Hugo P. Maia
Hugo P. Maia is a PhD candidate in Physics at Universidade Federal de Viçosa (Brazil), where he also completed his undergraduate and master’s studies in Physics. He is currently participating in an international exchange program visiting Universidad de Zaragoza/BIFI to work under the supervision of Professor Yamir Moreno at the COSNET Lab. His research focuses on complex systems and statistical physics, particularly on dynamical processes in complex networks. At COSNET, he is studying contagion dynamics in higher-order networks, with some other interests including opinion polarization and modeling disease spreading in networked systems.
Chengbin Sun
Chengbin Sun received his master’s degree in computer application technology from Shandong Normal University in 2021. He is a PhD student in management science and engineering at the School of Economics and Management, Dalian University of Technology. His current research interests include: complex networks and systems, evolutionary game theory and resource allocation, multi-agent games, etc. He has published about 8 scientific papers in international refereed journals (e.g., CNSNS, Chaos, AMC, CSF). He is currently studying at BIFI as a visiting PhD student for two years (2024.01-2026.01), and his supervisor is Professor Yamir Moreno.
Yucui Wu
Dr. Yucui Wu (Tiangong University, the China). She obtained the bachelor’s degree from the School of Mathematics and Science in Ludong University, Shandong, China and the Master in
Operations Research and Cybernetics at the Faculty of Science in Beijing University of Civil
Engineering and Architecture, Beijing, China. Dr. Wu has received the Excellent Graduate of
Beijing University of Civil Engineering and Architecture. Her main research interests lie in the
modeling of complex systems, dynamics of epidemic diseases and stability analysis of the equilibrium points. She is good at theoretical analysis of infectious disease. In particular, her current research interests are mainly focused on the interaction process between two diseases, the mutation of strains and the analysis of vaccination effects.