniVR mobility call, in addition to the annual budget allocated for each PhD student and any external funds.
3. Verification of Achievement of Educational Objectives
The achievement of educational objectives for advancing to the next year and for confirming the scholarship (for the 1st and 2nd year) or admission to the final exam (3rd year) is verified based on the following activities and documentation:
- Completed coursework credits module (checked by the Coordinator).
- End-of-year report on the activities carried out by the PhD student, experiences gained, and skills acquired (approved by the tutor).
- Presentation to a subcommittee including at least two members in addition to the tutor (and co-tutor) of the research results obtained during the year.
- Report from the abovementioned subcommittee on the research activity carried out during the year.
4. Forms
The forms can be found on the University’s Intranet in the section:
"How to → PhDs → My Career as a PhD Student"
