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[Data Week Local Event] Data in Industry: opportunities and challenges

[Data Week Local Event] Data in Industry: opportunities and challenges

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Possible applications of data-driven solutions in the industry, namely in manufacturing, predictive maintenance, and energy management.

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This workshop is promoted by Produtech DIH, in the context of the Data Week 2022 co-organised by EUHubs4Data and BDVA, and will discuss the evolution of data management architectures, pointing to their characteristics and their role in data-driven information systems that support advanced data analytics environments. This includes the presentation of the Technology for Adaptive Data Analytics (TADA) concept, which uses Machine Learning and Metaheuristics for data-based decision support, and a general presentation describing common issues and challenges related to data management when deploying artificial intelligence (AI) solutions in manufacturing settings. The importance of data in industry and in smart grid applications will be discussed based on their opportunities and technological challenges.

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imagem [Data Week Local Event] Data in Industry: opportunities and challenges

Speakers

Carlos Ramos is a Full Professor at Porto School of Engineering (ISEP) and was the first Director of GECAD, currently being a member of the Board of Directors. He was Vice-President of the Polytechnic of Porto, having been responsible for the R&D, Innovation, and Internationalization areas. With the participation in 58 R&D projects (coordinator of 25), and more than 500 publications (~90 in journals), Carlos Ramos has important work in the areas of Planning with AI and Intelligent Environments with application in Industry.

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).

https://www.inesctec.pt/en/people/hugo-miguel-ferreira#short_bio

Maribel Yasmina Santos is a Full Professor of the Department of Information Systems, School of Engineering, University of Minho, Portugal. She is also Senior Researcher in the ALGORITMI Research Centre (http://algoritmi.uminho.pt) and in the IT Engineering Process Maturity and Quality (EPMQ) domain of the Computer Graphics Centre (http://www.ccg.pt). She is the leader of the Software-based Information Systems Engineering and Management Group (http://semag.algoritmi.uminho.pt) at ALGORITMI, also coordinating the "Organisational and Analytical Data-intensive Systems" research track. Her research interests include Business Intelligence and Analytics, with a particular focus in Big Data Analytics and the Data Architectures that support Big Data Systems.

https://maribel.dsi.uminho.pt

Paulo Cortez is Full Professor at the Department of Information Systems, University of Minho. He is also assistant director of the ALGORITMI R&D centre. His research interests are: Business Analytics, Data Science, Decision Support Systems, Neural Networks and Machine Learning, Evolutionary Algorithms and Artificial Intelligence Applications.

He is co-author of more than 197 indexed (e.g., ISI, Scopus) publications in international peer reviewed journals (e.g., Journal of Heuristics, Decision Support Systems, Neurocomputing) and conferences (e.g., IEEE IJCNN, ACM GECCO). He has more than 9450 Google Scholar citations (h-index of 40) and 3873 Scopus citations (without self-citations, h-index of 27). He has participated in more than 36 R&D projects and has supervised 6 Postdoctoral works, 10 PhD thesis, 48 MSc thesis and 18 BSc final graduation projects in the area of Intelligent Data Analysis. He is currently Associate Editor of the journals Decision Support Systems (ranked A* at CORE, JCR Q1) and Expert Systems (JCR Q2), and was formerly Associate Editor of Neural Processing Letters (JCR Q2).

See: https://pcortez.dsi.uminho.pt/

Pedro Rocha is the Executive Director/Coordinator of PRODUTECH DIH. Economist, with specialized training and practioner in Science, Technology and Innovation Management and Economics and Intellectual Property Rights. Member of the Coordination Committee of the Partnership Portugal Clusters, Member of the Steering Committees of the Pilot Actions "3d Printing" and "Efficient and Sustainable Manufacturing" of the European Vanguard Initiative. Member of the Strategic Committee of the Portuguese "Industry 4.0" initiative, on behalf of the partnership Portugal Clusters.

Zita Vale is a Full Professor at the Porto School of Engineering (ISEP). She was Director of GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), a unit classified as Excellent by the Portuguese Foundation for Science and Technology, and is currently a member of the Board of Directors. With participation in more than 60 R&D projects, more than 900 publications (140 in journals), and more than 13,000 citations (h-index 54 in Google-scholar) Zita Vale has an important contribution in Knowledge-Based Systems, Multi-Agent Systems, Neural Networks, Particle Swarm, and Data Mining, with applications in Energy Systems.

imagem [Data Week Local Event] Data in Industry: opportunities and challenges
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