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Nicolas Guelfi

Prof. Nicolas Guelfi

University of Luxembourg, Luxembourg

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Dr. Nicolas Guelfi is a full professor at the University of Luxembourg and has over 25 years of experience in research projects at national, European, and international levels. He has been a member of the executive committee of ERCIM (European Research Consortium for Informatics and Mathematics) and founded two working groups within this organization: the Rapid Integration of Software Engineering Techniques (RISE) working group and the Software Engineering for Resilient Systems (SERENE) working group. As a researcher in software engineering, Dr. Guelfi has published numerous articles, edited books, and played a key role in conferences as a program chair or member of review committees. His research has primarily focused on requirement definition, specification, and simulation using formal, semi-formal, or informal methods, as well as system dependability and resiliency. Since 2022, his work has shifted towards artificial intelligence, software engineering, fault tolerance, and system resiliency, where he continues to make contributions to the field.

Research Keywords & Expertise

Formal Methods
machine learning
Requirements Engineeri...
Software Engineering
Fault-tolerance

Short Biography

Dr. Nicolas Guelfi is a full professor at the University of Luxembourg and has over 25 years of experience in research projects at national, European, and international levels. He has been a member of the executive committee of ERCIM (European Research Consortium for Informatics and Mathematics) and founded two working groups within this organization: the Rapid Integration of Software Engineering Techniques (RISE) working group and the Software Engineering for Resilient Systems (SERENE) working group. As a researcher in software engineering, Dr. Guelfi has published numerous articles, edited books, and played a key role in conferences as a program chair or member of review committees. His research has primarily focused on requirement definition, specification, and simulation using formal, semi-formal, or informal methods, as well as system dependability and resiliency. Since 2022, his work has shifted towards artificial intelligence, software engineering, fault tolerance, and system resiliency, where he continues to make contributions to the field.