This is the archive with the major experiences gained in the Academy by students and collaborators in 2024 and 2025.
2025
| Name of the project | Area | Stager | University | The reason for the stage |
| 24008 – Motor control board control via CAN BUS | CAN bus, Automation, STM32, Embedded Linux | Mohammad Sari |  | Thesis |
| 25006 – Image Generation Using GANs for Improving Computer Vision Algorithms | Generative AI (GenAI), Computer Vision | Moones Mobaraki | | Thesis |
| 24006 – Optimization of a 3D machine simulator biomedical laboratory | Digital Twin, 3D Graphics | Alessandro Bressan | | Thesis |
| 25001 – Real-time IoT data streaming | Cloud Computing, IoT, Big Data, Data transmission | Matteo Squarzoni | | Thesis: Development of an IoT System for Real-Time Sensor Data Transmission |
| 25000 – Implementation of image classification algorithms using deep learning techniques | Computer Vision | Gianmaria Frigo | | Thesis |
| 24001 – Safe and Efficient Distribution of Firmware Updates via cloud services | OTA Updates, Cloud Programming, Firmware programming | Skander Helali | | Mandatory for Invest Your Talent in Italy (IYT) Scholarship |
| 24004 – Machine Learning & Computer Vision (in a Liquid Handler) | Computer Vision, Liquid Handling, Image Classification, Embedded System | Marco Falanga | | Thesis: Robust and Efficient AI Vision for Real-Time Monitoring on Embedded Liquid Handling Systems |
| 24010 – Design of a Buck-Boost DC-DC Converter | HW Design, DC-DC converter | Dragomir Rosculet | | Thesis |
| 24014 – Design of a Robotic Arm for Capper/Decapper | Capper/Decapper, Robotic arm, Mechanical design | Francesco Baù | | Thesis |
| 25011 – Analysis and Recognition of Anomalous Lighting Conditions | Computer Vision, Anomaly Detection, Image Processing, ML/AI | Mattia Maragno | | Thesis |
| 25003 – Observability e Monitoring | Microservices, IoT, ML/AI | Guirong Lan | | Thesis |
2024
| Name of the project | Area | Stager | University | The reason for the stage |
| 24002 – Data Security Management in an IoT Network | Security, Cloud programming, IoT | Raul Seganfreddo | | Thesis: Data security in an IoT network: analysis and development of a decision-making Framework |
| 24005 – Machine Learning & Data Analysis on ECGs | Deep learning, Anomaly detection | Oscar Konieczny | | Thesis: Use of Deep Learning for the detection of electrocardiographic anomalies. |
| 24007 – Creation of a demo for the presentation of a biomedical machine for liquid handling | Liquid Handling, UI, Automation | Ece Bozkurt | | Credits for the degree |
| 24009 – Analysis and integration of a mmWave fall sensor | mmWave, Sensors | Alessandro Molinari | | Thesis: Evaluation of a mmWave radar as a fall detection sensor |
| 24000H – Management of large volumes of data for the training of Machine Learning and Artificial Intelligence algorithms | MLOps, Cloud programming | Mattia Pandolfo | | Thesis: Medical Data Management and Security: Implementing a Data Preprocessing Pipeline for Machine Learning in Cloud Environments |
| 24000A – Data Security Management in an IoT Network | Security, Cloud programming, IoT | Niccolò Carlesso | | Thesis: Data security management in an IoT network |
| 24000B – Biomedical Signal Analysis (ECG) Using AI for Automated Recognition of Cardiac Abnormalities | ECG classification, Deep Learning | Rachele Gorghetto | | Thesis: Deep learning methods for ECG signals classification |
| 24000C – Study the applicability of IT Service Management techniques, on cloud and edge, to M31 projects and products | IoT, Cloud Computing, Edge Computing, ITSM, ITIL | Alois Chinyoka | | Thesis: Description and Implementation of the ITIL Framework in Edge Computing for Enhancing Operational Efficiency |
| 24000D – Application of computer vision techniques to a liquid handling deck | Computer Vision, Liquid Handling | Simone Caregnato | | Thesis: Convolutional neural network-based classification from scratch for computer vision applied to a liquid handling deck |
| 24000F – Application of computer vision techniques to a liquid handling deck | Computer Vision, Liquid Handling, Transfer Learning | Giacomo D’Ovidio | | Thesis: Development of a Machine Vision System for Liquid Handling using Deep Learning techniques |
| 24000G – Study of the state-of-the-art and implementation of a system for the efficient historicization of telemetry from sensors | Sensors, IoT | Filippo Corradi | | Credits for the degree |
