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OnlineAIOps
About Project
Acronym
OnlineAIOps
Responsible
Hugo Miguel Mendes Ferreira
Status
Closed
Start
January 18, 2021
End
January 30, 2023
Effective End
January 30, 2023
Global Budget
€755,459.00
Financing
€184,418.00
Members
Team Leaders
Hugo Miguel Ferreira
Hugo Ferreira is a researcher with a PhD in Informatics, in the area of artificial intelligence (automated planning and machine learning), FEUP, 2011. He has been involved in data-mining and machine learning projects in the areas of structural health monitoring (acoustic emissions), on-line recommendation (fashion industry), prediction of industrial energy consumption (ornamental stone cutting machines) and industrial maintenance (detection and prognosis). Other areas of interest include applying machine learning to collaborative processes (decision support systems, social computing, human computing and serious games).
João Mendes Moreira
Areas of research:
- Knowledge discovery
- Intelligent transportation systems
Associated Centres
Artificial Intelligence and Decision Support
Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.
Enterprise Systems Engineering
The research carried out at the Centre for Enterprise Systems Engineering (CESE) has a direct impact on industrial transformation, developing sustainable, resilient, and human-centred solutions to address the challenges of the digital and green transitions. Through a co-creation and development approach with scientific and industrial partners, CESE contributes to improve organisational capabilities and driving systemic innovation in complex industrial contexts. As a multidisciplinary research centre, CESE bridges science and practice in the field of Systems Engineering, focusing on value creation within industrial ecosystems. This mission is structured around five research lines that define CESE scientific and technological expertise: Manufacturing Systems Design and Management, Supply Chain and Collaborative Networks Management, Architectures and Industrial Information Systems, Technology Management in Industry, Transportation and Logistics.
