Short Abstract
During this project, the student will develop a measuring instrument to perform photometric analysis of vinegar in order to evaluate acidity and other relevant parameters.
The student will therefore start with a provided microcontroller for photometric analysis, evaluate the optical wavelengths to be used, develop the mechanical components for the measurement, and finally characterize the final instrument.
The project combines aspects of analog electronics, microcontroller programming, and data analysis.

Short Abstract
The project focuses on developing a measurement procedure aimed at characterizing commercially available vision sensors for the automotive sector (stereo cameras, LiDAR, radar, etc.). The student will work closely with CNH engineers at the San Matteo plant in Modena on an automated track for simulating moving vehicles. In the following the main tasks:
– Development of a DAQ system for data acquisition and sensor selection.
– Definition of targets (reflectance, ISO, etc.) for different sensor types.
– Definition of a measurement routine based on speed profiles and atmospheric conditions.
– Data post-processing.
– Optimization of the routine based on data analysis.
– Implementation of the test routine on a Python-based control platform.

Short Abstract
This project aims to estimate the moisture content of straw by analysing how the capacitance and impedance of the material varies with frequency. To do this, Analog Devices’ ADuCM350 board will be used. The work involves setting up a measurement system, collecting data on straw samples with different moisture levels and processing the results to find a reliable correlation. The project combines aspects of analogue electronics, measurement, and data analysis, with practical applications in agricultural monitoring.

Short Abstract
This project involves the development of a multi-mode mixed-signal system for the acquisition of biological signals, in particular photoplethysmography (PPG) and skin conductance (EDA). The student will design the analogue and digital systems required to acquire, condition and digitise these signals. The system will integrate multiple sensing modes to simultaneously capture cardiovascular and electrodermal activity, enabling richer physiological analysis. The main tasks include hardware design, signal processing and system validation.