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
Nanomaterials: synthesis, characterization and applications (2024/2025)
Teacher
Referent
Credits
1
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
The objective of this course is providing the basic concepts of radiation-matter interaction and optical properties of materials in relation to their chemical and physical properties, focusing in particular on photoluminescent materials and their characterization.
At the end of the course the students will be able to recognize and explain many natural and artificial optical phenomena such as the absorption and emission properties of luminescent molecules, quantum dots, metallic nanoparticles, nano-and micro-phosphors.
They will also have acquired a good knowledge of the main components of optical measurement instruments and their various characteristics: sources (filament lamps, discharge lamps, fluorescent, LED, LASER), wavelength selection systems (diffraction gratings, prisms), detectors (thermopiles, photodiodes, photomultiplier tubes, CCD).
Prerequisites and basic notions
No specific prerequisites are required, other than basic knowledge of the chemistry/physics of materials.
Program
The course will be done during the second semester 2024.
The course will be organized in the following main areas:
- light-matter interaction
- optical properties of nanosystems
- tools and techniques for optical characterization
- photoluminescence in organic and inorganic materials with examples
Bibliography
When and where
During the course, the open dialogue with students will ensure that all follow and understand the lessons.
The contents will be presented using a Power Point presentation prepared by the teacher and given to the students so that they can follow the lessons.
A few samples of luminescent materials and LED sources for demonstration purposes will be shown.
Learning assessment procedures
There is no exam.
Assessment
Not expected.
Criteria for the composition of the final grade
Not expected.
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"
