Benoit Gauzère

Benoit Gauzère is affiliated with the DIEM Department at the University of Salerno, Italy. His research focuses on kernel methods applied to graph structures, particularly in chemoinformatics for predicting molecular properties. He defended his thesis in 2015, titled 'Kernels on graphs,' which addressed scalable similarity measures for molecular graphs. His work integrates graph theory, machine learning, and chemoinformatics to enhance predictive models.

He has participated in numerous academic events, including the 15th IAPR International Workshop on Document Analysis Systems (DAS 2022) and conferences like CICLing 2019. He contributed to projects such as CircularSeas and NewsEye, and presented at seminars on topics like multiple kernel learning and graph edit distance computation.

Benoit has been involved in organizing and participating in workshops, doctoral conferences, and science festivals, including events at the University of La Rochelle and the SATT AST. His contributions span academic outreach, innovation awareness, and interdisciplinary collaborations in computer science and applied mathematics.