The TUAI Project (Towards an Understanding of Artificial Intelligence) is a Marie Skłodowska-Curie Doctoral Network under the Horizon Europe program. The Principal Investigator (PI) for UNINA is Prof. Francesco Piccialli. This project focuses on training a new generation of researchers in sustainable AI solutions, addressing challenges in smart manufacturing, smart cities, healthcare, and mobility.

Key Objectives

• Develop AI-driven solutions for reducing energy consumption in smart cities.
• Create smart manufacturing processes to minimize waste and optimize resources.
• Implement AI models that ensure sustainability and trustworthiness in various sectors.
• Train doctoral candidates (DCs) through multilateral academic and industrial training.

Research Areas

• Time Series Analysis: Analyze large sets of temporal data for AI applications.
• Sensor Fusion: Combine data from multiple sources to enhance decision-making.
• Federated Learning: Implement decentralized machine learning models.
• Sustainability and Trustworthiness: Ensure AI systems are sustainable and reliable.

Project Duration

The project runs from October 1, 2024 to September 30, 2028, with a total duration of 48 months.

MODAL Recruitment Information

The Università degli Studi di Napoli Federico II (UNINA) is currently seeking to recruit 3 PhD students for the TUAI project. For detailed information on the recruitment process, please refer to the following document: TUAI PhD Recruitment Details.

Partners

• Coordinator: POLITECHNIKA SLASKA (SUT), Gliwice, Poland
• UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II (UNINA), Naples, Italy
• UNIVERSIDAD POLITECNICA DE MADRID (UPM), Madrid, Spain
• NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET (NTNU), Trondheim, Norway
• UNIVERSIDAD DE OVIEDO (UNIOVI), Oviedo, Spain
• HOGSKULEN PA VESTLANDET (HVL), Bergen, Norway
• Associated Partners: ALMAWAVE SPA, AIUT LTD, GMV AEROSPACE AND DEFENCE SA, BIOKERALTY, NORSK REGNESENTRAL, and more.

Doctoral Training Program

The program will recruit 13 Doctoral Candidates (DCs), who will engage in interdisciplinary research and participate in secondments across Europe. The network-wide training will be conducted through collaboration between academia and industry, preparing candidates for careers in both sectors.