Course contents This course provides a comprehensive analysis of the interactions between electromagnetic (EM) fields and biological systems. The training focuses on the physical quantities involved in the coupling of EM fields with the human body, the dielectric properties of biological tissues, and the current international safety standards for public and occupational exposure. The course explores the physical principles governing electromagnetic field coupling with the human body, specifically analyzing the electrical and dielectric properties of biological tissues as a function of frequency. The study covers a broad spectrum of biological effects—from low frequency to microwaves—investigating interaction mechanisms such as electric stimulation […]

Course unit contents This course explores Micro-Electro-Mechanical Systems (MEMS) for biomedical imaging and their integration into next-generation diagnostic systems, focusing on ultrasound and Terahertz (THz) radiation. The curriculum provides the analytical and methodological tools required to design, model, and characterize MEMS-based transducers for ultrasound imaging and Terahertz imaging for clinical applications. The course introduces biomedical imaging techniques, describing the primary role of MEMS devices in both traditional and emerging imaging modalities. The program covers MEMS technology, discussing different modeling approaches and describing the microfabrication processes that transform Silicon into 3D resonating microstructures. Proposed MEMS transducers modeling methodologies include analytical models based […]

Course contents This course provides an advanced introduction to Finite Element Analysis (FEA) applied to multi-physical domains. The training focuses on the theoretical and practical aspects of structural, thermal, and electrical field simulations, exploring how these physical dimensions interact within complex engineering systems and device design. The curriculum begins with a general introduction to the fundamental aspects of Finite Element Analysis across structural, thermal, and electrical disciplines. Initial modules cover structural modeling using plane and solid elements, followed by detailed thermal analyses implementing conduction, convection, and radiation. A significant portion of the course is dedicated to multi-physics simulations, where students explore […]

Course contents This course provides a robust foundation in statistical methodologies and data-driven modeling tailored for engineering research. The programme bridges traditional inferential statistics with modern computational intelligence, equipping doctoral candidates with the analytical framework required to extract meaningful insights from complex experimental and industrial datasets. The curriculum is structured to guide students from foundational descriptive and inferential statistics to more advanced analytical techniques. Initial modules cover linear and non-linear regression models, providing the basis for characterizing system behavior. A significant portion of the course is dedicated to Machine Learning, specifically investigating both supervised and unsupervised algorithms for classification, clustering, and […]

Course contents This course offers an in-depth exploration of the aerodynamic design and analysis of axial-flow industrial fans. The programme bridges fundamental aerodynamic theory with advanced computational and experimental methodologies, providing doctoral candidates with the expertise required to optimize fan performance in complex industrial applications. The curriculum covers the fundamental operating principles of axial-flow fans, analyzing aerodynamic performance parameters and internal flow approximations across 1D to 3D models. A significant focus is placed on preliminary design strategies, utilizing similarity principles to define optimal fan size, rotational speed, and meridional geometry based on specific performance requirements. Detailed aerodynamic design modules explore aerofoil […]

Course unit contents Module 1 (4 hours): Library Services: Overview of engineering libraries and their services, including local and interlibrary loans, document delivery, bibliographic references, and book purchase proposals. Search Tools: Introduction to GalileoDiscovery, the University of Padua's official library search tool. Specialized Databases: Navigation of key engineering, economics, and management databases (e.g., BSC, IEEE Xplore, Engineering Village, Reaxys, ACM Digital Library, ASTM Compass, DieselNET, Total Materia, and BSOL). Citation Databases: Utilization of major citation databases, specifically Scopus (Elsevier) and Web of Science (ISI). Bibliometrics: Understanding bibliometric indicators and the metrics used for evaluating the quality of scientific publications. Module 2 […]

Course contents This course presents advanced strategies for materials selection, integrating technical functionality with environmental sustainability. The programme focuses on the definition of performance indices and the analysis of the material life cycle, providing doctoral candidates with the tools needed to optimize component design while minimizing ecological impact. The curriculum introduces the fundamental principles of materials selection through the definition of performance indices, such as the optimization of component lightness based on density and mechanical properties. Using material property charts, students will learn rapid selection techniques and extend these methodologies to environmental studies through the definition of ecological performance indices. A […]