Marco Corneli

Marco Corneli is a Professor at the University of Côte d'Azur, where he focuses on developing AI models for archaeology and history. He collaborates with the CEPAM laboratory, is a member of the INRIA research team MAASAI, and part of the LJAD laboratory. His research spans network analysis, optimal transport, and 3D shape analysis.

Research Interests:

• Static/Dynamic Network Analysis (Spectral Clustering, SBMs, HRGs)
• Optimal Transport for Machine Learning
• Image and 3D Shape Analysis
• Probabilistic and Deep Learning Methods
• Clustering in High-dimensional and Sparse Data

Advising:

• Davide Adamo (2023 - ongoing, co-advised with E. Vila and M. Vuillien)
• Seydina Ousmane Niang (2023 - ongoing, co-advised with C. Bouveyron and P. Latouche)
• Giulia Marchello (2020-2023, co-advised with C. Bouveyron)
• Cédric Vincent-Cuaz (2020-2023, co-advised with R. Flamary)
• Dingge Liang (2019-2022, co-advised with C. Bouveyron and P. Latouche)

Software Development:

• Co-developed CpDyna (R/C++ package for change point detection in dynamic graphs)
• Contributed to ordinalLBM (R package for co-clustering ordinal data)

Teaching: Delivered courses in statistical learning, graph theory, and data science at University of Côte d'Azur (M2 MA IM), Université Paris 1 (Licence MIASHS), and University of Côte d'Azur (MSc Data Science).