Courses of Academic Year 2023/2024

A preliminar list of the didactic offer of the ICT doctorate follows. The list will be completed and updated during the year.
Seminars on Bibliometrics and research Evaluation will be offered by UNIMORE for all the doctorate courses.

Explainable AI in the Neural Network Domain

Program:

Exam:
Not yet defined

CFD: 4


Privacy-preserving computation methods

Program:

Exam:
Not yet defined

CFD: 3


Digital Twin in Smart Cities 

Lecturer: Laura Po

Program:

Exam:
Not yet defined

CFD: 3


Modelling, Identification and Control of Robots

Lecturer: Luigi Biagiotti, Roberto Zanasi, Laura Giarrè

Program:
The course introduces the theory of optimal predictive control (Model Predictive Control), starting from the formulation of the optimal control problem with quadratic cost for linear systems (LQ control). The main stability and persistent feasibility results will be illustrated using numerical examples and applications in the automotive and Matlab toolboxes such as MPT and MPC toolbox.

Exam:
Not yet defined

CFD: 3


The “Wide” Advantage in Power Electronics

Lecturer: Nicolò Zagni

Schedule:
February 13-15-20-22 2024
09.00 AM -12.00 PM
Meeting Room MO27 Building - 1st Floor

Program:

The course introduces students to the performance improvement that power electronic circuits can achieve by taking advantage of the “wide-band-gap” semiconductor technologies.

Gallium-Nitride and Silicon-Carbide based devices recently entered the market but they are expected to replace in a near future the conventional Silicon-based devices that represent nowadays the mainstream technology.

The course will cover the following topics:

  1. Power electronics and its applications/markets, wide-band gap semiconductors, figures of merit, basic power switching converters
  2. SiC and GaN devices: operating principles, power transistors structures
  3. Stability and Reliability of GaN HEMTs, trapping effects, trapping mechanisms, measurement techniques
  4. Advanced research topics: hole redistribution model, breakdown mechanisms, partial Ron recovery, vertical GaN devices, ultra wide-band gap devices

Exam:
Written Test

CFD: 3


IP4Engineers

Lecturer: Isabella Ferrari

Schedule:
May 2024

Program:
This course examines the interaction between law and engineering, in order to provide students with an interdisciplinary perspective on nowadays global challenges. The course will deeply touch on the so-called 'Law by design' approach, comparing efficient solutions set by governments, parliaments and technical players on the domestic and the international stage.

Exam:
Not yet defined

CFD: 3


The basic principles of project management

Lecturer: Prof. Massimo Bertolini

Schedule:
7/05 - dalle 16 alle 18
9/05 - dalle 16 alle 18
14/05 - dalle 16 alle 18
16/05 - dalle 16 alle 18
21/05 - dalle 16 alle 18
23/05 - dalle 16 alle 18
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Per "l'iscrizione" al corso, ho creato il Team The basic principles of project management - Ph.D. Class | Generale | Microsoft Teams Basta che gli studenti si iscrivano / chiedano l'iscrizione

Program:
The course aims at providing the theoretical and practical fundamental knowledge of project management as a required tool for the design and the development of a project. The topics will be covered within the framework of PMBOK (Project Management Body of Knowledge) of PMI (Project Management Institute).

Exam:
Not yet defined

CFD: 3


AI and ML for financial data analysis

Lecturer: Petter Kolm (New York University)

Schedule:
June 2024

Program:

Exam:
Not yet defined

CFD: 0


Introduction to the Monte Carlo Methods for Engineering Applications 

Lecturer: Pierpaolo Palestri

Schedule:
27/5 ore 15-18
4/6 ore 10-13
10/6 ore 15-18
17/6 ore 15-18
Sala riunioni 1o piano MO26.

Per accedere al materiale didattico fare richiesta di iscrizione al Team: Introduction to the Monte Carlo Methods for Engineering Applications | Generale | Microsoft Teams

Program:
Techniques based on the generation of random numbers (referred as “Monte Carlo”) found widespread use in fields going from astrophysics, to semiconductor devices, chemistry, material science, and mechanics. For example, in device physics the Monte Carlo method consists in simulating the motion of sample particles as a sequence of classical motion interrupted by scattering events described by quantum mechanics. Random sampling is also used to solve integrals in many dimensions and to generate random parameters with wanted probabilistic distribution to be employed in simulation of various systems. The first part of the course provides examples of use of the Monte Carlo method to simulate the motion of sample particles, the generation of random variables and functions and the development of Kinetic Monte Carlo algorithms. Simple codes in MATLAB will be shared with the students and modified by them to solve relevant engineering problems. In the second part, the focus will shift to the use of Monte Carlo techniques to simulate carrier transport in semiconductor devices.

Exam:
Not yet defined

CFD: 3


Semiclassical and quantum mechanical foundations of modern nanoscale FET device operation

Lecturer: Luca Selmi

Schedule:

Giovedì 27.6 ore 9.30-11.30

Venerdì 28.6 ore 9.30-11.30

Martedì 2.7 ore 9.30-11.30

Mercoledì 3.7 ore 9.30-11.30

Giovedì 4.7 ore 9.30-11.30

Venerdì 5.7 ore 14.00-16.00


Sala riunioni MO2 piano terra

Program:
Based on a succinct and highly focused review of a few key concepts of quantum mechanics the course will introduce the foundations of the semi-classical approach to nanoscale electron device modeling. Selected elements of quantum mechanics are merged with classical electrostatics and transport theory to yield a state of the art description of advanced nanoscale FET. Conventional, strained and alternative channel materials, quasiballistic transport in a 2D or 1D electron gas, FinFET, double gate FDSOI, nanowire, nanosheet and nanofork gate all around device architectures will be addressed.

Exam:
Not yet defined

CFD: 3


Securing the Internet of Things: Emerging Trends, Challenges, and Future Research Directions

Lecturer: Carlo Mazzocca
Carlo Mazzocca is a postdoc researcher at the University of Bologna. His research interests mainly include digital identity, security mechanisms based on distributed ledger technologies, and authentication and authorization solutions for the cloud-to-thing continuum

Schedule:
9-11 July, 2024
aula P1.1 dalle 14 alle 19

Program:
This Ph.D. course provides a comprehensive exploration of emerging trends for securing the Internet of Things (IoT) environments. For each topic presented, students will learn state-of- the-art solutions, challenges, and future research directions.

Introduction (1.5 hours)

  • Introduction to IoT and cybersecurity
  • Common cybersecurity threats and vulnerabilities
  • Attack vectors in IoT environments
  • Analysis of real-world IoT security breaches

Lightweight Cryptography Algorithms for IoT Devices (1.5 hours).

  • Limits of conventional cryptography algorithms
  • Existing lightweight cryptography algorithms
  • Open challenges and research directions

Digital Identification in IoT Networks (3 hours)

  • Identity of Things
  • Access control models and identity management systems
  • PKI certificates, decentralized identifiers, and verifiable credentials
  • Revocation of PKI certificates and verifiable credentials
  • Open challenges and research directions

Machine Learning in IoT Security (3 hours)

  • Firmware analysis
  • Attack detection and mitigation
  • Intrusion detection systems
  • Federated learning
  • Public IoT datasets for network security research
  • Open challenges and research directions

Distributed Ledger Technologies for IoT (3 hours)

  • Access control and identity management systems
  • Interoperability, confidentiality, integrity, and privacy
  • Application domains
  • Integration of distributed ledger technologies and federated learning
  • Open challenges and research directions

Exam:
Students will be asked to produce an essay about possible intersections between their research interests and the topics/open issues presented in this course

CFD: 3


Enhance your Soft Skills: ICT Summer School for Personal and Professional Development

Schedule:
26-30 Agosto 2024

Program:
The partecipation to the school is mandatory for the students of the first year

Exam:
Not yet defined

CFD: 5


Spatial Data Visualization

Lecturer: Ana Cristina da Costa Oliveira Alves (Polytechnic Institute of Coimbra)

Schedule:
7-11 October 2024

Program:

Exam:
Not yet defined

CFD: 3