Talk by Stefano Ruberto (GSSI)

DATE: Tuesday, July 5th, 2016 TIME:  16:00-16:30 ROOM: WN-M639 (Science Building, VU Campus) Title:  Semantic Genetic Programming Frameworks: Alignment in the Error Space and Equivalence classes Abstract:  Semantics is one of the hottest topics in Genetic Programming. We explain the concepts of error vector and error space directly bound to semantics and, based on these concepts, we introduce […]

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Available PhD position on self-adapting intelligent eHealth apps

Research topic: Self-adapting intelligent eHealth Apps Supervision: Prof. Guszti Eiben (VU, Computational Intelligence), Prof. Patricia Lago (VU, Software and Services), Co-supervision: Dr. Mark Hoogendoorn (VU, Computational Intelligence), Ivano Malavolta (VU, Software and Services) APPLY HERE Vrije Universiteit Amsterdam is a leading, innovative and growing university that is at the heart of society and actively contributes […]

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Dr. Ivano Malavolta joins the S2 Group!

Ivano started this week as assistant professor in the Software and Services (S2) research group, lead by prof. Patricia Lago. His research focuses on software architecture and model-driven engineering, with a special interest on how MDE methods and techniques can be exploited for architecting and representing complex systems at the right level of abstraction. Those […]

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Prof. Patricia Lago named one of the top fifty most inspirational women in the Dutch technology sector

Inspiring Fifty is a pan-European programme that identifies, encourages, develops and showcases women in leadership positions within the technology sector. The aim of the initiative is to showcase and celebrate amazing women to provide girls and young women in the Netherlands with role models who can show them that a career path in technology can […]

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Best Paper Award for Grace Lewis and Patricia Lago

At the flagship International Conferences on Software Architecture, IEEE/IFIP WICSA and Comparch 2016, Grace Lewis and Patricia Lago received a Best Paper Award. The paper presents a decision model for cyber-foraging systems, i.e. software systems and cyber-physical systems that by design optimize the use of resources like energy, cloud services, battery, in resource-scarce environments. Grace will […]

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