Týmy z Boloňské univerzity nabízejí svou expertizu - AI and decision making, Data prediction, Simulation, Responsible/ trustworthy AI

Výzkumné týmy z Boloňské univerzity nabízejí svou expertizu hned v několika níže uvedených oblastech s cílem zapojit se do konsorcií připravujících projekty do tématu "HORIZON-CL4-2022-DATA-01-01 Methods for exploiting data and knowledge for extremely precise outcomes, reducing complexity and presenting insights". 

Pro zprostředkování více informací se prosím obracejte na národní kontaktní osobu Lenku Švejcarovou (svejcarova@tc.cz).

 - Information Systems, Digital transformation, Machine learning, Data Analysis & Big Data. Research experience in many domain fields ranging from public companies, to utilities and, manufacturing. Details of their contribution can be related to: Advanced information systems for digital companies; Information hubs; KPI and performance analytics; Big data computing and cloud platforms; Data analysis and machine learning for process optimization and transformation; Trajectory mining; Precision & Smart Agriculture [Prof. Matteo Golfarelli].

- Long-standing experience in statistical signal processing also with deep neural methods. Industrial applications to railway infrastructure monitoring, civil structure monitoring, simulation/ compression issues in advanced automotive, satellite predictive maintenance [Prof. Riccardo Rovatti].

- Data monitoring framework for extreme data targeting the monitoring of industrial plants such as datacenters. Techniques based on AI for anomaly detection use case and digital twins use case of the industrial plant [Dr Andrea Bartolini].

- Legal aspects of the data economy, fintech, consumer protection, and data protection law [Prof. Federico Ferretti].

- Application of Business analytics to support performance measurement and management. Contribution to the development of a theoretical approach for applying Business Analytics for performance management purposes in order to exploit their full value potential. Several researches aimed at applying Business Analytics to a number of real business cases in different fields: from supply chain management to bank branches' efficiency measurement, from hotels' efficiency analysis to the assessment of purchasing prices. Analysis of the connection between companies' strategic needs and the potential support generated by different kinds of analytics (statistics, operational research, machine learning) [Prof. Franco Visani].

- Digital experimentation, Mechanical AI, Thinking AI, Feeling AI in manufacturing and service industries; role of AI in improving consumer experience; role of AI in improving firm performance; Big data; Data Analytics; Analytics for competitive advantage; AI and analytics for marketing; AI analytics for innovation [Prof. Marcello Maria Mariani].