Tomasi Lorenzo

M.Sc. Graduate in Computer Engineering from Bologna. Technologist with experience in ICT, smart cities, IoT sensors, embedded systems, networks and infrastructure management. Skilled in experimental signal analysis and in applying Artificial Intelligence and Deep Learning for data interpretation. I have coordinated complex projects, developed integrated systems, led research teams and collaborated with national and European institutions, also contributing to communication, dissemination and training.

My research interests include: smart cities, IoT sensors, air‑quality monitoring, wireless networks, embedded systems, bioelectrical signal analysis, artificial intelligence, and deep learning for experimental and electrochemical data processing.

Smart cities • IoT sensors • Signal analysis • Artificial intelligence • Deep learning

PE6_11 Machine learning, statistical data processing and applications using signal processing
PE7_8 Networks, e.g. communication networks and nodes, Internet of Things, sensor networks, networks of robots
PE6_10 Web and information systems, database systems, information retrieval and digital libraries, data fusion

I have advanced expertise in developing software and embedded systems using Java, C++, Python, and PHP, as well as in managing relational databases such as MySQL and MSSQL. I have experience with wireless communication protocols and networks (Bluetooth, ZigBee), embedded operating systems (FreeRTOS), hardware platforms from Texas Instruments and STMicroelectronics, and web technologies such as REST and XML/XSLT. In recent years, I have also deepened my knowledge of neural‑network development frameworks, including TensorFlow and Keras.