Nicolas Berveglieri
About Nicolas Berveglieri
Nicolas Berveglieri is a Doctoral Researcher at Inria, specializing in evolutionary multi-objective optimization algorithms enhanced by machine learning. He teaches algorithm classes at Université de Lille and collaborates with the French-Japanese MODO laboratory on various research projects.
Work at Inria
Nicolas Berveglieri has been a Doctoral Researcher at Inria since 2018. His work involves collaboration with the French-Japanese MODO laboratory on various research projects. His focus includes the development and enhancement of evolutionary multi-objective optimisation algorithms through machine learning tools. This role allows him to contribute to advancements in algorithmic research and its applications.
Education and Expertise
Nicolas Berveglieri completed his studies at Université de Lille, where he earned a Licence in Informatique from 2013 to 2016. He continued his education at the same institution, achieving a Master MOCAD (modèles complexes, algorithmes et données) from 2016 to 2018. His academic background provides a solid foundation in complex models, algorithms, and data.
Teaching Experience
In addition to his research, Nicolas Berveglieri teaches algorithm classes at Université de Lille. His teaching covers a range of courses from the second year of a bachelor's degree to the first year of a master's degree. This role allows him to share his knowledge and expertise in algorithms with students, fostering their understanding of the subject.
Research Interests
Nicolas Berveglieri's research interests encompass a variety of fields, including algorithmic design, machine learning, big data, network security, cryptography, and bioinformatics. He has a particular focus on non-exact approaches and solid geometry within algorithm competitions, which reflects his diverse expertise in the domain.
Organizing Algorithm Competitions
Nicolas Berveglieri plays an active role in organizing and hosting major algorithm competitions, such as Google Hash Code, at Université de Lille. These events provide a platform for students and professionals to engage in algorithmic challenges, enhancing their skills and promoting innovation in the field.