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Barbara Pernici is full professor of Computer Engineering at the Politecnico di Milano. She has a doctor in engineering degree (laurea) from the Politecnico di Milano and a MS in Computer Science from Stanford University. Previously she was full professor at the University of Udine (1990-1993) and associate professor at the Politecnico di Milano (1987-1990). Her research interests include workflow information systems design, cooperative information systems, adaptive information systems, service engineering and web services, data quality, and computer based design support tools, energy efficiency in information systems. She has published more than 50 papers in international journals, co-edited 26 books, and published about 350 papers at international level. She is scientific leader in the European project GAMES (Green Active Management of Energy in Service Centers). She also participated in the following ESPRIT and IST European projects: TODOS, developing a tool to support office information system design, ITHACA, developing a model and tools for supporting reuse of object-oriented conceptual components, EQUATOR, developing a model and a temporal deductive information system, and F3, working on the definition of a reuse model and methodology, WIDE (Workflow on Intelligent Distributed database Environment, 1995-1999), RENOIR (network of excellence for requirements engineering) (as Italian coordinator), Chorochronos on spatio-temporal databases (Training and Mobility of Researchers program), WS-Diamond (2005-2008) on self-healing web services, S-Cube, European research network on software services. She has been chief scientist of the Italian MIUR-MURST FIRB research project MAIS (Multichannel Adaptive Information Systems). She has coordinated several National Research Council and Italian Research projects.
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crossref(2024)
INTERNATIONAL JOURNAL OF PUBLIC SECTOR MANAGEMENTno. 1 (2024): 59-76
Ital-IApp.284-289, (2023)
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INFORMATION DISCOVERY AND DELIVERYno. 4 (2023): 371-383
ACM JOURNAL OF DATA AND INFORMATION QUALITYno. 4 (2023): 42:1-42:25
2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)pp.71-78, (2023)
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